What you’ll do

In a few words…

Abarca is igniting a revolution in healthcare.  We built our company on the belief that with smarter technology we are redefining pharmacy benefits, but this is just the beginning…

Our Operational Performance team is #All-In on centralizing data to dive through and study as they work on improving operations at Abarca. The Performance Monitoring team has the metrics tracking down from OKRs to KPIs and proactively manages shortfalls to ensure we continuously set and reach the highest standards. That's why performance is part of their name as they help drive both scalability and efficiency across the board!

As our Service Level Analyst, you will play a critical role in monitoring, analyzing, and reporting on service level agreements (SLAs) to ensure the organization meets its commitments to customers and clients. This role involves data analysis, reporting, and collaboration with various teams to maintain high service quality and customer satisfaction.

The fundamentals for the job…

• Tracks that Performance Guarantees (PG) reports are produced for each customer service. Documents overall compliance of SLAs by client/area.
• Analyze data to identify trends, areas of improvement, and/ or opportunities to enhance service delivery.
• Performs gap analysis to highlight breaches of SLA targets, investigating reasons and recommending improvement actions to PG owners to prevent their recurrence (collaboration with Performance Oversight team). Triggers and collaborates with PG owners on Improvement Action Plan process once criteria are met.
• Monitors PG owners Improvement Action plan completion and results.
• Executes periodic process audits to ensure reporting methodology accuracy.
• Monitor adherence to client service level agreement by reviewing documentation supplied by operations and technology teams.
• Generate regular reports on service performance and SLA adherence.
• Maintain accurate records of SLAs, service metrics, and performance data.
• Ensure documentation is up-to-date and readily accessible.
• Assist in the implementation of service improvement initiatives and projects.
• Provide data-driven insights to support continuous service quality enhancements.
• Identify and report potential risks to SLA attainment.
• Collaborate on strategies to mitigate risks and ensure consistent service quality.
• Provide necessary data and reports needed for the Performance Guarantee committee.

What we expect of you 

The bold requirements…

• Bachelor’s or Master’s Degree in Business Administration, Science, or related field (In lieu of a degree, equivalent relevant experience may be considered.)
• 3+ years of experience in experience in contract and vendor management, corporate affairs and/or related fields.
• Experience and solid expertise in project planning, data management, data analysis, and reporting.
• Experience in leveraging excel for reporting and business analytics.
• Excellent oral and written communication skills.
• We are proud to offer a flexible hybrid work model which will require certain on-site workdays (Puerto Rico Location Only)

Nice to have….

• Experience with Experience with the Healthcare, Pharmacy, and Pharmacy Benefit Management industries, Medicare Part D, and CMS regulations.
• Experience with SQL Queries, PowerBi, Microsoft Visio and other visual documentation or analytics tools.

Physical requirements…

• Must be able to access and navigate each department at the organization’s facilities.
• Sedentary work that primarily involves sitting/standing.

At Abarca we value and celebrate diversity. Diversity, equity, inclusion, and belonging are guiding principles of Abarca and ensure Abarca’s workforce reflects the communities it serves.  We are proud to provide equal employment opportunities to all employees and applicants for employment and prohibit discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, medical condition, genetic information, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Abarca Health LLC is an equal employment opportunity employer and participates in E-Verify.  “Applicant must be a United States’ citizen. Abarca Health LLC does not sponsor employment visas at this time”

The above description is not intended to limit the scope of the job or to exclude other duties not mentioned. It is not a final set of specifications for the position. It’s simply meant to give readers an idea of what the role entails.

#LI-JD1 #LI-REMOTE

UK Remote or Belfast

Serial tech entrepreneur Ilir Sela started Slice in 2010 with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over 18,000 restaurants (that’s nearly triple Domino’s U.S. network!) with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in.

The Challenge to Solve

Provide Slice with up to date data to grow the business and to empower independent pizzeria owners to make the best data driven decisions through insights that ensure future success.

The Role

You will be responsible for leading data modelling and dataset development across the team. You’ll be at the forefront of our data strategy. Partnering closely with business and product teams,  to fuel data-driven decisions throughout the company. Your leadership will guide our data architecture expansion, ensuring smooth data delivery and maintaining top-notch data quality. Drawing on your expertise, you’ll steer our tech choices and keep us at the cutting edge of the field. You’ll get to code daily and provide your insights into best practices to the rest of the team.

The Team

You’ll work with a team of skilled data engineers daily, providing your expertise to their reviews, as well as working on your own exciting projects with teams across the business. You’ll have a high degree of autonomy and the chance to impact many areas of the business. You will optimise data flow and collection for cross-functional teams and support software developers, business intelligence, and data scientists on data initiatives using this to help to support product launches and supporting Marketing efforts to grow the business. This role reports to the Director of Data Engineering.

The Winning Recipe

We’re looking for creative, entrepreneurial engineers who are excited to build world-class products for small business counters. These are the core competencies this role calls for:

• Strong track record of designing and implementing modern cloud data processing architectures using programming languages such as Java, Scala, or Python and technologies like Spark
• Expert-level SQL skills
• Extensive experience in data modelling and design, building out the right structures to deliver for various business and product domains
• Strong analytical abilities and a history of using data to identify opportunities for improvement and where data can help drive the business towards its goals
• Experience with message queuing, stream processing using frameworks such as Flink or KStreams and highly scalable big data data stores, as well as storage and query pattern design with NoSQL stores
• Proven leadership skills, with a track record of successfully leading complex engineering projects and mentoring junior engineers, as well as working with cross-functional teams and external stakeholders in a dynamic environment
• Familiarity with serverless technologies and the ability to design and implement scalable and cost-effective data processing architectures

The Extras

Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights:

• Access to medical, dental, and vision plans
• Flexible working hours
• Generous time off policies
• Annual conference attendance and training/development budget
• Market leading maternity and paternity schemes
• Discounts for local pizzerias (of course)

The Hiring Process

Here’s what we expect the hiring process for this role to be, should all go well with your candidacy. This entire process is expected to take 1-3 weeks to complete and you’d be expected to start on a specific date.

1. 30 minute introductory meeting
2. 30 minute hiring manager meeting
3. 60 minute pairing interview
4. 45 minute interview interview
5. 30 minute CTO interview
6. Offer!

Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member.

EquipmentShare is Hiring a Senior People Analyst

EquipmentShare is searching for a Senior People Analyst for our corporate office in Columbia, MO, to support our team as the department continues to grow.  

EquipmentShare is seeking a Senior People Analyst to serve as the point person for specific Human Resource areas. Partners with stakeholders to analyze and guide Human Resources programs. Mentors and trains more junior employees.

Primary Responsibilities

• Translate people needs and data into action: create relationships with individuals across the organization, identify quick wins, choose the appropriate statistical test and partner to implement your findings. 
• Execute against the vision for People Analytics: Support the development of the People Analytics roadmap and execute against the projects that are prioritized. Current projects cover topics in Talent Acquisition, Compensation, Workforce Planning and Employee Listening. 
• Get your hands dirty leading a variety of People Analytics projects, which will involve wrangling data to enable comprehensive intelligence and tapping in where needed.

Why We’re a Better Place to Work

• Competitive salary.
• Medical, Dental and Vision coverage for full-time employees.
• 401(k) and company match.
• Unlimited (PTO) plus company paid holidays.
• Corporate office stocked breakroom and full kitchen, chef prepared meals daily (breakfast and lunch).
• State of the art onsite gym (Corporate HQ) with instructor led-courses/Gym stipend for remote employees.
• Seasonal and year round wellness challenges.
• Company sponsored events (annual family gatherings, happy hours and more).
• Volunteering and local charity initiatives that help you nurture and grow the communities you call home. Employees receive 16 hours of paid volunteer time per year. 
• Opportunities for career and professional development with conferences, events, seminars and continued education. 

About You 

Our mission to change an entire industry is not easily achieved, so we only hire people who are inspired by the goal and up for the challenge. In turn, our employees have every opportunity to grow with us, achieve personal and professional success and enjoy making a tangible difference in an industry that’s long been resistant to change. 

Skills & Qualifications 

• At least 4+ years of experience in a People Analyst role where you ran people analytics projects from intake to action. If you’ve learned the most complicated analysis isn’t always the right analysis, how to get stakeholders excited about People Analytics and how to say no– you have this experience. 
• SQL experience required
• Python or R experience required
• A degree in  Psychology, Economics, Math, Statistics or anything relevant to the implementation of People Analytics.  An advanced degree (e.g. Master’s, PhD) is preferred. 
• Knowledge of methods (e.g. surveys, focus groups, experiments) and analysis (e.g. regression analysis, time series analysis, sentiment analysis) commonly used in People Analytics. 
• Desire to thrive in a high-paced environment
• Strong ability to adapt and be flexible within the scope of a given project as vision, priorities, and timelines shift

EquipmentShare is committed to a diverse and inclusive workplace. EquipmentShare is an equal opportunity
employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation,
protected veteran status, disability, age, or other legally protected status.

#LI-Remote

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

Oscar is the first health insurance company built around a full stack technology platform and a relentless 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

Oscar is restructuring health care to make it easy, affordable, and seamless for consumers to access high value care. Oscar’s data team is focused on pushing our understanding of this complex landscape. Insurance companies sit on a trove of data that is both broad and deep, spanning financial claims, clinical medical records, and rich product interaction data from our members. Connecting the dots across these datasets gives us unique insight into how the healthcare system functions and allows us to improve care coordination, better manage risk, build higher-performing provider networks, and create a standout consumer experience in our product. At Oscar, we are looking for bright and curious data minded individuals to join our team of 30+ researchers, data scientists, and analysts to leverage our efforts!

As a Data Scientist I, you will partner closely with our Market P&L, Tech and Legal teams to develop models and tooling to better understand Oscar’s medical costs across its networks. You will develop a deep understanding of healthcare reimbursement and use various data sources to inform negotiations, establish reimbursement for out-of-network providers, and help manage medical costs for Oscar members.

You will report into an Associate Director, Data Science. 

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: Arizona, California, Colorado, Connecticut, Florida, Georgia, Illinois, Iowa, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, Tennessee, Texas, Utah, Virginia, Washington, or Washington, D.C. Note, this list of states is subject to change.

Pay Transparency:

The base pay for this role is: $119,200 - $156,450 per year. You are also eligible for employee benefits, participation in Oscar’s unlimited vacation program, company equity grants and annual performance bonuses.

You must be currently authorized to work in the United States on a full-time basis. Oscar will not sponsor applicants for this role.

Responsibilities

• Responsible for the creation, implementation, and maintenance of data pipelines. This includes ensuring the accuracy, reliability, and timeliness of data flow with the support of a manager.

• Support upkeep and enhancement of our models. This involves regular model testing, validation, and refinement to ensure the models remain effective and up-to-date with the latest industry standards and practices.

• Develop advanced analytics and validation checks on data and statistical model outputs under the review of a manager at critical points. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses.

• Collaborate closely with data leaders and business teams to enhance overall data processes. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our risk adjustment processes and outcomes.

• Compliance with all applicable laws and regulations

• Other duties as assigned

Qualifications

• A bachelor’s degree in a technical field OR 1+ years of relevant work experience

• 1+ years experience working with SQL or Python

• 1+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis  

Bonus Points

• Master’s degree in a technical field

• Knowledge of or previous work experience in health care or health insurance

Who We Are

The name ThousandEyes was born from two big ideas: the power to see things not ordinarily possible and the ability to collect insights from a multitude of vantage points. As the world continues its digital transformation and relies more on cloud services and the Internet, the “network,” which is now both public and private, has become a black box our customers cannot see or understand.  

Our Internet and cloud intelligence platform delivers the only collectively powered real-time view of the Internet and private networks, cloud, and SaaS platforms, helping enterprises and service providers identify problems before they impact revenue, damage brand reputation, or halt employee productivity. 

In August 2020, Cisco Systems completed the acquisition of ThousandEyes, which now forms the ThousandEyes Business Unit within the Cisco Networking Business Group and is the Network Assurance solution for Cisco across the Cisco Networking Cloud and Cisco Security Cloud. ThousandEyes is also a foundational component of Cisco’s growing Full-Stack Observability (“FSO”) business. 

About The Role

We are looking for an Internet Measurement Researcher to join our applied research team. In your role within the research team, you'll be at the forefront of innovation, crafting and refining new algorithms to enhance the inference capabilities at ThousandEyes. Your work will focus on monitoring the performance and reliability of a wide range of technologies including applications, networks, cloud providers, and CDNs. Collaborating closely with top-tier engineering and product teams, you will take your pioneering ideas from prototypes to full-scale production. This will empower some of the world’s largest networks to efficiently monitor and analyze the root causes of various events. 

As a member of our research team, you'll work with an extensive and unparalleled dataset gathered from some of the world's most extensive enterprise and public networks. 

Qualifications

• PhD or MS in Computer Science

• Existing portfolio of network measurement research projects

• Expert knowledge in Internet protocols (TCP/IP, DNS, BGP, HTTP, etc.)

• Experience with networking tools (e.g. tcpdump, ping, etc)

• Expert in Python

• Experience working with SQL and NoSQL (e.g., Mongo, Hadoop)

• Superb written, verbal, and persuasive communication skills

A plus if you have

• Industry research and development experience

• BGP experience

Cisco values the perspectives and skills that emerge from employees with diverse backgrounds. That's why Cisco is expanding the boundaries of discovering top talent by not only focusing on candidates with educational degrees and experience but also placing more emphasis on unlocking potential. We believe that everyone has something to offer and that diverse teams are better equipped to solve problems, innovate, and create a positive impact.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification. Research shows that people from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy. We urge you not to prematurely exclude yourself and to apply if you're interested in this work.

Cisco is an Affirmative Action and Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, national origin, genetic information, age, disability, veteran status, or any other legally protected basis. Cisco will consider for employment, on a case by case basis, qualified applicants with arrest and conviction records. 

US – COMPENSATION RANGE – MESSAGE TO APPLICANTS

146500 USD - 230900  USD

Message to applicants applying to work in the U.S.:

When available, the salary range posted for this position reflects the projected hiring range for new hire, full-time salaries in U.S. locations, not including equity or benefits. For non-sales roles the hiring ranges reflect base salary only; employees are also eligible to receive annual bonuses. Hiring ranges for sales positions include base and incentive compensation target. Individual pay is determined by the candidate's hiring location and additional factors, including but not limited to skillset, experience, and relevant education, certifications, or training. Applicants may not be eligible for the full salary range based on their U.S. hiring location. The recruiter can share more details about compensation for the role in your location during the hiring process.

U.S. employees have access to quality medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, short and long-term disability coverage, basic life insurance and numerous wellbeing offerings. Employees receive up to twelve paid holidays per calendar year, which includes one floating holiday, plus a day off for their birthday. Employees accrue up to 20 days of Paid Time Off (PTO) each year and have access to paid time away to deal with critical or emergency issues without tapping into their PTO. We offer additional paid time to volunteer and give back to the community. Employees are also able to purchase company stock through our Employee Stock Purchase Program.

Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components. For quota-based incentive pay, Cisco pays at the standard rate of 1% of incentive target for each 1% revenue attainment against the quota up to 100%. Once performance exceeds 100% quota attainment, incentive rates may increase up to five times the standard rate with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid.

We seek a passionate Go backend Software Engineer to join our Analytics team and help us build our new data platform fueling business-critical features. You will mainly write new services in Go which run on Google Cloud Platform (GCP) and Kubernetes, interacting with SQL databases, Kafka, and other services.

Part of your job will be to ensure the eventual consistency of data across multiple databases, high availability, good observability, and efficiency of services. The ability to read Python code is crucial since a significant part of the platform code is written in it and some existing features will be moved from the existing Python code base to new Go services.

The team is working remotely in the Central European Timezone. We are more than happy to meet you in Brno (Czechia) or in Bratislava (Slovakia) where our headquarters is located.

If we piqued your interest, you can chat with Milan, the team's Engineering Manager, or go ahead and apply ????.

Responsibilities

1. Develop, design, maintain, and test our services written in Go.
2. Work with GCP, Kubernetes, Kafka, ClickHouse, and many other technologies.
3. Work with SQL interface for efficient interaction with multiple databases.
4. Design distributed systems ensuring data consistency, high availability, observability, and efficiency.
5. Assist and troubleshoot during the service lifecycle, including design, deployment, and operation stages (build it and run it).
6. Work as part of the L3 support to handle and resolve production incidents.

Qualifications

1. Prior experience in software development, specifically with Go.
2. Proficiency in reading Python code.
3. Solid grasp of engineering principles and practices.
4. Experience working with GCP, Kubernetes, cloud-based services, and distributed systems.
5. Familiarity with OLAP SQL databases.
6. High problem-solving capabilities for tackling complex software development issues.
7. Experience being part of a live production on-call rotation is preferred.
8. Familiarity with Data Lakehouses is a plus.
9. Interest in Rust or C++ will be your advantage.

Our stack

• Go, Python, C++ (you will mostly work in Go and read Python)
• ClickHouse, Apache Kafka, MongoDB, and more … 
• Kubernetes (GKE)
• Google Cloud Platform
• Gitlab CI/CD, Prometheus and Grafana

Compensations

• Salary ranges from 3500 EUR gross/month based on your seniority and it can get much higher later depending on your performance.
• There's a bonus based on company performance and your salary.
• You will be entitled to restricted stock units ????that will truly make you a part of Bloomreach.
• You can spend 1500 USD per year on the education of your choice (books, conferences, courses, ...).
• You can count on free access to Udemy courses.
• We have 4 company-wide disconnect days throughout the year during which you will be encouraged not to work and spend a day with your friends and family "disconnected".
• You will have an extra 5 days of paid vacation ????. Extra days off for extra work-life balance ????.
• Food allowance!
• Sweet referral bonus up to 3000 USD based on the position.

Your success story.

• During the first 30 days, you will get to know the team, the company, and the most important processes. You’ll work on yourfirst tasks. We will help you to get familiar with our infrastructure, release process, tools, and product.
• During the first 90 days, you will participate in yourfirst, more complex projects. You will help the team find solutions to various problems, break the solution down into smaller tasks, and participate in implementation. You will learn how we identify problems, prioritize our efforts, and deliver value to our customers.
• During the first 180 days, you’ll become an integral part of the team. You will achieve the first goals we will set together to help you grow and explore new and interesting things. You will help us to deliver multi-milestone projects bringing great value to our customers. You will learn how we write technical documents and drive async cooperation. You will help us mitigate your first incidents, troubleshoot your first issue in production, and eventually even join the L3 support. You will get a sense of where the team is heading and you’ll help us toshape our future.

We are looking for a dedicated and ambitious team player who is not only passionate about coding but also up-to-date with the latest programming trends. This role is ideal for someone who is looking for a challenging yet rewarding role in a fast-growing environment. We are fueling a limitless e-commerce experience. Join us!