Analytics Engineer, Platform

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation systems. The position involves developing dbt-based data models, optimizing cloud data warehouses, implementing data quality frameworks, and enabling AI-assisted analytics capabilities. Candidates will collaborate across analytics, engineering, product, and operations teams to support reporting, operational analysis, and self-service business intelligence. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, or data warehousing, Strong dbt expertise, Advanced SQL proficiency, Experience with Python data transformations and workflows, Knowledge of dimensional modeling and scalable data architecture, Experience with production-grade data models and data quality testing, Experience with cloud data warehouses, Experience orchestrating data pipelines, Experience working in AWS environments, Familiarity with Git and CI/CD workflows, Knowledge of testing and deployment workflows, Strong analytical and problem-solving skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: - Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space - Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence - Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models - Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs - Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability - Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability - Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability - Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability - Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation - Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows WHO YOU ARE: - 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field - Strong experience with dbt and modern analytics engineering best practices - Advanced SQL proficiency and experience developing data transformations and workflows using python - Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles - Experience building and maintaining production-grade data models, data quality tests, and documentation - Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery - Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow or Dagster - Experience working within cloud environments, preferably AWS - Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows - Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices - Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions - Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders COMPENSATION: - $100,000 - $140,000 annually - Bonus and equity included - Compensation determined by geographic location, experience, and qualifications

🏢 Summary: Analytics Engineer role focused on building scalable healthcare data products and analytics-ready datasets for PBM and care navigation operations. The position emphasizes dbt-based data modeling, cloud data warehousing, automated data quality processes, and collaboration across analytics, engineering, and business teams. The role also supports AI-enabled analytics capabilities and self-service data platforms. 🗂️ Requirements: 3+ years experience in analytics engineering, data modeling, data warehousing or related field, Strong experience with dbt, Advanced SQL proficiency, Experience developing data transformations and workflows with Python, Understanding of dimensional modeling and scalable data architecture, Experience building production-grade data models and data quality tests, Experience with cloud data warehouses, Experience orchestrating and monitoring data pipelines, Experience working in cloud environments, Familiarity with Git and CI/CD workflows, Experience with testing and deployment workflows, Strong problem-solving and analytical skills, Ability to collaborate with technical and non-technical stakeholders 📃 Skills: dbt, SQL, Python, Redshift, Snowflake, BigQuery, Airflow, Dagster, AWS, Git, CI/CD, MCP, Claude 🏢 Description: ABOUT THE ROLE: We are seeking an Analytics Engineer to join our Analytics Platform team to design, build and maintain scalable data products that power our Pharmacy Benefit Management (PBM) and Care Navigation organizations. In this role, you will be responsible for transforming complex healthcare data into trusted, analytics ready datasets that support operational reporting, client insights, financial analysis and strategic decision-making. You will partner closely with Analytics, Data Engineering, Clinical, Client Success, Product and Operations teams to build reliable and scalable data models within our data foundry. This role is ideal for someone who is passionate about analytics engineering, has strong dbt expertise, enjoys solving complex healthcare data challenges and thinks beyond individual requests to build reusable and maintainable systems. You will play a key role in shaping the future of our data platform by developing high-quality data products, establishing engineering best practices, and helping the organization evolve toward AI-enabled and self-service analytics capabilities. WHAT YOU'LL DO: - Apply hands on analytics and data expertise to solve complex, fast moving financial and operational problems in the health tech space - Design, develop and maintain scalable, analytics ready data models (primarily in dbt) that power a PBM and care navigation data ecosystem that support client reporting, performance analytics, operational analysis and self-service business intelligence. - Translate complex pharmacy benefits and healthcare navigation workflows, business rules and operational processes into transparent, maintainable, and auditable data models. - Partner closely with data and analytics engineers, data analysts and business stakeholders to deliver reliable data products that can be leveraged across multiple use cases and continuously optimize data models and warehouse performance to support large-scale PBM/care navigation datasets and growing business needs. - Implement automated data quality checks, testing frameworks and reconciliation processes to ensure data reliability. - Establish documentation standards, lineage and analytics engineering guardrails that promote transparency and auditability. - Contribute to engineering best practices including version control, CI/CD, incremental models, code reviews, and observability. - Contribute to data governance by establishing modeling standards, documentation and guardrails that support auditability, explainability and long term maintainability. - Build data foundations that enable future agentic analytics engineering use cases, including self-service analytics and AI-assisted insight generation. - Stay informed on emerging technologies and identify opportunities to incorporate AI into analytics engineering workflows. WHO YOU ARE: - 3+ years of experience in analytics engineering, data modeling, data warehousing or a related field. - Strong experience with dbt and modern analytics engineering best practices (required). - Advanced SQL proficiency and experience developing data transformations and workflows using python. - Strong understanding of dimensional modeling, medallion architecture, semantic modeling and scalable data architecture principles. - Experience building and maintaining production-grade data models, data quality tests, and documentation. - Experience working with cloud data warehouses such as Amazon Redshift, Snowflake, or BigQuery. - Experience orchestrating and monitoring data pipelines using tools such as Apache Airflow, Dagster etc. - Experience working within cloud environments, preferably AWS. - Familiarity with software engineering practices including Git, CI/CD, pull request reviews, testing, and deployment workflows. - Interest or experience in leveraging AI-enabled development workflows and analytics tooling, including experience with or willingness to learn technologies such as Claude, Claude Skills, Model Context Protocol (MCP) and AI assisted engineering practices. - Strong problem-solving and analytical skills with a focus on building scalable, maintainable data solutions. - Effective communication skills and the ability to collaborate with both technical and non-technical stakeholders. COMPENSATION: $100,000 - $140,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Product Manager role owning and scaling a B2B Client Portal into a self-serve analytics and workflow platform for employer healthcare clients. The position focuses on building dashboards, clinical insight workflows, and structured implementation tools while leading a cross-functional squad. Ideal for an early-career PM with strong analytical skills and experience in healthcare or data-driven SaaS products. 🗂️ Requirements: 2–4 years of product management experience delivering digital products, Experience building or enhancing B2B SaaS products, dashboards, or workflow tools, Strong analytical skills and ability to define and evaluate metrics, Experience shipping products iteratively with engineering and design teams, Experience in healthcare benefits, PBM, pharmacy, or employer-sponsored health plans, Experience building analytics or reporting products, Familiarity with healthcare performance metrics, cost drivers, or outcomes measurement, Experience working with client-facing or operational teams 📃 Skills: SaaS, Analytics, Dashboards, Reporting, ProductManagement, Agile, Backlog, UserStories, Healthcare, PBM, Metrics, Instrumentation 🏢 Description: Location: Remote (EST/CST preferred), NYC area encouraged ABOUT THE ROLE: We're seeking a driven, analytically strong Product Manager to lead the continued evolution of Rightway's Client Portal — the customer-facing application that enables employers to access performance data, track implementation progress, collaborate with Rightway, and understand the impact of their pharmacy benefit. The Client Portal is an established product used regularly by our customers. Clients value the experience today and are eager for deeper analytics, more self-service insight, and greater transparency into implementation and renewal workflows. At the same time, our internal teams need more structured tooling to reduce manual processes and custom reporting. This role will take ownership of the Client Portal and help transform it into a scalable self-serve analytics product that reduces reliance on custom reporting, a structured implementation platform that improves launch transparency and efficiency and a differentiated surface that strengthens client retention and supports sales conversations. You will lead a dedicated squad of 3–4 U.S.-based engineers and a designer, working closely with Client Success, Implementation, Analytics, Sales, and Operations teams. This role is well-suited to an early-career PM (2–4 years of experience) who is excited to own a high-impact product, work deeply with data, and operate at the intersection of customer experience and operational efficiency. WHAT YOU'LL DO: Own the Client Portal Roadmap - Define and execute the roadmap for the Client Portal, balancing customer insight, implementation efficiency, and internal operational scale. - Prioritize initiatives that increase portal adoption and engagement across our employer base. - Partner with leadership to evolve the portal into both a core customer experience surface and a strategic sales asset. Build Scalable, Self-Serve Analytics - Design and ship intuitive dashboards that allow clients to explore pharmacy performance cost drivers, utilization trends and population health insights, prior authorization and eligibility escalations, and program impact/ROI. - Translate complex healthcare and pharmacy data into clear, usable product experiences. - Reduce reliance on custom analytics requests by building flexible, scalable reporting capabilities. - Partner closely with data and engineering to ensure reporting accuracy, proper instrumentation, and long-term scalability. Create Actionable Clinical Insights ("Chase Lists") - Partner with clinical teams to develop a prioritized, ranked "chase list" of members based on estimated intervention value. - Provide member context (condition, medication usage) and clinically appropriate alternatives. - Deliver clear explanations that help clinical teams act confidently and consistently. - Ensure outputs are practical for real outreach operations and iterate with fast feedback loops. Improve Implementation & Workflow Efficiency - Create structured implementation tracking experiences that outline required inputs and documentation, provide milestone visibility and launch readiness tracking. - Improve transparency for clients and internal teams. - Streamline document sharing, renewal workflows, and ongoing client collaboration. - Identify operational bottlenecks and convert them into durable product solutions. - Improve implementation efficiency, measured by increased implementations per specialist. Drive Cross-Functional Execution - Translate stakeholder needs into clear requirements, user stories, and measurable success metrics. - Lead backlog prioritization and agile ceremonies for a remote squad of engineers and a designer. - Partner closely with Client Success, Implementation, Analytics, Sales, Operations, and Legal teams. - Use product analytics and customer feedback to continuously iterate and improve. WHO YOU ARE: - 2–4 years of product management experience delivering digital products. - Experience building or enhancing B2B SaaS products, dashboards, or workflow tools. - Strong analytical foundation and comfort working with data to define metrics and evaluate impact. - Demonstrated ability to ship iteratively in partnership with engineering and design. - Experience in healthcare benefits, PBM, pharmacy, or employer-sponsored health plans. - Experience building analytics or reporting products. - Familiarity with healthcare performance metrics, cost drivers, or outcomes measurement. - Experience working closely with client-facing or operational teams. EXTRA CREDIT: - Comfortable using data as a storytelling device internally and in customer-facing products. - Ability to bring structure and clarity to complex workflows. - Strong ownership and follow-through. - Collaborative mindset and ability to build trust across teams. - Excited to grow quickly and take on increasing responsibility. COMPENSATION: $140,000 - $160,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Client Success Manager for Pharmacy Benefit Management (PBM) responsible for operational account management of key clients, ensuring high-quality pharmacy benefits delivery and client satisfaction. The role serves as the primary operational contact, leading client meetings, managing open enrollment processes, resolving issues, and coordinating cross-functional teams. Requires strong PBM expertise, client management experience, and the ability to oversee complex accounts in a dynamic environment. 🗂️ Requirements: Bachelor’s Degree, 5–8 years in pharmacy operations, Experience with Pharmacy Benefit Management (PBM) services, Client account management experience, Ability to manage complex operational workflows, Experience leading client meetings and business reviews, Knowledge of pharmacy benefits and plan design, Proficiency in spreadsheet and presentation tools 📃 Skills: PBM, Pharmacy, Excel, GoogleSheets, PowerPoint, GoogleSlides, PlanDesign, Claims, Enrollment, Webinars 🏢 Description: ABOUT THE ROLE: We are seeking a dynamic and experienced Client Success Manager to join our Pharmacy Benefit Management (PBM) team. The successful candidate will be responsible for managing key client relationships, taking an operational approach to account management, ensuring the delivery of high-quality pharmacy benefits, and driving client satisfaction. This role requires a deep understanding of PBM services, strong communication skills, and the ability to manage complex accounts. WHAT YOU'LL DO: - Own day-to-day operational management for an assigned book of PBM clients — including managing client touchbases, tracking inquiries, maintaining issue logs, resolving escalations, and ensuring overall client satisfaction against contractual commitments. - Serve as the primary operational point of contact for all client inquiries, both directly from clients and from internal team members acting on behalf of clients. - Co-lead and facilitate client meetings — including quarterly and annual business reviews — in close coordination with Account Leads. - Partner with the Implementation team during new client onboarding to ensure a seamless handoff from implementation to ongoing client management post-launch. - Gather and manage all client requirements for the annual open enrollment cycle, including benefit changes and customized plan configurations. - Facilitate client-facing webinars, benefit fairs, and employee education sessions on the PBM solution; travel to client sites may be required for open enrollment events. - Proactively identify operational trends and issues; work with internal operations teams and vendor partners to implement corrective and preventative measures. - Monitor and track all client deliverables against contractual obligations, surfacing risks and ensuring timely, accurate delivery across internal and vendor teams. - Contribute to cross-functional initiatives focused on standardizing client operations and implementing process and production enhancements. - Support partners by interpreting plan design, researching and resolving written, phone, and electronic inquiries, and troubleshooting claims, benefit, and enrollment issues. WHO YOU ARE: - Education level: Bachelor's Degree required; Master's Degree preferred. - Work experience: 5–8 years in pharmacy operations. - Location: Remote or Dallas, TX. - Strong client management skills and pharmacy benefit knowledge. - Effective and creative problem-solving abilities. - Ability to prioritize and manage through change. - Solid communication skills and ability to lead projects and influence without direct authority. - Basic knowledge of common spreadsheet tools (Excel, Google Sheets) and presentation tools (PowerPoint, Google Slides). COMPENSATION: $90,000 - $125,000 annually, in addition to bonus and equity. Compensation is determined by geographic location, experience, and qualifications.

🏢 Summary: Senior Client Success Manager role within a Pharmacy Benefit Management (PBM) team, responsible for managing complex client accounts, ensuring high-quality pharmacy benefit delivery, and driving client satisfaction. The position focuses on consultative account management, operational oversight, and cross-functional collaboration to meet contractual obligations and support pharmacy operations. It involves leading client meetings, supporting implementations, resolving escalations, and providing strategic insights on industry trends. 🗂️ Requirements: Bachelor's Degree, 5-8 years in pharmacy operations, Strong pharmacy benefit management (PBM) knowledge, Client account management experience, Ability to manage contract deliverables and track compliance, Experience leading client meetings and business reviews, Ability to gather and manage open enrollment requirements, Project leadership and cross-functional collaboration skills, Proficiency in spreadsheet and presentation tools (Excel, Google Sheets, PowerPoint, Google Slides) 📃 Skills: PBM, Pharmacy, Excel, GoogleSheets, PowerPoint, GoogleSlides 🏢 Description: ABOUT THE ROLE: We are seeking a dynamic and experienced Senior Client Success Manager to join our Pharmacy Benefit Management (PBM) team. The successful candidate will be responsible for managing key client relationships, taking a consultative approach to account management, ensuring the delivery of high-quality pharmacy benefits, and driving client satisfaction. This role requires a deep understanding of PBM services, strong communication skills, and the ability to manage complex accounts. WHAT YOU'LL DO: Responsible for the overall relationship with assigned PBM clients, including managing ongoing client touchbases, contract deliverables, tracking client inquiries and maintaining logs, resolving client escalations when they occur, and ensuring overall client satisfaction. Maintain regular contact with clients, client representatives, and other internal members of the account team regarding ongoing pharmacy operations. Serve as the initial point of contact for all day-to-day operational inquiries, either from clients directly or from internal team members on behalf of the client. Lead and facilitate all client meetings, including quarterly and annual business reviews. Partner with the Implementation Team during new client implementations to ensure a seamless transition from implementation to client management post-launch. Responsible for gathering all client requirements for the annual open enrollment process, including benefit changes and any customized requirements. Participate in client webinars, training, and other forums designed to educate their employees on the PBM solution. Travel to client sites for Open Enrollment or Benefit Fairs may be required. Identify trends within issues and work with the operations team and vendor partners to take appropriate preventative measures. Work with operations and vendor partners to ensure all requirements and deliverables are met and sent to the client timely and accurately. Ability to track and identify issues and risks that are not being met per contractual obligations. Participate in efforts to support standardization across accounts and work in multi-disciplinary teams to design and implement production and operational enhancements. Provide ongoing support to partners which may include, but is not limited to, interpreting plan design, researching and resolving phone, written and electronic inquiries, and resolving claims, benefit and enrollment issues. Maintain an understanding of industry trends and provide clients with insights and recommendations on how the PBM solutions work to address those trends. WHO YOU ARE: Education level: Bachelor's Degree Required. Preferred: Master's Degree Work experience: 5-8 years in pharmacy operations Location information: Remote or Dallas, TX Important characteristics of ideal candidate: Detail-oriented, consultative and presentation skills, excellent communication & organization skills, ability to bring stakeholders together to identify solutions to challenges Specific skills needed for the job: Solid client management skills, pharmacy benefit knowledge, effective & creative problem-solving, ability to prioritize and manage through change. Solid communication skills, ability to lead projects and influence others even without direct reporting line ownership. Basic knowledge of common spreadsheet tools (Excel, Google Sheets) and Presentation Tools (Power Point, Google Slides) COMPENSATION: $125,000 - $145,000 annually, in addition to bonus and equity Compensation offered will be determined by geographic location, experience, and qualifications.

🏢 Summary: Senior Client Success Manager role within a Pharmacy Benefit Management (PBM) team focused on managing key client relationships and ensuring high-quality pharmacy benefit delivery. The position requires deep PBM expertise, ownership of complex accounts, and leadership of client operations, implementations, and business reviews. This role combines consultative account management with operational oversight to drive client satisfaction and contractual performance. 🗂️ Requirements: Bachelor's Degree, 5-8 years experience in pharmacy operations, Strong knowledge of Pharmacy Benefit Management (PBM) services, Experience managing complex client accounts, Ability to lead client meetings and business reviews, Ability to manage contract deliverables and track compliance, Experience supporting open enrollment and benefit changes, Project leadership and cross-functional collaboration skills, Proficiency in spreadsheet and presentation tools 📃 Skills: PBM, Pharmacy, Excel, GoogleSheets, PowerPoint, GoogleSlides 🏢 Description: About the Role: We are seeking a dynamic and experienced Senior Client Success Manager to join our Pharmacy Benefit Management (PBM) team. The successful candidate will be responsible for managing key client relationships, taking a consultative approach to account management, ensuring the delivery of high-quality pharmacy benefits, and driving client satisfaction. This role requires a deep understanding of PBM services, strong communication skills, and the ability to manage complex accounts. What You'll Do: - Responsible for the overall relationship with assigned PBM clients, including managing ongoing client touchbases, contract deliverables, tracking client inquiries and maintaining logs, resolving client escalations, and ensuring overall client satisfaction. - Maintain regular contact with clients, client representatives, and internal account team members regarding ongoing pharmacy operations. - Serve as the initial point of contact for day-to-day operational inquiries and lead all client meetings, including quarterly and annual business reviews. - Partner with the Implementation Team during new client implementations to ensure a seamless transition post-launch. - Gather client requirements for the annual open enrollment process, including benefit changes and customized requirements. - Participate in client webinars, training sessions, and forums to educate employees on the PBM solution; travel to client sites for Open Enrollment or Benefit Fairs may be required. - Identify issue trends and collaborate with operations and vendor partners to implement preventative measures. - Ensure all requirements and deliverables are met accurately and on time; track risks related to contractual obligations. - Support standardization across accounts and contribute to operational enhancements in multi-disciplinary teams. - Provide ongoing support including interpreting plan design, resolving claims, benefit and enrollment issues, and handling phone, written, and electronic inquiries. - Maintain awareness of industry trends and provide insights and recommendations to clients. Who You Are: - Education: Bachelor's Degree required; Master's Degree preferred. - 5-8 years of experience in pharmacy operations. - Detail-oriented with strong consultative, presentation, communication, and organizational skills. - Solid client management skills and pharmacy benefit knowledge. - Effective and creative problem-solving abilities. - Ability to prioritize, manage change, lead projects, and influence stakeholders without direct authority. - Basic knowledge of spreadsheet tools (Excel, Google Sheets) and presentation tools (PowerPoint, Google Slides). Compensation: $125,000 - $145,000 annually, in addition to bonus and equity. Compensation is determined by geographic location, experience, and qualifications.

🏢 Summary: Leadership role responsible for driving data analytics strategy and integrating AI to enhance predictive capabilities, operational efficiency, and strategic decision-making in a highly regulated pharmaceutical environment. The position leads cross-functional analytics initiatives, ensures regulatory compliance, and manages a high-performing data team aligned with business goals. Focused on innovation and governance, the role leverages advanced analytics and AI to support organizational growth and performance. 🗂️ Requirements: Bachelor's degree in Data Science, Business Analytics, or related field, Minimum 5 years of experience in data analytics or related roles, At least 2 years of leadership experience, Proven experience leveraging AI in data analytics, Experience in a highly regulated industry, Strong knowledge of data governance and regulatory compliance, Proficiency in data analytics tools and AI-driven platforms 📃 Skills: AI, Analytics, DataScience, PredictiveAnalytics, DataGovernance, Compliance, ProjectManagement, Reporting, DataManagement 🏢 Description: POSITION SUMMARY The Manager, Data Analytics plays a crucial role in driving business impact through sophisticated data analysis and strategic insights. This position encompasses ownership of extensive data projects, leveraging AI to enhance speed, scale, quality, and decision-making. Aligned with growth in a 503A/503B environment, the role demands excellence in strategic thinking, execution rigor, and learning agility. This role is pivotal in aligning data analytics strategies with business goals, ensuring compliance, and fostering innovation in a highly regulated landscape. Candidates must demonstrate strong leadership capabilities and the ability to optimize AI as a transformative force multiplier, advancing competitive edge and operational efficiency. RESPONSIBILITIES Data Strategy AI Integration: Develop and implement data analytics strategies that integrate AI to enhance predictive analytics capabilities, improve data quality, and support strategic decision-making across the organization. Collaborate with cross-functional teams to ensure alignment with business objectives and regulatory requirements. Innovation Leadership: Lead the exploration and adoption of cutting-edge AI technologies to drive innovation in data analytics processes. Foster a culture of continuous improvement and learning within the analytics team to maintain competitive advantage in the industry. Strategic Alignment: Ensure data analytics initiatives align with business goals and regulatory standards. Utilize data-driven insights to inform strategic planning and operational decisions, contributing to growth and compliance in a highly regulated sector. Team Leadership Mentorship and Development: Provide leadership and mentorship to the data analytics team, fostering a collaborative and high-performance environment. Encourage professional growth and development, ensuring the team possesses the skills necessary to meet evolving business needs. Performance Management: Oversee team performance, setting clear objectives and key results (OKRs) aligned with organizational goals. Implement performance metrics and feedback mechanisms to drive accountability and excellence in execution. Talent Acquisition: Participate in the recruitment and retention of top-tier analytics talent. Ensure the team's competencies align with the strategic demands of the business, cultivating a diverse and inclusive workplace culture. Operational Excellence Process Optimization: Optimize data analytics processes to improve efficiency and effectiveness, leveraging AI to streamline operations. Implement best practices and continuous improvement initiatives to enhance data analysis capabilities and outcomes. Resource Management: Manage analytics resources, ensuring efficient allocation of tools and technologies. Monitor budgetary constraints and leverage AI-driven solutions to maximize resource utilization and operational efficiency. Regulatory Compliance: Ensure data analytics practices comply with industry regulations and standards. Implement governance frameworks to maintain data integrity, security, and privacy, supporting commitment to compliance and ethical practices. Cross-Functional Collaboration Partnership Building: Establish and maintain strong relationships with key stakeholders across the organization. Collaborate with departments such as IT, finance, and operations to align data analytics projects with business priorities and strategic initiatives. Communication and Reporting: Effectively communicate data insights and analytics findings to non-technical audiences. Prepare and deliver executive-level reports and presentations that articulate the value and impact of analytics initiatives on business performance. Project Management: Lead cross-functional data analytics projects, ensuring timely delivery and alignment with business objectives. Utilize AI-driven project management tools to enhance collaboration, track progress, and optimize project outcomes. KNOWLEDGE AND SKILLS Proficient in data analytics tools and AI-driven platforms, with strong analytical and problem-solving skills. Exceptional leadership and team management abilities, fostering a culture of innovation and continuous improvement. Strong understanding of regulatory compliance within data management and analytics environments. Excellent communication and stakeholder management skills, with the ability to convey complex data insights effectively. EXPERIENCE AND QUALIFICATIONS Bachelor's degree in Data Science, Business Analytics, or related field; Master's preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.

🏢 Summary: Senior BI and Analytics Engineer responsible for building and optimizing scalable data tools and pipelines within a modern data stack to deliver trusted, high-quality insights across the organization. The role focuses on SQL-driven analytics, data modeling, DataOps practices, and cross-functional collaboration to enable data-driven decision-making. You will develop robust data transformations, maintain data quality, and create impactful dashboards and reverse ETL workflows. 🗂️ Requirements: BSc/MA in Computer Science, Statistics, Math, Engineering or related quantitative field, Minimum 4 years experience in analytics engineering, data engineering, data analytics or related field, Advanced SQL expertise, Experience with in-warehouse transformation tools (dbt preferred), Experience designing and querying OLAP data warehouses (Snowflake or BigQuery), Minimum 1 year experience with BI tools (Looker preferred), Experience with dimensional data modeling (Kimball or Data Vault), Experience building and maintaining data pipelines, Command line proficiency, Git version control experience 📃 Skills: SQL, dbt, Snowflake, BigQuery, Looker, Airflow, FiveTran, OLAP, Kimball, DataVault, Git, Bash, Python, Docker, Kubernetes, ECS, Snowplow 🏢 Description: Who are we and why should you join us? BetterHelp is on a mission to remove the traditional barriers to therapy and make mental health care more accessible to everyone. Founded in 2013, we are now the world's largest online therapy service, providing affordable and convenient therapy in across the globe. Our network of over 30,000 licensed therapists has helped millions of people take ownership of their mental health and change their lives forever. And we're not stopping there – as the unmet need for mental health services continues to grow, BetterHelp is committed to being part of the solution. As a Senior BI and Analytics Engineer at BetterHelp, you'll join a diverse team of licensed clinicians, engineers, product pros, creatives, marketers, and business leaders who share a passion for expanding access to therapy. And as a mental health company, we take employee mental health just as seriously as we do our mission. We deeply invest in our team's well-being and professional development, because we know that business and individual growth go hand-in-hand. At BetterHelp, you'll carve your own path, make an immediate impact, and be challenged every day – with a supportive community behind you the whole way. What are we looking for? We are looking for a Senior Business Intelligence and Analytics Engineer to help us in developing best in class data tools to deliver high quality tools and services and maintain our accelerated growth. These tools must be developed and maintained using best practices to ensure scalability and stakeholder trust as we grow in both size and scope. You will work cross functionally closely with both technical and business stakeholders across the company, as well as optimize our data stack for delivering trustworthy, discoverable, impactful data to fit their needs. What will you do? Act as a subject matter expert (SME) and deliver training to the cross functional teams to enable business users to make data-driven decisions. Deliver direct analytical insights like dashboards and ad-hoc analyses to business stakeholders Collaborate with the teams across the company to understand their use cases and deliver high value data tools Live and breathe SQL Ensure data quality and freshness at every step of the pipeline for data trust and consistency Create reverse ETL flows to make modeled data directly to stakeholders in the tools they use to foster fast and informed decision making Define and build robust DataOps pipelines and data expectations to ensure the effective delivery of data to all internal data services Explore, propose, and integrate new data sources and software solutions into the reporting environment Contribute to data-driven culture at BetterHelp by directly training stakeholders as well as creating resources such as documentation for empowering others to perform their own analyses Enjoy great teamwork, have lots of fun, and take pride in building a world-class product that makes a difference in people's lives. Partner with data and machine learning engineers and work with a modern data stack: Airflow, FiveTran, Snowflake, dbt, and Looker What will you NOT do? You will NOT worry about "runway", "cash left", or "how much time we have until the next round". We have the startup DNA but we're fully backed and funded, all the way to success. You will NOT be confined to your "job". You will get involved in product, marketing, business strategy, and almost everything we do. You will NOT be bogged down by office politics, ego, or bad attitude. Only positive, pleasure-to-work-with people are allowed here! You will NOT get yourself burned out. We work hard but we believe in maintaining a sustainable work/life balance. Really. Can I work remotely? Yes. We operate on PST and candidates in any time zone are welcome to apply. We ask employees to travel to our San Jose, CA office up to three times per year plus one company-wide offsite to collaborate in person and strengthen working relationships. Travel expenses are covered and reasonable accommodations are made for those under unique circumstances who cannot travel. Requirements BSc/MA in a quantitative discipline such as Computer Science, Statistics, Math, or Engineering At least 4 years of experience in an analytics engineering, data engineering, data analytics, or a related field Advanced experience working with data pipeline tools, particularly in-warehouse transformation tools (preferably dbt) Advanced experience with SQL Experience querying and designing performant tables within OLAP data warehouses (e.g. Snowflake, BigQuery) At least 1 year experience working & developing with BI Tools (preferably Looker) Familiarity with frameworks and tradeoffs in building complex data models, preferably working work dimensional modeling frameworks (e.g. Kimball, Data Vault) Excellent communication (oral and written), attention to detail, time management and organizational skills Experience and comfort using the command line Experience using git for version control Bonus (Great to have, but not required) Familiarity with patterns for handling large-scale data transformations (e.g. dbt incremental models, horizontal/vertical scaling big data patterns) Experience working with Python-based workflow orchestration tools (e.g. Airflow) Experience working with Docker and container orchestration (e.g. Kubernetes, ECS) Experience with web-based B2C, marketplace products Familiarity with web event tracking tools like Snowplow Experience defining and building DataOps practices and deployment strategies Experience defining data governance procedures & working with data catalogs Benefits Remote work with regular in-person bonding experiences sponsored by the company Competitive compensation Holistic perks program (including free therapy, employee wellness, and more) Excellent health, dental, and vision coverage 401k benefits with employer matching contribution The chance to build something that changes lives – and that people love Any piece of hardware or software that will make you happy and productive An awesome community of co-workers The base salary range for this position is $100,000 - $155,000 In addition to the base salary, this position is eligible for a performance bonus and the extensive benefits listed here (subject to eligibility requirements): Teladoc Health Benefits 2025. Total compensation is based on several factors – including, but not limited to, type of position, location, education level, work experience, and certifications. This information is applicable to all full-time positions. At BetterHelp we thrive on difference and individuality, and as part of the Teladoc Health family, we are proud to be an Equal Opportunity Employer. We never have and never will discriminate against any job candidate or employee due to age, race, ethnicity, religion, sex, color, national origin, gender, gender identity, sexual orientation, medical condition, marital status, parental status, disability, or Veteran status.

🏢 Summary: Senior Data Platform Engineer role focused on building and optimising a cloud-native lakehouse platform for large-scale analytics and reporting. The position involves designing distributed data pipelines, enabling self-service analytics, and implementing governance and observability frameworks using modern data technologies. You will work with Spark-based systems and integrated data warehousing solutions to deliver scalable, reliable data platforms. 🗂️ Requirements: Strong programming skills in Python, Strong programming skills in SQL, Hands-on experience with Apache Spark in production environments, Experience with Delta Lake and/or Apache Iceberg in production, Practical experience with dbt for data transformations, Experience with Databricks and Snowflake, Understanding of data governance and lineage in large-scale environments, Familiarity with Kubernetes and Docker, Experience with CI/CD and automated testing practices, Ability to participate in on-call rotations 📃 Skills: Python, SQL, Spark, Delta, Iceberg, dbt, Databricks, Snowflake, Kubernetes, Docker, CI/CD 🏢 Description: ABOUT THE COMPANY We are a global legal technology company that has been building software for the legal industry for over two decades. Our AI-powered cloud platform is used by leading law firms, Fortune 500 corporations, and government agencies worldwide to organise complex data, surface critical insights, and act on them — across litigation, investigations, regulatory inquiries, and data breach response. We're valued at $3.6 billion and invest over $170 million annually in R&D. We're making substantial investments in data lake technology and distributed systems to support future growth and advanced analytics. Our scale means the data problems here are genuinely hard — and the platforms you build will have real consequence across the organisation. ABOUT THE ROLE We're building a specialised team focused on enabling advanced analytics and reporting capabilities across our internal data ecosystem. As a Senior Data Platform Engineer, you'll combine strong software engineering principles with deep data expertise to build robust, cloud-native platforms that process large-scale datasets efficiently and enable internal teams to build reporting and analytics on top of them. The role emphasises cloud-native architecture, lakehouse integration, data warehousing, and governance best practices. You'll work on systems using Apache Spark, Delta Lake, and Iceberg, and help deliver curated data models and self-service analytics capabilities to internal stakeholders. You'll also participate in on-call rotations as part of shared team responsibility. WHAT YOU'LL WORK ON Data pipeline and distributed systems Design and implement scalable data pipelines and distributed systems using Spark and Python to process and transform large-scale datasets for analytics and reporting. Lakehouse platform development Develop and maintain lakehouse capabilities with Delta Lake and Iceberg, ensuring data reliability, versioning, and performance optimisation at scale. Analytics workflow enablement Integrate dbt for SQL transformations running on Spark. Collaborate with internal teams to deliver curated datasets and self-service analytics capabilities for reporting and advanced use cases. Data warehousing optimisation Integrate and optimise Databricks and Snowflake for scalable storage and query performance. Drive performance tuning and cost optimisation across Spark jobs and cloud-native environments. Governance and observability Implement observability and governance frameworks including data lineage, quality checks, and compliance controls. Build platforms that allow secure and compliant access to diverse data sources. Engineering best practices Apply and champion clean code, modular design, CI/CD, automated testing, and code review standards across all data engineering work. On-call participation Participate in on-call rotations as part of shared team responsibility for platform reliability. WHAT WE LOOK FOR Python and SQL Strong programming skills in both Python and SQL, applied to production data platform work at scale. Apache Spark Solid hands-on experience with Spark for distributed data processing, including performance tuning in production environments. Lakehouse architecture Expertise in Delta Lake and/or Apache Iceberg. You've applied these in production and understand the trade-offs in real-world scenarios. dbt and analytics tooling Practical experience with dbt for transformation workflows. Familiarity with Databricks and Snowflake for large-scale analytics workloads. Data governance and compliance Understanding of data governance, lineage tracking, and compliance requirements in large-scale, multi-tenant data environments. Infrastructure and containerisation Familiarity with Kubernetes, Docker, and infrastructure-as-code tools in cloud-native environments. Software engineering fundamentals Solid understanding of software engineering principles — CI/CD, automated testing, clean code, and modular design applied to data systems. Bonus Exposure to event-driven architectures and advanced analytics platforms. Experience enabling self-service analytics for internal stakeholders. Experience in Java, Scala, or Rust. THE TEAM You'll join a global engineering organisation working on a platform used by some of the world's largest legal teams. The culture is diverse, inclusive, and driven by high standards. Engineers here work on genuinely complex technical problems at scale — and are supported with the coaching, development, and tooling to keep growing. COMPENSATION & BENEFITS Salary 208,000 – 312,000 PLN per year, plus an annual performance bonus and long-term incentives. Health coverage Comprehensive health, dental, and vision plans. Parental leave Parental leave available for both primary and secondary caregivers. Flexible working Flexible work arrangements with a remote-first model. Company breaks Two week-long company-wide breaks per year, plus additional time off. Training investment Dedicated training investment programme to support ongoing professional development.

🏢 Summary: The Implementation Manager leads end-to-end client implementations across PBM and healthcare navigation services, owning project delivery from kickoff through transition to client success. The role focuses on managing cross-functional teams, coordinating data integrations, mitigating risks, and ensuring seamless client launches. It combines project management, healthcare domain expertise, and technical data integration capabilities with AI-enabled workflow optimization. 🗂️ Requirements: Bachelor's degree in Business Administration, Healthcare Management, Information Technology or related field (or equivalent experience), 2-5 years of project management experience in healthcare navigation or healthcare IT implementation, Strong understanding of PBM and/or healthcare navigation industry practices and regulatory considerations, Experience working with HR/Benefit Departments, brokers/consultants, TPAs, PEOs, and healthcare carriers, Ability to manage multiple complex projects simultaneously, Proficiency in project management tools (Smartsheet, Monday.com, Microsoft Project, Jira, Salesforce or similar), Experience setting up data feeds and integrations, Strong analytical and problem-solving skills, Excellent written and verbal communication skills, Familiarity with AI productivity tools and applying them in workflows 📃 Skills: Smartsheet, Monday.com, MicrosoftProject, Jira, Salesforce, Excel, AI, DataIntegration, ProjectManagement, PBM, HealthcareIT 🏢 Description: ABOUT THE ROLE: The Implementation Manager is responsible for leading end-to-end client implementations across PBM and/or Navigation service lines. This role owns the full lifecycle from kickoff to successful transition into ongoing client success, driving timelines, coordinating cross-functional teams, managing client expectations, and ensuring every implementation is executed with precision and care. As an Implementation Manager, you are often the first real experience a client has with the services. This entails arriving prepared, engaging in proactive communication, and addressing risks before clients become aware of them. You will collaborate closely with Client Success, Navigation Operations, Service Delivery, Data Engineering, Data Operations, and other internal teams to ensure that every client launch proceeds seamlessly, even if challenges arise. WHAT YOU'LL DO: Project Planning and Execution - Own end-to-end project management for multiple concurrent client implementations across PBM and/or Navigation service lines. - Develop and maintain detailed project plans, milestone-tracking, and change-control procedures. - Facilitate kickoff meetings, regular status calls, and cross-functional coordination to keep implementations on schedule. - Manage the transition from implementation state to steady-state client success with thorough handoff documentation. Client and Stakeholder Management - Serve as the primary point of contact for clients throughout the implementation phase. - Set and manage client expectations with clear, proactive communication on project status, risks, and next steps. - Provide Commercial and Client Success teams with implementation support, including direct coordination with client contacts and third-party vendors. - Provide ongoing internal stakeholder support as the subject matter expert for implementation, offering best practices and historical context as needed. - Conduct post-implementation reviews and lessons-learned sessions to drive continuous improvement. Risk Management and Problem Solving - Proactively identify implementation risks and develop mitigation strategies before they become client-impacting issues. - Monitor project progress across workstreams and make real-time adjustments to keep timelines intact. - Escalate and report critical milestones, blockers, and client satisfaction indicators to leadership. Documentation and Reporting - Document business requirements, project plans, and implementation decisions with a high standard of accuracy. - Prepare and present clear status reports and performance updates for internal leadership. - Ensure all implementation artifacts are maintained for compliance, audit, and future reference. Technical Proficiency - Set up data integrations with benefit administrators, TPAs, EPOs, carriers, and more. - Work closely with the data and engineering team to improve systems and processes used during the implementation process. - Provide ongoing internal and external technical support on implementations in-flight and provide historical support as needed. AI-Enabled Workflows - Actively incorporate AI tools into daily workflow, from project documentation and status reporting to client communication drafting and data summarization. - Contribute to evolving approaches to AI adoption in implementation workflows and share learnings and best practices with the broader team. - Leverage AI-assisted tools to synthesize complex implementation data, accelerate documentation tasks, and surface risks earlier in the project lifecycle. WHO YOU ARE: - Bachelor's degree in Business Administration, Healthcare Management, Information Technology, or a related field (or equivalent experience). - 2-5 years of project management experience, preferably in healthcare navigation or healthcare IT implementation. - Strong understanding of PBM and/or healthcare navigation industry practices, workflows, and regulatory considerations. - Experience working with HR/Benefit Departments, brokers/consultants, TPAs, PEOs, and healthcare carriers. - Strong analytical and problem-solving skills with sharp attention to detail. - Demonstrated ability to manage multiple complex projects simultaneously in a fast-paced environment. - Excellent communication skills, written and verbal, with the ability to interact confidently with clients, vendors, and senior leadership. - Proficiency in project management tools such as Smartsheet, Monday.com, Microsoft Project, Jira, Salesforce, or similar platforms. - Technical proficiency in setting up data feeds and Excel experience is a plus. - Familiarity with AI productivity tools and demonstrated interest in incorporating them into operational workflows. COMPENSATION: $100,000-125,000 annually, in addition to bonus and equity. Compensation offered will be determined by geographic location, experience, and qualifications.