Position Summary:

The Data Analyst plays a critical role in driving data-centric initiatives within the organization, transforming raw data into valuable insights that inform key business strategies. This role involves analyzing complex datasets to uncover trends and patterns, providing actionable insights that help shape business decisions. The Data Analyst works closely with cross-functional teams, including Product and Engineering, to ensure data insights are effectively translated into strategies that improve operational efficiency and foster business growth.

Essential Functions:

• Product Analytics & Experimentation: Optimize decision-making processes across product lifecycle stages. Conduct rigorous A/B testing and experimentation to evaluate product features, user experiences, and pricing strategies. Analyze results to provide actionable insights that inform iterative improvements and drive conversion optimization. Additional focus areas include analyzing product performance metrics, customer segmentation strategies, and market trends to drive informed product development and enhancement strategies.
• Performance Monitoring:Design and maintain real-time dashboards that monitor key performance indicators (KPIs), conducting in-depth performance analyses to identify trends, anomalies, and areas for improvement. Provide recommendations to support both operational efficiency and strategic initiatives.
• Insight Generation: Leverage quantitative analysis and data storytelling to uncover actionable insights that drive business growth. By deeply understanding marketplace dynamics, customer behaviors, and emerging trends, you will empower business and product leaders to make data-driven decisions. Translate complex data into clear, compelling narratives that inspire innovation and continuous improvement.
• Cross-Functional Collaboration:Partner effectively with teams across Product Management, Engineering, Marketing, Sales, and other departments to prioritize and execute data-driven projects.

Job Specifications & Role Based Competencies - Knowledge, Skills and Abilites:

Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related technical field.

Experience: 2-4 years of experience in data analytics, business analytics, consulting, or related roles. Experience with cloud data platforms such as GBQ, Snowflake, or Redshift. Previous experience in a technical role at a top-tier professional services or leading technology company is preferred.

Role Based Competencies (Knowledge, Skills & Abilities): 

• Technical Skills: Proficiency in querying, analyzing, and visualizing large datasets using SQL, Python, R, and data visualization tools (e.g., Sigma, Tableau, PowerBI). Strong understanding of statistical techniques (e.g., Regression, A/B Testing, Causal Inference) and their application in business contexts.
• Communication: Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Problem-Solving: Strong analytical and problem-solving skills, capable of translating business requirements into actionable analytical solutions.
• Project Management: Demonstrated ability in project and task management, attention to detail, and the ability to work independently, as well as part of a team.

Working Relationships: This role involves close collaboration with Agero's Product Management team and key stakeholders from Marketing, Engineering, Customer Success, Business, and Finance departments. Additionally, the position requires active engagement with analysts and data scientists across the organization, fostering opportunities to enhance efficiency and cultivate shared technical knowledge and expertise.

Overview

About the Role

Our Paid Marketing team is looking for a highly analytical and fast-moving marketer to join our Performance Marketing Team. As a Marketing Manager 1, Paid Shopping, you will be responsible for helping grow the Paid Shopping (Product Listing Ads, PLA) program on key channels like Google and Microsoft. You will focus on analyzing accounts for opportunities to improve efficiency & scale, driving quantifiable results through account & feed optimizations, and reporting out on performance to senior leadership on a weekly basis. This is an incredible opportunity to make a significant contribution to the Marketing team at Instacart and to have a large impact on overarching company goals.

About the Team

Performance Marketing accelerates top line business growth by driving highly qualified traffic to Instacart properties via Paid, Owned and Organic channels, as efficiently as possible. We promote growth across each stage of our customer lifecycle by leveraging our earned channels (Email, Push, In-App, etc) as well as paid and digital channels (SEM, PLA, Paid Social, Connected TV, etc). 

About the Job 

• Manage Paid Shopping campaigns end-to-end, including but not limited to: campaign ideation & builds, budget allocation, ongoing bid optimizations, performance monitoring, and reporting.
• Find new opportunities to improve scale and efficiency; drive rigorous and iterative experimentation roadmaps across elements such as feeds, targeting, ad formats, bidding strategies, landing pages, etc. 
• Continually monitor feeds, making sure they are healthy at all times. 
• Work closely with Data Science, Marketing Analytics, and MarTech on measurement, attribution, incrementality testing, and identifying requirements for new capabilities.
• Collaborate with internal teams and external partners to understand and execute on marketplace trends & seasonal events.
• Effectively communicate channel performance and test learnings to the broader Marketing team and relevant stakeholders including senior leadership.
• Deliver against aggressive growth goals across a suite of metrics (CPA, ROI, ROAS, etc).

About You

Minimum Qualifications

• 5+ years marketing experience, with at least 1-2 years of hands-on experience with Shopping programs
• Experience working with product catalogs of over 10k+ SKUs and identifying high-impact feed optimization opportunities.
• A strong analytical mindset with deep knowledge of attribution systems & cross-channel attribution, AB testing, and incrementality.
• Proven track record of using qualitative and quantitative data to inform decisions and develop actionable insights for key business outcomes.
• Highly proficient in Excel/ Google Sheets
• Ability to thrive in a fast-paced and dynamic environment, putting creative problem solving skills to use.
• Strong communication skills and experience working in cross-functional teams
• Bachelor’s degree

Preferred Qualifications

• Prior experience working with large product catalogs (1M+ SKUs)
• Experience working in the on-demand economy and/or startup or high-growth company
• SQL experience

#LI-REMOTE

As an Associate Software Developer, you'll be part of the agile scrum team. They will assist in the design and development of software applications, RESTful APIs, Microservices, systems integrations, Website updates. Working with C# ASP.NET, HubSpot, Dynamics 365 and more.

We know that you can’t have great technology services without amazing people. At MetroStar, we are obsessedwithour people and have led a two-decade legacy of building the best and brightest teams. Because we know our future relies on our deep understanding and relentless focus on our people, we live by our mission: A passion for our people. Value for our customers.

If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below!

What you’ll do:

• Create functional and efficient code in C#
• Maintain best practices by creating/updating unit tests,
• Participate in code reviews
• Create/update documentation on applications.
• May be required to learn and develop in HubSpot including creating/updating forms, emails, workflows, and webhooks.

What you’ll need to succeed:

• Associate’s degree in information technology or related field.
• 0-3 years of relevant experience; 4-6 years of additional experience in lieu of degree.
• Ability to learn the common coding languages used within the AAFMAA environment.
• 0-3 years of hands-on experience in developing custom applications and integrations using .Net standard, .Net core frameworks, C#, MVC, Web API, aspx Web forms, and REST API.
• 0-3 years of experience in handling Microsoft SQL server databases using ADO.net, Entity.

Like we said, we arebig fans of our people. That’s why we offer a generous benefits package, professional growth, and valuable time to recharge. Learn more about our company culture codeand benefits. Plus, check out our accolades.

Don’t meet every single requirement? 

Studies have shown that women, people of color and the LGBTQ+ community are less likely to apply to jobs unless they meet every single qualification.  At MetroStar we are dedicated to building a diverse, inclusive, and authentic culture, so, if you’re excited about this role, but your previous experience doesn’t align perfectly with every qualification in the job description, we encourage you to go ahead and apply.  We pride ourselves on making great matches, and you may be the perfect match for this role or another one we have. Best of luck! – The MetroStar People & Culture Team

What we want you to know:

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

MetroStar Systems is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The statements herein are intended to describe the general nature and level of work being performed by employees and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of MetroStar Systems.

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At Webflow, our mission is to bring development superpowers to everyone. Webflow is a Website Experience Platform (WXP) that empowers modern marketing teams to visually build, manage, and optimize stunning websites. With AI-driven personalization baked in, Webflow enables teams to significantly boost conversion rates, translating directly into measurable business growth. From independent designers and creative agencies to Fortune 500 companies, millions worldwide use Webflow to be more nimble, creative, and collaborative.

We’re looking for a Senior GTM Data Analyst to drive the analyses of both our PLG and sales businesses to support our top-line financial forecast, as well as provide meaningful and actionable insights to our Go-to-Market (GTM) teams. This role will sit under finance and will partner across the company, with key cross-functional partners sitting in the data & insights, sales, growth marketing, pricing & packaging, and partnerships orgs. This position has the opportunity to make a significant impact on business performance and company trajectory through data.

We are looking for an empathetic, humble, curious, and collaborative team member who is excited to provide meaningful, actionable insights to teams at Webflow while helping to shape our foundational data capabilities.

About the role 

• Location: Remote-first (United States; BC & ON, Canada)
• Full-time
• Permanent 
• Exempt
• The cash compensation for this role is tailored to align with the cost of labor in different geographic markets. We've structured the base pay ranges for this role into zones for our geographic markets, and the specific base pay within the range will be determined by the candidate’s geographic location, job-related experience, knowledge, qualifications, and skills.
• United States  (all figures cited below are in USD and pertain to workers in the United States)
• Zone A: $121,000 - $164,000
• Zone B: $114,000 - $154,000
• Zone C: $107,000 - $144,500

Please visit our Careers page for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.

• Reporting to the Director of Finance, GTM

As a Senior Data Analyst you’ll … 

• Analyze and transform complex datasets to generate actionable GTM insights through queries and advanced analytical tools
• Develop predictive models to assess potential revenue outcomes of GTM initiatives, supporting strategic planning and budgeting
• Utilize a range of data and visualization tools such as Snowflake, dbt, Fivetran, Tableau, Python, and R to create, automate, and visualize insights
• Partner with cross-functional stakeholders to perform root cause analysis that will lead to actionable insights that inform strategic decisions.

About you 

You’ll thrive as a Senior GTM Data Analyst if you:

• Have 4+ years of experience working in data analytics (or other relevant focus), providing high quality, reproducible analysis, with a strong grasp of SaaS and product-led growth (PLG) business metrics
• Have proficiency in SQL for large data manipulation, integrating multiple data sources, and creating data visualizations using tools like Tableau, Snowsight, or Hex; experience with Python or R is a plus
• Have exceptional analytical skills to interpret trends and provide actionable recommendations that influence business strategy
• Are a proven collaborator and self-starter with a track record of empowering business stakeholders through diagnostic and descriptive analysis for data-driven decision-making
• Have excellent communication skills for presenting insights to both technical and non-technical audiences, and ability to thrive in a fast-paced, complex environment

Our Core Behaviors:

• Obsess over customer experience. We deeply understand what we’re building and who we’re building for and serving. We define the leading edge of what’s possible in our industry and deliver the future for our customers
• Move with heartfelt urgency. We have a healthy relationship with impatience, channeling it thoughtfully to show up better and faster for our customers and for each other. Time is the most limited thing we have, and we make the most of every moment
• Say the hard thing with care. Our best work often comes from intelligent debate, critique, and even difficult conversations. We speak our minds and don’t sugarcoat things — and we do so with respect, maturity, and care
• Make your mark. We seek out new and unique ways to create meaningful impact, and we champion the same from our colleagues. We work as a team to get the job done, and we go out of our way to celebrate and reward those going above and beyond for our customers and our teammates

Benefits & wellness

• Equity ownership (RSUs) in a growing, privately-owned company.
• 100% employer-paid healthcare, vision, and dental insurance coverage for employees and dependents (full-time employees working 30+ hours per week), as well as Health Savings Account/Health Reimbursement Account, dependent care Flexible Spending Account (US only), dependent on insurance plan selection where applicable in the respective country of employment; Employees may also have voluntary insurance options, such as life, disability, hospital protection, accident, and critical illness where applicable in the respective country of employment
• 12 weeks of paid parental leave for both birthing and non-birthing caregivers, as well as an additional 6-8 weeks of pregnancy disability for birthing parents to be used before child bonding leave (where local requirements are more generous employees receive the greater benefit); Employees also have access to family planning care and reimbursement
• Flexible PTO with a mandatory annual minimum of 10 days paid time off for all locations (where local requirements are more generous employees receive the greater benefit), and sabbatical program
• Access to mental wellness and professional coaching, therapy, and Employee Assistance Program
• Monthly stipends to support health and wellness, smart work, and professional growth
• Professional career coaching, internal learning & development programs
• 401k plan and pension schemes (in countries where statutorily required) financial wellness benefits, like CPA or financial advisor coverage
• Discounted Pet Insurance offering (US only)
• Commuter benefits for in-office employees

Temporary employees are not eligible for paid holiday time off, accrued paid time off, paid leaves of absence, or company-sponsored perks unless otherwise required by law.

Remote, together

At Webflow, equality is a core tenet of our culture. We are an Equal Opportunity (EEO)/Veterans/Disabled Employer and are committed to building an inclusive global team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Employment decisions are made on the basis of job-related criteria without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by applicable law. Pursuant to the San Francisco Fair Chance Ordinance, Webflow will consider for employment qualified applicants with arrest and conviction records.

Stay connected

Not ready to apply, but want to be part of the Webflow community? Consider following our story on our Webflow Blog, LinkedIn, X (Twitter), and/or Glassdoor. 

Please note:

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Upon interview scheduling, instructions for confidential accommodation requests will be administered.

To join Webflow, you'll need a valid right to work authorization depending on the country of employment.

If you are extended an offer, that offer may be contingent upon your successful completion of a background check, which will be conducted in accordance with applicable laws. We may obtain one or more background screening reports about you, solely for employment purposes.

For information about how Webflow processes your personal information, please reviewWebflow’s Applicant Privacy Notice. 

WHAT YOU’LL DO

Join our dynamic team dedicated to revolutionizing data infrastructure and products for impactful decision-making at Braze. We collaboratively shape data engineering strategies, optimizing data pipelines and architecture to drive business growth and enhance customer experiences.

Responsibilities:

• Lead the design, implementation, and monitoring of scalable data pipelines and architectures using tools like Snowflake and dbt
• Develop and maintain robust ETL processes to ensure high-quality data ingestion, transformation, and storage
• Collaborate closely with data scientists, analysts, and other engineers to design and implement data solutions that drive customer engagement and retention
• Optimize and manage data flows and integrations across various platforms and applications
• Ensure data quality, consistency, and governance by implementing best practices and monitoring systems
• Work extensively with large-scale event-level data, aggregating and processing it to support business intelligence and analytics
• Implement and maintain data products using advanced techniques and tools
• Collaborate with cross-functional teams including engineering, product management, sales, marketing, and customer success to deliver valuable data solutions
• Continuously evaluate and integrate new data technologies and tools to enhance our data infrastructure and capabilities

WHO YOU ARE

The ideal candidate for this role possesses:

• 5+ years of hands-on experience in data engineering, cloud data warehouses, and ETL development, preferably in a customer-facing environment
• Proven expertise in designing and optimizing data pipelines and architectures
• Strong proficiency in advanced SQL and data modeling techniques
• A track record of leading impactful data projects from conception to deployment
• Effective collaboration skills with cross-functional teams and stakeholders
• In-depth understanding of technical architecture and data flow in a cloud-based environment
• Ability to mentor and guide junior team members on best practices for data engineering and development
• Passion for building scalable data solutions that enhance customer experiences and drive business growth
• Strong analytical and problem-solving skills, with a keen eye for detail and accuracy
• Extensive experience working with and aggregating large event-level data
• Familiarity with data governance principles and ensuring compliance with industry regulations
• Prefer, but don’t require, experience with Kubernetes for container orchestration and Airflow for workflow management

 #LI-Remote

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Principal Machine Learning Engineerwho is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

Responsibilities:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

Minimum Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Ideal Skills & Experience:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-Remote

The salary range for this role is $50,000 - $120,000 per year (Gross in USD) 

About Sezzle:

With a mission to financially empower the next generation, Sezzle is revolutionizing the shopping experience beyond payments, blending cutting-edge tech with seamless, interest-free installment plans that make shopping smarter and more accessible. We’re not just transforming payments; we’re redefining how people discover, interact with, and purchase the things they love while driving real impact on merchant sales through increased conversions and higher order values. As we continue to shape the future of fintech and retail, we’re building an innovative, dynamic team passionate about creating more than just a transaction but a truly unique shopping journey. If you’re excited about pushing boundaries in tech and delivering a game-changing experience for consumers and merchants alike, come join us at Sezzle and help create the future of shopping!

About the Role: 

We are seeking a talented and motivated Principal Machine Learning Engineerwho is best in class with a high IQ plus a high EQ. This role presents an exciting opportunity to thrive in a dynamic, fast-paced environment within a rapidly growing team, with abundant prospects for career advancement.

You will be responsible for overseeing the design, development, and deployment of machine learning models that power and enhance our financial platform. In this role, you will drive the creation of scalable machine learning solutions for personalized recommendations in the Sezzle marketplace, fraud detection, and credit risk assessment, utilizing a combination of cloud services, open-source tools, and proprietary algorithms.

Your leadership will be key in blending machine learning development and operations (MLOps) to automate and optimize the full lifecycle of our ML models. You will collaborate with a team of engineers and data scientists to build large-scale, high-quality solutions that address diverse challenges in the shopping and fintech space. You’ll ensure our AI-driven features are robust, efficient, and scalable as we continue to grow.

Responsibilities:

• Design, Build, and Maintain Scalable ML Infrastructure: Lead the design and development of scalable machine learning infrastructure on AWS, utilizing services like AWS Sagemaker for efficient model training and deployment.
• Collaborate with Product Teams: Work closely with product teams to develop MVPs for AI-driven features, ensuring quick iterations and market testing to refine solutions effectively.
• Develop Monitoring & Alerting Frameworks: Create and enhance monitoring and alerting systems for machine learning models to ensure high performance, reliability, and minimal downtime.
• Support Cross-Departmental AI Utilization: Enable various departments within the organization to leverage AI/ML models, including cutting-edge Generative AI solutions, for different use cases.
• Provide Production Support: Offer expertise in debugging and resolving issues related to machine learning models in production, participating in on-call rotations for operational troubleshooting and incident resolution.
• Scale ML Architecture: Design and scale machine learning architecture to support rapid user growth, leveraging deep knowledge of AWS and ML best practices to ensure robustness and efficiency.
• Mentor and Elevate Team Skills: Conduct code reviews, mentor team members, and elevate overall team capabilities through knowledge sharing and collaboration.
• Stay Ahead of the Curve: Stay updated with the latest advancements in machine learning technologies and AWS services, driving the adoption of cutting-edge solutions to maintain a competitive edge.

Minimum Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, Statistics, Physics, or a relevant technical field, or equivalent practical experience.
• At least 6+ years of experience in machine learning engineering, with demonstrated success in deploying scalable ML models in a production environment.

Ideal Skills & Experience:

• Deep expertise in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining, artificial intelligence, or related technical fields.
• Proven track record of developing machine learning models from inception to business impact, demonstrating the ability to solve complex challenges with innovative solutions.
• Proficiency with Python is required, and experience with Golang is a plus.
• Demonstrated technical leadership in guiding teams, owning end-to-end projects, and setting the technical direction to achieve project goals efficiently.
• Experience working with relational databases, data warehouses, and using SQL to explore them.
• Strong familiarity with AWS cloud services, especially in deploying and managing machine learning solutions and scaling them in a cost-effective manner.
• Knowledgeable in Kubernetes, Docker, and CI/CD pipelines for efficient deployment and management of ML models.
• Comfortable with monitoring and observability tools tailored for machine learning models (e.g., Prometheus, Grafana, AWS CloudWatch) and experienced in developing recommender systems or enhancing user experiences through personalized recommendations.
• Solid foundation in data processing and pipeline frameworks (e.g., Apache Spark, Kafka) for handling real-time data streams.

About You:

• • You have relentlessly high standards - many people may think your standards are unreasonably high. You are continually raising the bar and driving those around you to deliver great results. You make sure that defects do not get sent down the line and that problems are fixed so they stay fixed.
  • You’re not bound by convention - your success—and much of the fun—lies in developing new ways to do things
  • You need action - speed matters in business. Many decisions and actions are reversible and do not need extensive study. We value calculated risk-taking.
  • You earn trust - you listen attentively, speak candidly, and treat others respectfully.

What Makes Working at Sezzle Awesome:

At Sezzle, we are more than just brilliant engineers, passionate data enthusiasts, out-of-the-box thinkers, and determined innovators. We believe in surrounding ourselves with only the best and the brightest individuals. Our culture is not defined by a certain set of perks designed to give the illusion of the traditional startup culture, but rather, it is the visible example living in every employee that we hire. 

#Li-Remote

​​About the Role:

Hims & Hers is looking to hire an exceptional Financial Analyst, Category Management to join our strategic finance organization. This role will report to the Sr. Finance Manager, Category Management and is remote-based. As a Financial Analyst, you will own and be responsible for category P&L management, maintaining category financial models and revenue forecasts, building models for new products and pricing decisions, supporting ad-hoc strategic finance decisions, systems management, and customer lifetime value calculations.

You Will:

• Build, maintain, and fully own the revenue and contribution margin forecasts for multiple business lines
• Act as a trusted advisor to category directors on cross-functional teams. You will develop and present your business leaders with the most current information, analysis, and insights to help them understand their short and long-term financial position
• Own customer lifetime value models and be the subject matter expert of the unit economics of your responsible business lines. Guide leadership’s understanding and decision-making for the business
• Construct and manage frameworks to evaluate the size, impact, and prioritization of competing initiatives
• Regularly build Excel/Gheet models from scratch that solve a problem or answer a complex business question
• Partner with cross-functional teams to set, manage, and optimize pricing across business lines
• Define KPIs, develop scorecards, and build and automate reporting around them
• Perform ad-hoc projects, financial analyses, and presentations for executive management and the Board of Directors
• Participate in the preparation and review of annual, quarterly, and monthly budgets

You Have:

• B.S. in Finance or Accounting, or equivalent experience
• 2+ years of experience in analytical financial roles such as strategic finance, investment banking, and/or consulting
• The ability to manipulate large datasets is a must. Prior SQL or Looker experience is a plus
• Strategic thinker who is intellectually curious
• Highly organized and detail-oriented, with the ability to multitask 
• An ambitious self-starter who thrives in an ever-changing work environment

Nice to Have:

• CFA or CPA
• Experience in technology/consumer investment banking group or at a high growth start-up/company preferred but not required
• Experience with online subscription businesses, acquisition marketing metrics and lifetime value concepts is a plus

Our Benefits (there are more but here are some highlights):

• Competitive salary & equity compensation for full-time roles
• Unlimited PTO, company holidays, and quarterly mental health days
• Comprehensive health benefits including medical, dental & vision, and parental leave
• Employee Stock Purchase Program (ESPP)
• Employee discounts on hims & hers & Apostrophe online products
• 401k benefits with employer matching contribution
• Offsite team retreats

#LI-Remote

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

The Senior Data Scientist develops models and runs analyses to enhance business operations and support Oscar's goals.

You will report to the Lead Data Scientist.

Work Location: 

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission. 

If you live within commutable distance to our New York City office (in Hudson Square), our Tempe office (off the 101 at University Dr), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role. 

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Indiana, Iowa, Kansas, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role is: $158,400 - $207,900 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities

• Works with team and manager to impact longer term strategies and roadmap
• Sets shorter term roadmap for team
• May manage data scientists and/or analysts
• Interacts and collaborates closely with data and business counterparts across functional areas
• Researches, develops, and maintains data pipelines, statistical/ML models, and/or advanced analyses
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

• 4+ years of industry or other quantitative technical fields (which may include academia).
• 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus Points

• Advanced degree in a quantitative or technical field
• Experience in the healthcare, finance and/or insurance industries

Travel

• Up to 5%

Hi, we're Oscar. We're hiring an Operations, Data Analyst to join our Operations Intelligence team.

Oscar is the first health insurance company built around a full stack technology platform and a focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role

You will partners across the organization to manage inefficiencies in the business. You will support departments in scoping, analyzing and monitoring performance of important financial and utilization metrics in service of our goals. You will collaborate independently with partners to define key questions, scope analyses and deliver results. You may be called upon to speak to prepared analysis both internally and externally. This work aims to reduce medical waste and deliver more affordable and higher-quality health care for Oscar's members.

You will report to the Senior Manager, Operations Intelligence.

Work Location:

Oscar is a blended work culture where everyone, regardless of work type or location, feels connected to their teammates, our culture and our mission.

If you live within commutable distance to our New York City office ( in Hudson Square), our Tempe office (off the 101 at University Ave), or our Los Angeles office (in Marina Del Rey), you will be expected to come into the office at least two days each week. Otherwise, this is a remote / work-from-home role.

You must reside in one of the following states: Alabama, Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Vermont, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change. #LI-Remote

Pay Transparency:

The base pay for this role in the states of California, Connecticut, New Jersey, New York, and Washington is: $80,800 - $106,050 per year. The base pay for this role in all other locations is: $72,700 - $95,445 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses.

Responsibilities

• Analyze data to support business teams in making better informed, data-driven decisions
• Use data to tell a story that non-technical colleagues will understand, including packaging and presenting findings
• Oversee the creation and maintenance of essential operational and analytical dashboards, and update and enhance them as our user's needs evolve
• Create models and tools that produce relevant insights to identify inefficiencies and generate insights to remove inefficiencies
• Collaborate across the organization to identify actions to achieve improvements and monitor initiative impact
• Support other projects as assigned to meet our needs
• Compliance with all applicable laws and regulations
• Other duties as assigned

Qualifications

• 2+ years of SQL, experience with the ability to filter, aggregate, and build CTEs
• 1+ years of technical work experience using visualization tools such as Tableau, Power BI, Looker, Periscope, etc.
• 1+ years demonstrated ability to work with large datasets and distill analyses into relevant insights with a structured and systematic thought process
• Strong communication skills, verbal and written, around business reporting impact and requirements, as demonstrated by experience on at least 2 reporting projects requiring communication between technical and non-technical users
• Proficiency in Google Sheets or Excel skills, with ability to use VLookup, nested if statements and connected Sheets

Bonus Points

• 1+ years experience in preparing healthcare analytics and reporting
• 1+ years experience managing value-based contracts at a payer or a provider organization (ACO, CIN, MSO etc.)
• 1+ years experience developing dashboards and working with Looker, or other business intelligence/data visualization tools
• Exposure to healthcare contract negotiations, risk adjustment, ACA marketplace, quality of care, and/or population health experience
• 1+ years experience in healthcare, finance or the insurance industry