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A selection of jobs from the previous newsleterrs.

TED Conferences LLC is hiring a Remote Data Analyst

The Data Analyst will support TED’s growing media and business analytics efforts with a primary focus on TED’s membership and subscription programs, including TED Membership, an initiative aimed at supporting TED’s nonprofit efforts to spread ideas far and wide.

 

We’re looking for a curious soul who is data-savvy, scrappy, and has an eye for the story in the numbers. Success in this role looks like translating data into insights and insights into actionable recommendations that can support marketing, engagement, creative and product teams in optimizing against acquisition, engagement and retention strategies. You should feel comfortable in both collaborative and independent settings, and have a passion for community and impact-driven initiatives. 

 

You’ll be responsible for leveraging data to inform continued and accelerated revenue and customer growth and retention. You’ll work closely with a forecast model to set goals, monitor pacing and provide strategy recommendations. Working closely with both marketing and engagement team members, you’ll support A/B testing efforts, monitor our acquisition and engagement tactics, develop new KPIs to measure success and uncover growth opportunities, and identify ways to reduce churn and support long-term satisfaction and retention. 

 

 

Responsibilities 

  • Manage, organize and report on all customer KPIs, including those associated with revenue and subscriber growth, churn, member satisfaction and engagement, marketing and acquisition, and member make-up
  • Prepare routine reports, including weekly and monthly performance and pacing updates, along with ad hoc deep dives aimed at illuminating key facets of the Membership engine 
  • Create and manage dashboards for key stakeholders + executives
  • Assist in development and measurement of A/B testing across the funnel, from marketing to landing page conversion
  • Create forecasting models across member acquisition channels and work alongside Membership stakeholders to set goals + performance metrics, monitor pacing and make strategy recommendations
  • Support reporting across qualitative methods, like member satisfaction surveys, cancellation feedback, and more
  • Bring data and insights to life through data visualization, storytelling and actionable recommendations

 

Skills + Experience

  • 3+ years experience in an analytics role for a subscription model. Must have an understanding of KPIs affiliated with all aspects of the user conversion funnel — impressions, CTR, conversion, retention — and should have some experience measuring engagement and user-level data.
  • Technical:
    • A deep-level of experience with a range of analytics tools, including: 
      • Product analytics tools such as Google Analytics or Mixpanel
      • Business intelligence + analytics tools like Tableau and Stripe
      • Off-platform-specific tools like Sprout Social and MailChimp
    • Proficient in writing your own SQL queries
    • Deep understanding of digital campaign tracking and UTM parameters
    • Demonstrated understanding of various forecasting methods and their pros and cons
    • Experience with analyzing and measuring results from A/B testing
    • Experience with survey tools, i.e. SurveyMonkey and using qualitative data + sentiment to support a data story 
    • Bonus points for:
      • Demonstrated proficiency with data extraction, cleaning, and visualization using R and ggplot2
      • Creating dashboards in Tableau
      • Querying data from a data warehouse (preferably experience with Snowflake or BigQuery)
      • Managing source code via GitHub
  • Storytelling: 
    • Proven ability to analyze and evaluate data, identifying the insights and takeaways that inform top-of-mind content and business decisions 
    • Proven success shaping reporting and deliverables with unique stakeholders’ needs in mind
    • Experience with data visualization; ability to tell an engaging, clear and actionable story around data
    • Exceptional communication + presentation skills
    • Proven success informing strategy through data-driven recommendations and insights
    • Understanding of a customer acquisition funnel, and familiarity with mapping KPIs and goals to each part of the funnel
    • Ability to use qualitative data + sentiment to support quantitative data stories 
  • Inclusivity:Eagerness to understand the cultures, values, goals, and constraints of others, whether they are TED staff, partners, audience members, or beyond.

 

 

 

 

 


 

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Onit is hiring a Remote Senior Marketing Business Operations and Analytics Manager

The Senior Marketing Business Operations and Analytics Manager is responsible for demand generation goal development, the lead lifecycle reporting process and financial operations.  The person that fills this role will be responsible for building and evolving dashboards that provide real-time insights into how Marketing influences pipeline and growth for Onit.  Additionally, this role will also manage Marketing’s business operations and finances including tools, planning, tracking spend, gathering updates, and ongoing optimization.

The Senior Marketing Operations and Analytics Manager will work cross functionally with demand generation, events, sales development sales, product marketing, and revenue/sales operations.  The role will also own weekly, monthly and quarterly reports to executives and key stakeholders on lead lifecycle and pipeline performance, and marketing’s spend.  The Senior Marketing Operations and Analytics Manageralso provides ongoing proactive insights into optimizing and improving our campaign performance, driving pipeline and managing our finances and spend more effectively.

  • Leads and orchestrates the annual and quarterly marketing lead lifecycle goal development
  • Track and report on the entire marketing funnel including volume, velocity, conversion, stage-to-stage, and average values
  • Develop detailed campaign performance dashboards that track source, touches across the buyer’s journey, interests, and territory
  • Create and deliver data-driven financial and lead to pipeline performance presentations for review by executives, managers, and other stakeholders.
  • Develop and communicate insights based on collected data to assist key decision makers on strategy decisions
  • Administer the marketing budget and ensure marketing costs are tracked correctly
  • Identify opportunities for business process improvements and make recommendations
  • Own the technology that supportsdemand generation goal development, financial operations and lead lifecycle reporting processes

Skills/Requirements:

  • 5+ years of experience in marketing operations and analytics at a global B to B enterprise software company
  • Bachelors degree preferred
  • Background in building lead lifecycle goals and KPIs globally
  • In-depth experience with building dashboards that provide real-time insights into how Marketing influences pipeline and growth
  • Experienced with tracking of KPIs and metrics for all marketing investments to provide visibility into the effectiveness, efficiency and multi-touch attribution associated with marketing efforts, and enabling greater return on investment
  • Experience using reporting and visualization tools (Salesforce, Tableau, and Marketo preferred)
  • Experience with managing and tracking Marketing finances
  • Proactive, organized, detail oriented, and quality driven
  • Excellent verbal and written communication skills, with the ability to lead structured meetings and deliver a message to executive management

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Learning Ally is hiring a Remote Data Science Fellow

Data Science Fellow

Learning Ally is a leading nonprofit education solutions organization that transforms the lives of struggling learners by delivering proven literacy solutions that help students reach their potential. Our mission is to radically change education, transforming the lives of children by providing reading interventions and solutions to help them succeed academically, build self-confidence, and thrive in school and beyond. In the US, 65% of fourth graders read below proficiency and are 400% more likely to drop-out of high school. For most “at risk” students (students of color, low income, English Language Learners and students with learning disabilities) the problem is even more acute.

Learning Ally seeks to break this cycle. With early student assessment, intervention and accommodation and professional development for educators, Learning Ally can identify and prevent learning issues by working with schools and educators to support new and struggling readers. Our solutions build a strong foundation for independent, engaged learners who are empowered to achieve socially, emotionally, and academically, regardless of background or learning difference.

Founded in 1948 as Recording for the Blind, to help soldiers who lost their sight in combat continue their education with audiobook products, Learning Ally has evolved to help individuals understand the unique ways they learn and match them to the solutions that enable personal achievement. Today, Learning Ally reaches over 1,500,000 students, 200,000 educators and 18,550 schools across the country and continues to expand its reach. With a continued commitment to supporting students who learn differently, Learning Ally has joined researchers and neuroscientists from renowned institutions including UCSF and MIT, to better understand and address learning issues. You will find that our culture is one that is very committed to our mission, innovation, professional growth, and diversity, equity, and inclusion.

About the Data Science Fellow

The Data Science Fellow is a program designed for exceptional candidates who’ve demonstrated interest and passion for data science but may not yet fully possess technical training in data extraction and machine learning techniques typical of a data scientist. This program enables these candidates to develop skills in data extraction, data analysis, and business acumen while assisting in the resolution of data problems related to Learning Ally’s mission of ending the literacy gap in the United States by 2040.

Ultimately, outputs created by the Data Science Fellow enhance our ability to:

  • Grow reach and revenue - develop high quality predictive models that better identify well-qualified prospective K-12 school customers. In conjunction with sales leadership, continually refine and update predictive models that drive greater growth among Learning Ally K-12 sales
  • Surface insights that deepen engagement among users of Learning Ally solutions and services - create predictive models that examine the behaviors and selections of well-engaged Learning Ally users and use these to create algorithms that drive positive behaviors among other members and which ultimately lead to greater engagement with Learning Ally services
  • Inform the development of new data-driven solutions and value proposition - develop statistical models that mine insights among Learning Ally’s community and which can be developed into value-add solutions that enable new solutions and services
  • Address strategic business problems - help improve Learning Ally’s ability to solve
    complex business problems by bringing together disparate data streams and statistical analysis in order to drive improved decision makers

As a Data Science Fellow, you’re expected to be able to:

  • Commit to taking the developmental steps needed in order to enhance your prowess around data extraction, data science analysis, and business acumen
  • Work in multi-disciplinary and cross-functional teams to decode business requirements into machine learning based goals and modeling approaches; rapidly iterate model structure and design through parameter tuning, data transformation, and accuracy measurement selection to refine and validate approach
  • Operate in a fast-paced and dynamic environment with both virtual and face-to-face interactions; communicating results and insights, and educating others through insightful visualizations, reports, and presentations adapted for both technical and non-technical audiences
  • Empower others to be self-sufficient in data by building self-service tools and reports to drive awareness and understanding of key metrics
  • Analyze large-scale structured and unstructured data; develop deep-dive analysis and machine learning models to drive member value and customer success.
  • Support the design of experiments to test new product ideas or go to market strategies. Convert the results into actionable recommendations.
  • Applies analytical rigor and statistical methods to analyze large amounts of data, using advanced statistical techniques such as predictive statistical models, customer profiling, segmentation analysis, survey design and analysis and data mining.


About the Data Science Fellow Curriculum

As a Data Science Fellow, you’ll develop key skills around areas of data extraction, data analysis, communication, and business acumen. Further detail is provided below.

  1. Skill in data extraction

    1. Proficiency with SQL: SQL is the primary and foremost necessary concept at Learning Ally. Our data is stored in Relational SQL tables. We expect data scientists to know RDBMS in-depth to access, retrieve, and manipulate the data through SQL. We expect Data scientists to build and write complex queries involving joins, sub-queries and extract data to use it for further analysis.
    2. Proficiency with organizing data structures - Data scientists should be proficient with all the data produced in different systems across the business and understand how other systems are integrated, able to join data from disparate systems, and able to stitch together different data streams and make meaning. For example: Understand Building Data and connecting features available internally in NS, DMART, MDR, Marketo, and Excite.
    3. Proficiency with our business systems:

      1. Data Mart (DMART) and PowerBI: We have Microsoft SQL Server Analysis Services (SSAS) Cubes developed using Data Mart, which gathers data from different business systems. These existing cubes have defined business rules and can be accessed using PowerBI. Data related to ABS involving utilization of schools and users can be accessed via cubes in PowerBI. In addition, Cubes primarily use DAX Query language, and the data scientist should possess knowledge of the same. In addition, data scientists should be able to understand needs from other business units and translate those needs into data measures and work alongside Data Architect to have them produced in DMART.
      2. NetSuite (NS): Netsuite acts as our Customer Relationship Management (CRM) tool and has all the information of our relationships with customers and is primarily used by the Sales, Ed Success, Customer Success, and Finance departments. Data scientists should be able to understand different components of our CRM, possess knowledge of data available in NS, understand different integrations that exist in NS, build basic queries in NS, work with the NS team, and articulate needs for complex data requirements.
      3. Marketo: Marketing uses Marketo for prospecting and nurturing leads. Data scientists should be able to query the entire database of Leads in Marketo and be successfully able to retrieve leads based on specific criteria. In addition, work with Marketing to understand the different campaigns in flight that may affect leads.
      4. Launchpad (Excite): Excite has been developed on a new platform, “Launchpad,” that integrates with Clever. The Data Scientist needs to understand the overall Excite Database Schema, the hierarchy of Districts and Schools, User Information to extract insights on their usage behavior. All of the data is stored in SQL. Given that it is in the early stage of development, the data scientist would be expected to run queries and gather data for analysis continuously.
      5. Glide: The data scientist must understand glide and build applications as the Data Science team internally uses it to stitch different data streams together and share insights and data with other groups.
  2. Skill in Analysis :

    1. Spreadsheets (Google Sheets/ Excel): Data scientists should be proficient when operating with Excel and are expected to analyze data, write formulas to summarize, and present the information. Here are some of the functions to be proficient in - conditional formatting, Ranges, Tables, Text functions, Date & Time functions, Subtotals, lookups, etc.
    2. Programming in Python - Data scientists should be proficient with Python, especially in Jupyter Notebooks, and should be experienced with two packages, namely: Pandas and Numpy. Once we have extracted data, the Data Scientist would use Python to transform data and visualize and examine other insights.
    3. Basic Statistics for Data Analysis: Data scientists are required to have a good understanding of certain critical statistical concepts for data analysis which include: Probability distribution functions (PDFs), Mean, Variance, Standard Deviation, Percentiles, Covariance, Correlation.
    4. Applied Machine Learning:

      1. Visualization: Data scientists should be familiar with using Matplotlib in Python as it is extensively used for data visualization and offers a lot of graphs and plots. In addition, the data scientist should also be comfortable plotting charts in spreadsheets.
      2. Machine Learning Algorithms: The data scientists should be comfortable using scikit learn, a machine learning library that provides almost all the machine learning algorithms. Further, the data scientist should be comfortable applying clustering, classification, regression, and dimensionality reduction algorithms and articulate what techniques to use based on the problem set.
  3. Skill in Communication :

    1. Synthesize insights into crisp narratives and present to senior leadership and also able to effectively communicate findings and evangelize data-driven business decisions
  4. Business Acumen/ Background knowledge of our Business:

    1. Understanding of our revenue model including various revenue streams, the nature of our subscription based business and segmentation within our K-12 Customers
    2. Understanding the different stages involved in a customer journey: Acquisition, Activation, Adoption and Advocacy
    3. Understanding different Solutions that we offer, our target audiences and the eligibility criteria for using our products.


Skills and Qualifications

  • Bachelor’s degree or higher with evidence of applied statistics and analysis, Master’s Degree preferred
  • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc.
  • Experience with common data science toolkits, such as R, Python, NumPy, MatLab, etc.
  • Experience with data visualisation tools, such as Microsoft PowerBI, Tableau, D3.js, GGplot, etc.
  • Proficiency in using query languages such as SQL
  • Good applied statistics skills, such as distributions, statistical testing, regression, etc.
  • Data-oriented personality with ability to communicate findings across diverse field of business stakeholders
  • Strong written and oral communication skills
  • Ability to work successfully as part of a team



Learning Ally is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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Hamdan Resources is hiring a Remote Data analyst - REMOTE

Job Description

 

 Our client is looking for a Part-time Data analyst.

 

Responsibilities

  • Work with executive and technical leads on the Pandemic Response Accountability Committee (PRAC)’s Data Analytics initiatives.
  • Collaborate as part of any project team - large or small
  • Take on any task, and capable of clearly communicating with their customer's, management and other key stakeholders in both technical and high-level terms
  • Proven ability to document, promote and present your work to other teams and to customers
  • Collaborate across internal practices and with other team members
  • Work within an organized and structured delivery-centric team
  • Translate customer requirements into tasks
  • Demonstrated ability to manage multiple priorities and deadlines
  • Ability to work independently or as part of a team

 

Required Qualifications

  • 3+ years of experience
  • Experience with data cleaning and feature creation
  • Proficiency with Python
  • Proficiency with SQL
  • Experience with Data Visualization and PowerBI
  • Experience using Azure DevOps / Git Repos
  • Nice to have familiarity with Natural Language Processing and DataBricks
  • Ability to present results in documents and briefings
  • Experience working on teams operating under an Agile Scrum delivery methodology using JIRA

Clearance

  • Must be a U.S citizen

Hamdan Resources, LLC is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer (EEO/AA), making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. U.S. Citizenship and/or authorization to work within the U.S.is required for most positions.

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Brilliant Earth is hiring a Remote Digital Analyst, Insights & Analytics

Digital Analyst, Insights & Analytics – Brilliant Earth 

Position Overview: 

The Digital Analyst will report to the Associate Director of Insights & Analytics and will contribute to the continued growth of ecommerce through articulating trends and making actionable recommendations for optimization. This role will collaborate with cross-functional partners on the Marketing, Buying, Site Experience, and FP&A teams and will play a key role in making data-informed decisions. 

Responsibilities: 

  • Monitor key site metrics and identify trends, issues, and opportunities to improve the user experience and improve conversion rate.  Support reporting at weekly, monthly, quarterly cadences. 
  • Collaborate closely with UX testing stakeholders to generate hypotheses, develop analytics requirements and create and execute measurement plans; ensure that reporting answers the question(s) posed by the hypotheses. 
  • Collaborate with cross-functional teams including marketing, merchandising, and site teams to provide analytics support; guide end-users in identifying key performance indicators for their areas and assist with designing reporting.  
  • Effectively respond to ad-hoc report and analysis requests from cross-functional teams. 
  • Ensure proper tagging and reporting of digital data and new site features.  
  • Validate data integrity and troubleshoot any data related/tagging issues. 

Requirements:  

  • 3-5 years experience in web analytics 
  • Experience with Google Analytics, Adobe Omniture, or similar analytics tool 
  • Familiarity with tagging tools such as Google Tag Manager 
  • Experience with site event tagging and UAT 
  • Proficiency in Microsoft Office suite, particularly Excel and PPT 
  • Experience with data visualization tool such as Tableau or Domo a plus 
  • Experience with A/B testing tools like Google Optimize or VWO a plus 
  • Experience with Contentsquare a plus 
  • Excellent communication and presentation skills 
  • Bachelor’s Degree or equivalent work experience 

What We Offer  

At Brilliant Earth, we’re passionate about the employee experience. That’s why we offer an excellent training program and endless opportunities for career growth! In addition, we offer competitive salaries and a robust benefits package, including:    

  • Equity Compensation. You will play an important role in the growth and success of the company. RSU awards allow us all to share in these successes.  
  • Insurance. Medical, dental, and vision insurance kick in on the first day of your 2nd month!   
  • 401k match. We know that saving for the future is important. That's why we offer a generous 401k match.   
  • Paid Time Off. We know it’s important to recharge and relax.  
  • Disability and Life insurance. 100% employer-paid.   
  • Pre-Tax Commuter Benefits.   
  • Continued Education. Company-sponsored learning in leadership, professional skills, diversity & inclusion, and access to tuition reimbursement for role-specific trainings.    
  • Employee Discounts. As an employee at Brilliant Earth, you’ll receive a generous discount on our jewelry.   
  • Wellness Benefits. We offer access to exclusive discounts on gym memberships and more, as well as an Employee Assistance Program for 24/7 access to counseling.   
  • Giving Back and Volunteer Opportunities. In addition to our giving back programs, our teams support local initiatives and spend time together by volunteering.    

The targeted budget for this position is $65-80k. This compensation budget range may be adjusted at any time at the discretion of the company.  

More About Us  

Brilliant Earth is one of the fastest growing e-commerce jewelers in the world, and a global leader in ethically sourced fine jewelry. Founded in 2005, we have been featured in Time, The Knot, Forbes, and Refinery29, among many other media outlets. We are a group of dedicated team members with a common goal of creating a more sustainable, transparent, and compassionate jewelry industry. We are searching for bright and passionate people who are excited to make an impact from day one and grow with the company to take on greater responsibility over time. We are hard-working team players that welcome challenges and rise to any occasion. Our community of collaboration, respect and encouragement is fostered by frequent team events, cross-departmental meetings and celebrating our wins, big and small. Brilliant Earth team members bring a top-notch attitude and a willingness to help each other grow.  

Brilliant Earth recognizes the value of diversity and inclusion on our team, as we work together to reinvent fine jewelry in a thoughtful and modern way. At Brilliant Earth, we celebrate each other – our successes, the lessons along the way, and the unique perspectives each individual brings to our team. It is our intent to maintain a work environment and hiring process which is free of harassment or discrimination because of sex, race, religion, color, national origin, physical or mental disability, genetic information, marital status, age, sexual orientation, gender identity, military service, veteran status, or any other status protected by Federal, State or local laws. We are committed to complying with all Federal, State and local laws providing Equal Employment Opportunities, and all other employment laws and regulations.  

How to Apply & What to Expect:   

Everyone at Brilliant Earth has a voice – we want to hear yours! If you are interested in growing with Brilliant Earth, send us a resume and cover letter letting us know why you are interested in joining our mission and our team. Please include a sentence about your favorite shape of diamond.  

You’ll receive an email when we’ve received your application, and can expect an update within a week of applying. The interview process for this role includes a phone call with the recruiting team and video interviews with our leaders!  

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9d

Data Analyst

TeeturtleRemote job, Remote

Teeturtle is hiring a Remote Data Analyst

We're TeeTurtle, a bustling e-commerce/consumer products company that creates nerdy apparel, toys, games, and accessories. We are looking for a talented Data Analyst to gather, analyze and present data reflecting the metrics and performance of our online, convention, wholesale, and Amazon sales channels. This role is a full-time, exempt position and reports to the Chief Revenue Officer. This role has no supervisory responsibilities.


The ideal candidate for this role has strong technical and analytical skills and can present actionable insights to inform sales strategies and performance. They understand the unique attributes of each sales channel and are able to present varied data in a cohesive and meaningful format.


Job Responsibilities:

  • Collect, analyze, and report all relevant sales data from each separate sales channel to ensure leadership can make well-informed decisions;

  • Own annual and quarterly sales projection process from start to finish to reduce overstock/OOS percentages of on hand inventory;

  • Carefully monitor and recommend adjustments to daily e-commerce advertising budgets based on analysis of key performance metrics;

  • Create and maintain dashboards, data visualizations, and other reporting tools to substantiate performance results for each sales channel;

  • Provide on-hand inventory levels and sell-through rates to the Chief Revenue Officer to ensure appropriate recommendations are made regarding current performance and future promotions by sales channel;

  • Track and monitor KPIs for each sales channel to reflect current business trends in a timely manner;

  • Proactively communicate findings to maximize sales potential;

  • Proactively utilize analytical insights to alert the sales leadership team of areas to improve sales processes or performance;

  • Other duties and projects as assigned.

GoHealth Urgent Care is hiring a Remote Geographic Information Systems Analyst

Description

Position at GoHealth Urgent Care

JOB SUMMARY

At GoHealth Urgent Care, we place the needs of our patients first - by providing an effortless patient experience, a welcoming culture of care and seamless integration with market-leading health systems and our communities.

As an integral member of our team, the Senior Geographic Information Systems Analyst is responsible for the design, development, implementation, and support of mission-critical enterprise GIS maps and reports using both ArcGIS and Tableau. Working with cross-functional teams, you will participate to gather and document reporting requirements to meet business needs. Using your skills and experience as a GIS Analyst, you will then use those requirements to design, create, and produce standardized maps and reports in ArcGIS and Tableau. You will also create ad hoc maps and reports on an as needed basis. 

Education

 BA/BS in a relevant field or equivalent combination of experience, education and training required
 Masters in a relevant field preferred

Work Experience

 4-6 years experience developing and implementing enterprise-scale maps on a recurring and ad hoc basis required
 4-6 years relevant work experience with ArcGIS and ArcGIS Pro required
 4-6 years experience programming in Python required
 1-2 years experience with SQL preferred
 1-2 years experience developing dashboards in Tableau preferred
 1-2 years experience in retail or healthcare preferred

Required Licenses/Certifications

 ArcGIS certifications required
 Tableau Desktop Certified Associate preferred
 SQL certification preferred

Additional Knowledge, Skills and Abilities Required

• Python programming / scripting experience
• Excellent interpersonal (verbal and written) communication skills are required to support working in project environments that includes internal, external and customer teams
• Strong analytical skills and intuition, capable of making decisions based on analysis and experience
• Ability to work both in a team and independently when required
• Ability to communicate clearly and often regarding project progress, challenges, and/or issues
• Ability to manage multiple priorities, and assess and adjust quickly to changing priorities
Core Competencies:
• Collaboration: Takes ownership for collectively establishing productive partnerships and relationships and seek to gain joint understanding of priorities and objectives so that the greater good of the organization and those we serve is always at the forefront.
• Innovation: Consistently uses good judgment, applying creativity to overcome obstacles and increasing effectiveness and efficiency though process and other forms of innovation.
• Diversity and Inclusion: Fosters diversity and inclusion, to be able to better understand team members, our customers and partners. Engages the strengths and talents of each GoHealth team member, creating an environment of involvement, respect and connection where the richness of ideas, backgrounds and perspectives are harnessed.
• Integrity: Models and practices the highest ethical and professional standards; demonstrates pride and personal interest in our patients, partners and fellow team members, deeply engaging in the business. Makes decisions, with a focus on doing the right thing; treats team members, our customers, partners and vendors with dignity, consideration, open-mindedness and respect.
• Accountability: Always shows initiative, demonstrates a bias to action and gets things done. Actively accepts responsibility for diverse roles, obligations and actions that positively influence patient and customer outcomes, our partnerships and the healthcare needs of our communities.
(Prioritized) Functional Competencies: to be selected and prioritized by the hiring manager for each position

ESSENTIAL FUNCTIONS 

• Work with all relevant stakeholders to gather business requirements for maps and reports
• Translate business requirements into specifications that will be used to create required maps and reports
• Interface with the Data Team to scope data requirements from the data warehouse
• Create required maps and reports from specifications leveraging best practices in GIS
• Ensure the integrity of the map or report by maintaining proper version control and removing obsolete maps and reports
• Provide support as required to ensure the availability and performance of existing and maps and reports for both external and internal users
• Ensure proper configuration management and change controls are implemented for all maps and reports
• Provide technical assistance and cross training to other team members
• Design training curriculum to educate end-users on all maps and reports relevant to their role
• Deliver web-based and on-site training to end-users
• Design and implement technological best practices, guidelines and repeatable processes
• Must be able to perform duties with moderate to low supervision
• Other duties as assigned








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DeepL sucht Mitarbeiter is hiring a Remote Commercial Data Analyst (f/m/d)

is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.

Our goal is to overcome language barriers and bring cultures closer together.


What distinguishes us from other companies?

DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.

When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.


Your Choice

We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or London: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.


What will you be doing at DeepL?

You will be part of the highly motivated team that runs DeepL's analytics platform. Our growing team is a cross-functional mix of Engineers, Data Analysts, and Data Scientists working towards our common goal of leveraging our user data. Your job is to create value from the vast amount of data that we gather from our more than 100 million users. You will turn this data into insights via predictive modeling and performance analyses in order to move key business metrics. By doing so, you will make a significant impact on building the best possible translation experience and overcome language barriers.

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DeepL sucht Mitarbeiter is hiring a Remote Data Analyst Product Insights (f/m/d)

is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.

Our goal is to overcome language barriers and bring cultures closer together.


What distinguishes us from other companies?

DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.

When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.


Your Choice

We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or London: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.


What will you be doing at DeepL?

You will be part of the highly motivated team that runs DeepL's analytics platform. Our growing team is a cross-functional mix of Engineers, Data Analysts, and Data Scientists working towards our common goal of leveraging our user data. Your job is to create value from the vast amount of data that we gather from our more than 100 million users. You will turn this data into insights via predictive modeling and performance analyses in order to move key business metrics. By doing so, you will make a significant impact on building the best possible translation experience and overcome language barriers.

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doxy.me is hiring a Remote Data Analyst

 

Data Analyst

 

Who You Are 

We are looking for an experienced and passionate Data Analyst to join our team! As a Data Analyst at doxy.me, you will be responsible for maintaining and developing our product data strategy to assist with our product development initiatives. You are an analytical self starter who understands data and product development. You are not afraid to learn new tools and technologies as required by the changing landscape. You will work with the Product team to help manage and develop our product strategies, to drive growth, and maximize visibility and user acquisition.

 

Your Skills: 

  • Analyze data using statistical methods
  • Create reports to share findings and recommendations with the internal team and other stakeholders
  • Collaborate with leaders and managers to determine and address data and reporting needs for various company projects
  • Create statistical models that depict company-wide trends
  • Perform testing and validation of data sets
  • Document structures and types of business data
  • Present progress reports and integrate feedback.
  • Proficiency in SQL, Python and other statistical analysis tools
  • Experience of using BI tools like Tableau, Power BI, Domo (Tableau preferred)
  • Knowledge of Cloud based data warehousing tools, Snowflake preferred.
  • Ability to explain data analysis findings and insight to non-technical audiences.
  • Exceptional collaboration and communication skills.
  • Advanced analytical and problem-solving skills.

 

Your Qualifications:

  • Bachelor's degree in Economics, Business and other analytical major
  •  3+ years experience.

 

Who We Are:

At Doxy.me, we’re on a mission to connect the world to the future of healthcare. With the trust of over 700,000 providers we are one of the largest Telehealth platforms in the world - but we’re not done there. Blending innovative technology and world-class design, we can enhance the patient-provider experience and extend the reach of healthcare to every corner of the globe. Our team is motivated by making a difference in the world and pushing the boundaries of what is possible. If you want to change the world by impacting the lives of millions while having fun with a great team, come join us!
 

Our Culture:

 

AuthenticWe are sincere and care personally. We don't let egos get in the way, getting to the right answer is more important than being right. We focus on doing the right thing, we are the type of person who always takes the shopping cart back. 

Bright  We use our innate intelligence, talent, and curiosity to create simple, innovative, world-class solutions to problems. We are constantly seeking to increase our own brightness through self-improvement and combining our brightness with others.

 

EffectiveWe are hungry self-starters who will get the job done regardless of circumstances. We don't need to be managed or told what to do. We are reliable and pride ourselves in producing high-quality, world-class results on time.

 

Benefits

We are committed to giving you the tools you need to do your best work. We will take care of the little things so you can do what you do best without having to worry about all of that other stuff. Here is a taste of what you can expect: 

  • A fun, flexible work environment (work from home or on location at one of our regional hubs)
  • Competitive Salary
  • Paid trainings and certifications
  • Advancement opportunities in a growing company, 
  • Medical, Vision, and Dental insurance
  • 401k match
  • Unlimited PTO

 

Our employees give us a4.9 on Glassdoor.


 

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Tech9 is hiring a Remote Data Scientist

We are growing quickly at Tech9 and are looking for a world-class Data Scientist who will not only be a scientist but an engineer as well! This is a great opportunity to work for one of the best places to work for in India. At Tech9, we want to help you find success in your career. If you thrive on learning and are motivated by growth, then Tech9 is the place for you! 

If you are looking for a change this is what we can promise you:

  • You will have challenging problems to solve 
  • You will have flexibility and autonomy to solve problems and deliver solutions
  • We will provide a highly collaborative environment with skilled and super friendly teammates
  • We will fully support you in developing software the right way 
  • We won't burden you with useless policies and procedures
  • We will provide you the tools you need to do your job right

If this sounds attractive please apply! We'd love to talk to you. 

Core Job Responsibilities

  • Solve business and customer issues utilizing AI/ML
  • Build prototypes and scalable AI/ML solutions that will be integrated into software products
  • Build end-to-end pipelines using Python frameworks like Django and/or Flask
  • Collaborate with software engineers, business stakeholders and product owners in an Agile environment
  • Have complete ownership of model outcomes and drive continuous improvement

Minimum Requirements

  • 30-day notice period; if you have a buyout option, we can pay the buyout.
  • Candidate must be in India 
  • 2-3 years’ experience working on projects related to Natural Language Processing and Deep Learning
  • Demonstrated hands-on experience with Python frameworks such as Flask and Django
  • Excellent hands-on experience creating end-to-end pipelines
  • Hands-on experience with Docker
  • Hands-on experience with GCP and AWS
  • Machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression etc. on large datasets) with experience in ML model deployment
  • Strong communication and ability to work well on a team 
  • Demonstrated ability to work in a fast-paced, rapidly-changing environment 

Benefits

  • Full health insurance for you and your immediate family
  • Learning and development stipend
  • 21 days of paid leave not including holidays
  • Compensation: 15-20 LPA plus 10% variable depending on years of experience and skillset
  • An excellent work-life balance
  • Laptop reimbursement program of up to 26,00,000 INR (paid out over 24 months)
  • Cloud certification reimbursement (Online course and Test)

#LI-Remote

#LI-JS1

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Protecht is hiring a Remote Analytics Manager

Job Description:

We are looking for smart, analytical people with a unique blend of technical aptitude and the polish required to partner with the business and deliver accurate and meaningful insights. The key quality we are looking for is adaptability – we’re seeking those who have a desire and passion for learning new technologies and the acumen to ramp up new tools quickly.

 

Responsibilities:

  • Collaborate on the development and execution of reporting and analytics solutions across a focused area of the business value stream to enable data driven business decisions that will drive performance and accomplish annual goals
  • Translate sophisticated business problem statements into analysis requirements, and work with internal customers to define data product details based on expressed partner needs
  • Document systems/analytics solutions to the business, translating complex functionality into business relevant language
  • Independently support end-to-end analysis to inform product strategy, data architecture, and reporting decisions
  • Drive the solving of sophisticated data problems using analytical and statistical rigor
  • Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs
  • Develop DOMO based dashboards to be used in decision making
  • Thoroughly document business requirements, data architecture solutions, business processes and training material for business and technical audiences
  • Develop frameworks for repeatable validation of data integrity within back-end data assets and data products, supporting accurate and consistent results
  • Discuss the data products with end users through user training to help drive adoption
  • Monitor and solve operational or data issues in the data pipelines

Requirements:

  • Bachelor's degree in Business, Finance, Economics, Marketing, Computer Science or a combination of relevant education, experience, and training
  • 2+ years of experience managing a small analytics team
  • 4+ years of relevant work experience in reporting and analytics
  • Experience working directly with business partners to form a deep understanding of their business needs and partnering cross-functionally to develop solutions for broad use
  • Experience with all steps of the analytic process from requirements gathering, solution design, QA, debugging, and documentation. Experience in data profiling, data quality, and root cause analysis
  • Experience translating business objectives and questions into data architecture, critical metrics, and reporting requirements
  • Prior experience with data architecture, defining and maintaining data assets, and developing data architecture strategies to support reporting and data visualization tools
  • Ability to communicate analysis results and subsequent impact to technical/non-technical audiences in both verbal and written form
  • Prior data visualization experience in DOMO, Tableau, PowerBI or similar applications
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well, as working familiarity with a variety of databases
  • Proficiency with cloud environments such as Snowflake, Microsoft Azure, Google Cloud, and AWS
  • Working understanding of Agile methodologies and principles such as Scrum, LEAN, Kanban, and how they’re applied in workplace

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Param Solutions is hiring a Remote Python Developer/Data Scientist

Clearance Requirement:Must be US Citizen and should be able to obtain a clearance.

Our client is looking for a hands-on Python Developer/Data Scientist. As a Python Developer, you will assist in developing open source solutions, participate in a data analytics project. The role operates in an Agile / Scrum environment and requires a solid understanding of the full software lifecycle.

Must Haves:

  • A Bachelor of Science (BS) degree in related field or equivalent work experience can be substituted instead of a degree.
  • 7+ years of Hands-on Python Development, with an emphasis in ETL Development
  • 7+ years of SQL experience, with emphasis in Data Analysis
  • Databricks
  • Python (and/or other languages for data manipulation and analysis)
  • Jenkins
  • Machine learning
  • Git/GitHub
  • AWS
  • Analytical approach to problem-solving; ability to use technology to solve business problems
  • Passionate, self-driven problem-solvers who love taking on new challenges using the latest data and cloud technologies.
  • Must be Multi-faceted with a great mix of technical and interpersonal skills, to succeed in highly collaborative and agile work environments.
  • Good communications skills in both writing and verbal.
  • Must be a US citizen, candidates will have an extensive background check for specific suitability for a public trust clearance with federal agencies.

Nice to Have:

  • Familiarity with Impala
  • Familiarity with Tableau
  • Familiarity with Java.

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15d

UX Researcher

ProtonMailVilnius, Prague, Barcelona, Paris;, Lithuania, Remote
DesignmetalUX

ProtonMail is hiring a Remote UX Researcher


A better internet is possible, one that empowers people to choose how their personal information is used. This might seem daunting, or even impossible, but at Proton, building this better internet is what we do every day.
ProtonMail was founded in 2014 by a group of scientists who met at the European Organization for Nuclear Research (CERN). Our first product, ProtonMail, is now the world’s largest encrypted email service. Subsequent Proton products, such as ProtonVPN, Proton Calendar, and Proton Drive, use end-to-end encryption that gives our users full control over how and with whom their data is shared.
Today, Proton is making privacy universally accessible to more than 50 million registered users, including journalists, some of the world’s largest organizations, and people in more than 180 countries. Our diverse and dynamic team is made up of more than 400 members representing over 30 different nationalities. While we are based in Geneva, Switzerland, we have offices in Zurich, Prague, London, Vilnius, Skopje, Taipei, and many more employees working remotely around the world.
New York Times journalists, some of the world’s largest corporations, and millions of ordinary citizens use our products so they can choose who, if anyone, sees their information. Join us at one of Europe’s fastest-growing companies to help us solve challenging problems and build new products that will reach hundreds of millions of people. We want to create more than just one of the world’s most impactful tech companies, we want to create a new internet that serves the interests of all people. We need you, your voice, your ideas, and your ambition to make it happen.


Purpose of the role

As we are rapidly growing, we are now in search of a sharp and mission-driven UX Researcher to join our growing designteam. You will help us build the foundation of our future product suite and have a chance of shaping the design function in the company. If you enjoy challenging work in a mission and value-driven environment, this role is for you!


What you will do

  • Contribute to building a UX Research function by bringing best practices and collaborating with others
  • Be a hands-on contributor by applying a variety ofquantitative and qualitativemethods
  • Translate insights into actionable productrecommendations
  • Validate design solutions to ensure we’re solving users needs as we evolve our products
  • Collaborate with design, product, marketing, analytics teams toinfluence product design and innovation
  • Be an advocate at Proton for user-centered design

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Acid Labs is hiring a Remote Head of Data

Acid Labs es una firma de diseño y desarrollo de software end to end. Ejecutamos un proceso ágil estandarizado pero flexible, centrado en la calidad y la comunicación. Nos centramos en la creación de productos web y móviles increíbles, hemos estado involucrados en el desarrollo web y móvil desde 2006, convirtiéndonos en socios sólidos para nuestros clientes . Nos especializamos en crear nuevos productos a partir de un proceso UX / UI, desarrollando proyectos desde cero y también sobre proyectos ya creados, trabajando solo o como equipo para mejorias. Somos expertos en software de venta minorista, comercio electrónico a medida y empresarial, aprovechamos las configuraciones de CRM y escalamos las ventas a través del diseño y la tecnología.

¡Nos encontramos en búsqueda de un Head of Data!

Objetivo del puesto

La principal misión de Head of Data es coordinar la ejecución de proyectos relacionados al área. De la misma forma, el profesional debe apoyar a cada uno de los profesionales y poder asesorar a los clientes y potenciales clientes para garantizar una mejor toma de decisiones. 

Responsabilidades

  • Definir metodologías necesarias para llevar a cabo sesiones dirigidas de trabajo con el equipo, clientes y otrosstakeholders
  • Conversar frecuentemente con cada uno de los equipos profesionales asignados en las distintas cuentas en las distintas especialidades del área 
  • Apoyar a los distintos expertos del equipo mediante un plan de capacitación o de apoyo en la medida que se necesite
  • Mantener una relación cercana con los clientes para conocer sus necesidades así como de sus intenciones a futuro (roadmap
  • Simplificar un proceso de inducción de capacidades, herramientas y metodologías para los demás equipos y profesionales del área así como también al área comercial.
  • Apoyar al equipo comercial en la generación de acercamientos comerciales con nuevos clientes y la captura de la información relevante de dichas conversaciones
  • Buscar mejoras para los procesos internos del área 
  • Validar las propuestas desde la perspectiva técnica del área
  • Construcción del plan de crecimiento de los perfiles
  • Apoyar en la evaluación de profesionales del área
     

Conocimientos

  • Experiencia en proyectos relacionados a data.Más de 3 años liderando equipos que manejan altos volúmenes de datos. 
  • Conocimientos de tecnologías y herramientas para el manejo de datos. 
  • Conocimientos de manejo de infraestructura y servicios cloud.
  • Entendimiento de las diferencias entre los distintos roles relacionados al área. Entendimiento de las diferencias entre cada uno de ellos para agilizar la captura de habilidades necesarias para cumplir con tareas. 
  • Técnicas de facilitación grupal
  • Conocimiento experto en el ciclo de desarrollo de productos ágiles

Los beneficios empresariales dependerán del lugar de LATAM donde te encuentres!

 

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16d

Data Scientist

Ascend InnovationsCincinnati, OH Remote
DesignUXpython

Ascend Innovations is hiring a Remote Data Scientist

Data Scientist – Machine Learning

Overview

Ascend Innovations is looking for a Data Scientist to join our growing team and join our Machine Learning focused Data Science team at Ascend. We’re a scrappy team of account/project managers, engineers, data scientists and UX-ers, and we need someone who is skilled at machine learning development and deployment. You’ll be joining a growing team of Data Scientists and Analysts at Ascend – so you’ll have an opportunity to make a significant impact on our capability and growing Data Science strategy.

As a Data Scientist, you’ll support data driven products, projects, and services that enable community health organizations to better serve the most vulnerable populations. We work with clients ranging from recovery boards to hospice organizations, to grass root community health programs focused on important initiatives such as reducing infant mortality and the impact of mental health & substance use disorder in our communities.

???? About Ascend

Ascend Innovations is a socially impactful technology company that provides data-driven products and consulting services to help organizations solve complex community health problems. We desire to empower all communities to improve health and wellness with human-centered technology. Owned by the three hospital networks in Dayton, Ascend is uniquely positioned to build solutions around mental health and addiction, chronic disease, social determinants of health, and other core focus areas related to community health. Ascend’s long-term strategy is to build data-driven technologies for communities while in parallel identifying scalable opportunities to transition products and produce spinout companies through Ascend’s startup studio, Ascend Ventures.

️ What We Value

Our team culture is rooted in the values of drive, perseverance, trust, accountability, and community.

  • We aspire to be better
  • We grow through challenge
  • We are open and honest
  • We have each other's back
  • We are better together

️ Perks

  • ???? Unlimited PTO
  • ???? 3 months fully paid parental leave
  • ???? Work Remotely

???? WhoYou Are

  • You are a machine learning expert and are driven to use that ability to solve complex community problems.
  • You are fueled by collaboration and excited to learn new technical skills/techniques
  • You have an innate drive to apply data science to meaningful work that makes an impact in our communities.
  • You have an ability to translate analytic results into intuitive insight and recommendations
  • You have a bachelor’s degree in a quantitative field (Mathematics, Computer Science, Economics, Statistics), or a field related to healthcare or public health. Or you have experience with a proven record of accomplishment of analytical skills that can be substituted for degree requirements.
  • You have 3+ years of experience in a data science role, with experience training and deploying machine learning models. You could have additional experience with data engineering, or software engineering, but not required.
  • You are proficient in open-source programming languages (R, Python, etc.), with the use of data-related Python or R packages (NumPy, pandas, scikit-learn, Matplotlib, SciPy, TidyVerse, Dplyr, etc.)

☀️ As a Data Scientist, on a given day you will:

  • Clean, restructure, and manipulate data into a useable format for analysis
  • Design, prototype, and refine production ready, predictive algorithms or models
  • Work with stakeholders including the Executive, Product, Data and UX teams to solve data-related technical issues and support their data science needs.
  • Support requirements gathering, discovery, or strategic consulting scenarios.
  • Supply project updates on a consistent basis to various stakeholders.
  • Work with stakeholders to help define project scope and clarify project requirements.

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Simpletire is hiring a Remote Manager, eCommerce, Data Analytics

Manager, eCommerce, Data Analytics

 

What is SimpleTire?

We think there’s a better way when it comes to getting work done on your car. Starting with tire replacement. A way that’s more welcome, that’s more you. That gets you to what you need, more quickly. Helps you feel smart about your choices, and gets you on your way, feeling good. A way better experience for tire replacement. That's our way. That’s our promise.Our network stretches across the country with 10,000+ installers and 3,000+ independent supply points. We employ hundreds of people, support thousands of local businesses, and strive to empower everyone along the process.   

To learn more about SimpleTire, visit https://simpletire.com/about

Position Overview

TheManager, eCommerce Data Analyticsreports directly to the Head of Business Intelligence and Analytics and plays a critical role in influencing the SimpleTire operating strategy with a focus on better serving SimpleTire’s customers. This individual will have a proven track record in performing complex analysis and  leveraging analytical insights to influence strategic initiatives and delivering business-critical reporting to business leadership.  

 Specifically, the Manager, eCommerce Data Analytics will be responsible for providing data, analysis and insights to support DTC  strategy development and data-driven business decisions.

Job responsibilities:

  • Performs complex  web analytics analysis and reporting across the DtC Channel
  • Creates actionable daily/weekly reporting to identify emerging trends and deliver insights on site performance including overall DtC KPIs, A/B Testing, and Personalization results
  • Leads projects within site analytics to effectively communicate impacts to performance for site enhancements
  • Performs actionable analysis on clickstream data to support optimizing page effectiveness, journey optimization, product, and content placement optimization, site friction points, traffic, and conversion metrics
  • Analyzes customer data from Snowflake utilizing SQL to join, aggregate, and filter to effectively display results and identify opportunities for optimization
  • Designs and builds user-friendly dashboards with high adoption rates. Regardless of the tool or approach, keep user experience in mind, creating visually engaging and relatively frictionless data environments.
  • Develops models to uncover opportunities associated with site optimization, customer journey, and personalization to maximize customer lifetime value
  • Drives A/B testing -- including test development and post-experiment analysis
  • Proactively identifies business opportunities to innovate and drive results
  • Provides thought leadership and establish best practices to eCommerce teams outside of the Analytics Center of Excellence

Will perform miscellaneous job-related tasks as assigned.

Qualifications

Minimum Job Requirements 

  • Bachelor’s Degree in Data Analytics or related field
  • 3+ years of hands-on experience in Business Analytics with strong experience in statistical techniques and their application in solving business questions
  • 3+ years of experience in DTC/Ecommerce analytics
  • Advanced understanding of site, customer, and performance marketing KPIs
  • 3+ years related experience in qualitative/quantitative analysis, reporting, ad hoc analysis
  • 3+ years of experience in SQL and/or Python
  • 3+ years of experience with data visualization tools such as Power BI/Tableau

Knowledge, Skills and Abilities Required

  • Experience with A/B, Multivariate testing and personalization is required
  • Experience with GA360, Snowplow Analytics, or Adobe Analytics is required
  • Basic understanding of Google Tag Manager
  • Experience working with disparate data sets, data mining, data/text, visualization tools, and creation of dashboards
  • Excellent communication skills (written & verbal)
  • Works independently and makes decisions with risk-mitigation considerations
  • Collaborates well with others

Working Conditions and Physical Effort

  • Ability to sit for long periods of time.
  • Continuous computer screen viewing and typing

 

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16d

Data Analyst - Tech Support

RTB HouseRemote, Warsaw, Poland
sqlgitpostgresqllinuxjenkinspython

RTB House is hiring a Remote Data Analyst - Tech Support

Description

Zadania:

  • generowanie raportów z baz danych;
  • obróbka danych w CSV/XLS(X)/JSON;
  • przygotowanie analiz technicznych;
  • praca nad tworzeniem i rozwojem narzędzi na potrzeby automatyzacji codziennych zadań;
  • przygotowanie dokumentacji;
  • wsparcie zespołu Technical Account Managerów.

Wymagania:

  • bardzo dobra znajomość SQL;
  • bardzo dobra znajomość Google Data Studio lub analogicznych narzędzi;
  • bardzo dobra znajomość Google Sheets lub analogicznych narzędzi;
  • dobra znajomość NodeJS lub Python;
  • dobra znajomość GIT;
  • dobra znajomość Linux;
  • komunikatywny angielski;
  • chęć do nauki i rozwoju.

Mile widziane:

  • znajomość BigQuery;
  • znajomość Google Analytics;
  • znajomość Jupyter Notebook;
  • znajomość ElasticSearch/Kibana;
  • znajomość Jenkins;
  • znajomość PostgreSQL;
  • doświadczenie w branży reklamowej.

Oferujemy:

  • udział w jednym z najciekawszych projektów branży online w Polsce;
  • atrakcyjne wynagrodzenie;
  • dofinansowanie do nauki języków oraz budżet szkoleniowy;
  • możliwość zdobycia doświadczenia w dziedzinie RTB - najszybciej i najlepiej rozwijającym się obszarze reklamy internetowej;
  • ciągły rozwój zawodowy oraz możliwość podnoszenia kwalifikacji;
  • przyjazną atmosferę pracy.

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DeepL sucht Mitarbeiter is hiring a Remote Commercial Data Scientist (f/m/d) - Amsterdam, London, Cologne or remote

is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.

Our goal is to overcome language barriers and bring cultures closer together.


What distinguishes us from other companies?

DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.

When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.


Your Choice

We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or London: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.


What will you be doing at DeepL?

You will be part of the highly motivated team that runs DeepL's analytics platform. Our growing team is a cross-functional mix of Engineers, Data Analysts, and Data Scientists working towards our common goal of leveraging our user data. Your job is to create value from the vast amount of data that we gather from our more than 100 million users. You will turn this data into insights via predictive modeling and performance analyses in order to move key business metrics. By doing so, you will make a significant impact on building the best possible translation experience and overcome language barriers.

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DeepL sucht Mitarbeiter is hiring a Remote Data Analyst Product Insights (f/m/d) - Amsterdam, London, Cologne or remote

is Germany's best-known AI company. We develop neural networks to help people work with language. With DeepL Translator, we have created the world's best machine translation system and made it available free of charge to everyone online. Over the next few years, we aim to make DeepL the world's leading language technology company.

Our goal is to overcome language barriers and bring cultures closer together.


What distinguishes us from other companies?

DeepL (formerly Linguee) was founded by developers and researchers. We focus on the development of new, exciting products, which is why we spend a lot of time actively researching the latest topics. We understand the challenges of developing new products and try to meet them with an agile and dynamic way of working. Our work culture is very open because we want our employees to feel comfortable. In our daily work we use modern technologies - not only to translate texts, but also to create the world's best dictionaries, and solve other language problems.

When we tell people about DeepL as an employer, reactions are overwhelmingly positive. Maybe it's because they have enjoyed our services, or maybe they just want to get on board with our quest to break down language barriers and facilitate communication.


Your Choice

We are constantly looking for outstanding employees! Currently we offer remote work in Germany, the Netherlands, the UK and Poland. Whether you would like to work from home in one of these countries or from one of our offices in Cologne or London: the choice is yours. No matter where you choose to work from, our way of working is designed to make you an essential part of the team.


What will you be doing at DeepL?

You will be part of the highly motivated team that runs DeepL's analytics platform. Our growing team is a cross-functional mix of Engineers, Data Analysts, and Data Scientists working towards our common goal of leveraging our user data. Your job is to create value from the vast amount of data that we gather from our more than 100 million users. You will turn this data into insights via predictive modeling and performance analyses in order to move key business metrics. By doing so, you will make a significant impact on building the best possible translation experience and overcome language barriers.

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