Product Analytics, Senior Associate

athenahealth•Boston, MA

5d•$73,000 - $125,000•Hybrid

About The Position

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 Senior 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.

Requirements

Excellent communicator, thoughtful team player, highly adaptive, and a strong sense of personal integrity
Proven track record building with GPT, Gemini, Claude or similar; prompt-engineering best practices; experience 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; excels at stakeholder storytelling and change management.
Comfortable designing rapid A/B tests, establishing offline/online evaluation metrics, and iterating quickly.
Can codify new processes, create training assets, and mentor 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
Proven ability to influence without authority—guiding senior level stakeholders through data backed recommendations.
Bias toward action, curiosity, and self-directed learning.
3 to 5 years of professional analytics or data-engineering experience in a corporate environment.
At least 1 year writing production Python or R.
Hands-on exposure to Natural Language Processing or Large Language Models, either in coursework or live deployments.

Nice To Haves

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

Responsibilities

Maintain, Analyze, and Execute on Analytics Based Projects Prototype, refine, and deploy automated analytics pipelines powered by OpenAI, Azure OpenAI, Claude, or Gemini; auto-generate analyses, stakeholder summaries, and enriched metadata with zero manual touch
Design 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; 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.
Plan sprints, manage Jira tasks, and hit deadlines with minimal oversight, 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 deliver knowledge-transfer sessions to ensure long-term adoption.
Review current team and wider Product Operations workflows to pinpoint friction and redundancy.
Draft detailed proposals that show how AI automations or data-model tweaks will save time and improve accuracy; present findings to leadership for buy-in.
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 capabilities, experimenting early and socializing wins across the team.

Benefits

Along with health and financial benefits, athenistas enjoy perks specific to each location, including commuter support, employee assistance programs, tuition assistance, employee resource groups, and collaborative workspaces — some offices even welcome dogs.
We also encourage a better work-life balance for athenistas with our flexibility.
While we know in-office collaboration is critical to our vision, we recognize that not all work needs to be done within an office environment, full-time.
With consistent communication and digital collaboration tools, athenahealth enables employees to find a balance that feels fulfilling and productive for each individual situation.
In addition to our traditional benefits and perks, we sponsor events throughout the year, including book clubs, external speakers, and hackathons.
We provide athenistas with a company culture based on learning, the support of an engaged team, and an inclusive environment where all employees are valued.

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