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:

50% - Maintain, Analyze, and Execute on Analytics Based Projects

• 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

30% - Project Execution and Stakeholder Support

• 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

20% - Process Improvement and Knowledge Sharing

• 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

The impact you’ll see

• Reduce manual administrative effort for Product Operations teams by 20 % – 35 % through well-targeted automations

• Speed up decision cycles by replacing one-off slide decks with standardized, self-serve dashboards that refresh automatically

• Increase leadership’s confidence in data by delivering transparent lineage, automated quality checks, and clear narrative explanations

• Streamline tool ecosystems such as Jira, Workday, and Snowflake so teams can focus on building outstanding products instead of managing fields and forms

 

Expected Compensation

$56,000 - $96,000

The base salary range shown reflects the full range for this role from minimum to maximum. At athenahealth, base pay depends on multiple factors, including job-related experience, relevant knowledge and skills, how your qualifications compare to others in similar roles, and geographical market rates.  Base pay is only one part of our competitive Total Rewards package - depending on role eligibility, we offer both short and long-term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.