Product Analytics, Associate

Join us as we work to create a thriving ecosystem that delivers accessible, high-quality, and sustainable healthcare for all.

Position Summary:

As an Analytics Associate, you will be a hands-on builder who helps transform ideas into production-ready tools. Working closely with an Analytics Manager, you will contribute to projects end-to-end, developing dashboards, web applications, and automated data checks that give stakeholders answers in minutes instead of days. The role follows an office-first hybrid model and requires < 10 percent travel.

About the Team:

Product Operations is streamlining every stage of the Product Lifecycle by automating manual tasks, tightening data quality, and speeding up insight delivery.

Essential Job Responsibilities:

• Prototype, refine, and deploy automated analytics pipelines powered by LLM; auto-generate analyses, stakeholder summaries, and enriched metadata with minimal manual touch

• Support retrieval-augmented generation pipelines where needed, and publish dashboards that blend fresh metrics with concise narrative commentary

• Track accuracy, response time, and cost per insight; partner with the Analytics Manager to roll out incremental, data-driven improvements that keep raising quality while controlling spend

• Meet with product owners, engineers, and operations partners to translate business questions into technical requirements

• Support sprint planning, manage Jira tasks, and hit deadlines with manager support, flagging risks early and often

• Provide best-practice guidance on data modeling, visualization, and prompt engineering, so stakeholders get maximum value from every deliverable

• Document solutions thoroughly and support knowledge-transfer sessions to ensure long-term adoption

Additional Job Responsibilities:

• Review current team and wider Product Operations workflows to pinpoint friction and redundancy

• Draft proposals that show how AI automations or data-model tweaks will save time and improve accuracy; share findings with leadership with support from the Analytics Manager

• Build quick-start guides, lunch-and-learn decks, and short video demos so colleagues can confidently use new tools

• Stay on top of emerging Snowflake Cortex and Windsurf/Codex capabilities, experimenting early and socializing wins across the team

Expected Education & Experience:

• 2 to 4 years of professional analytics or data-engineering experience in a corporate environment

• Exposure to writing production Python or R

• Hands-on exposure to Natural Language Processing or Large Language Models, either in coursework or live deployments

• Experience designing stakeholder-facing dashboards and maintaining scalable API integrations is highly valued

• Excellent communicator, thoughtful team player, highly adaptive, and a strong sense of personal integrity

• Experience building with GPT, Gemini, Claude or similar; prompt-engineering best practices; exposure to evaluating hallucination, bias, and safety

• Strong SQL, Snowflake, Power BI/Tableau; ability to weave model outputs directly into dashboards and data products

• Familiarity with Python, PowerShell, or JS for orchestrating APIs, vector databases, and CI/CD; enthusiasm for turning ad-hoc analysis into repeatable, self-service tooling

• Capable of framing complex AI concepts in plain language; supports stakeholder storytelling and change management

• Comfortable supporting rapid A/B tests, establishing offline/online evaluation metrics, and iterating quickly with guidance

• Can help codify new processes, create training assets, and support teams to adopt AI-augmented workflows

• Willingness to learn and expand knowledge every day through independent learning and digging into challenging problems

• Passionate about contributing to teams and developing solutions for others to follow

• Able to intake business questions, identify solutions, and assist operational teams with execution to achieve goals

• Ability to build strong cross-functional relationships; excited about working with others through change

• Professional attitude, comfortable working in a corporate setting populated by diverse types of people

• Demonstrated ability to influence through data backed recommendations, with support from senior team members

• Bias toward action, curiosity, and self-directed learning

 

Expected Compensation

$56,000 - $96,00