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Product Analytics, Senior Associate
athenahealth
Austin, UAE
Full Time
Mid
Hybrid
4 weeks ago
SQLPythonTableauPower BILookerSigma
Free
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About the Role
athenahealth is seeking a Product Analytics Senior Associate to partner with Product Management, UX, and Engineering to evaluate feature performance and support prioritization decisions.
Key Skills for This Role
SQLPythonTableauPower BILookerSigma
Responsibilities
- Partner with Product Managers to define success metrics and measurement frameworks for product initiatives
- Query user, transaction, and behavioral data to support product analysis and decision making
- Design and maintain dashboards and report cards that track feature and product performance
- Analyze experiment results and provide clear recommendations for next steps
- Standardize metrics and data assets, and identify gaps in coverage or consistency
- Build trusted working relationships with cross functional product teams and stakeholders
- Use AI tools to speed up analysis, drafting, and quality checks while validating outputs against source data
- Support ad hoc analysis requests related to product performance and market trends
- Work with Product Managers and data consumers to understand business requirements and translate them into effective star schema data models
- Develop fact and dimension tables in our Analytics Data Warehouse (ADW) following established design patterns and standards
Requirements
- Bachelor’s degree required; degree in a quantitative field such as Data Science, Computer Science, Statistics, or Information Systems preferred
- 3+ years of professional experience, including 2–3 years in data analytics or data science
- Strong SQL skills with experience writing production level queries
- Proficient with SQL optimization techniques to ensure performance at scale
- Ability to translate complex business requirements into well structured data models
- Python proficiency required
- Experience using AI assisted development tools to accelerate analysis, automate workflows, and improve code quality
- Experience building dashboards and self service analytics in tools such as Tableau, Power BI, Looker, or Sigma
- Experience with time series analysis, cohort analysis, benchmark development, and applied statistical methods
- Experience presenting analytical findings to stakeholders at multiple levels of the organization
- Ability to document methods, assumptions, and data lineage to support reproducible analyses
- Healthcare data experience and familiarity with value based care concepts preferred
Full Job Posting
Position Summary
- Turn product data into clear decisions that improve outcomes for customers and internal teams.
- The Product Analytics Senior Associate partners with Product Management, UX, and Engineering to evaluate feature performance, measure the impact of product strategies, and support prioritization decisions.
- This role develops KPI frameworks, leads in depth analyses, and translates complex healthcare data into clear recommendations for product leadership.
Essential Job Responsibilities
- Partner with Product Managers to define success metrics and measurement frameworks for product initiatives.
- Query user, transaction, and behavioral data to support product analysis and decision making.
- Design and maintain dashboards and report cards that track feature and product performance.
- Analyze experiment results and provide clear recommendations for next steps.
- Standardize metrics and data assets, and identify gaps in coverage or consistency.
- Build trusted working relationships with cross functional product teams and stakeholders.
- Use AI tools to speed up analysis, drafting, and quality checks while validating outputs against source data and applying sound judgment before sharing results.
- Support ad hoc analysis requests related to product performance and market trends.
- Work with Product Managers and data consumers to understand business requirements and translate them into effective star schema data models that serve as a source of truth for the organization.
- Develop fact and dimension tables in our Analytics Data Warehouse (ADW) following established design patterns and standards.
Additional Job Responsibilities
- Contribute to data pipeline improvements, documentation, and analytics governance.
- Participate in stakeholder meetings to clarify requirements and align on analytic approach.
- Help maintain data quality checks and monitoring across analytic systems.
- Support reproducible analysis practices by documenting methods, assumptions, and data lineage.
- Assist with interpretation of trends, benchmarks, and performance patterns as needed.
Expected Education & Experience
- Bachelor’s degree required; degree in a quantitative field such as Data Science, Computer Science, Statistics, or Information Systems preferred.
- 3+ years of professional experience, including 2–3 years in data analytics or data science.
- Strong SQL skills with experience writing production level queries.
- Proficient with SQL optimization techniques to ensure performance at scale.
- Ability to translate complex business requirements into well structured data models.
- Python proficiency required.
- Experience using AI assisted development tools to accelerate analysis, automate workflows, and improve code quality.
- Experience building dashboards and self service analytics in tools such as Tableau, Power BI, Looker, or Sigma.
- Experience with time series analysis, cohort analysis, benchmark development, and applied statistical methods.
- Experience presenting analytical findings to stakeholders at multiple levels of the organization.
- Ability to document methods, assumptions, and data lineage to support reproducible analyses.
- Healthcare data experience and familiarity with value based care concepts preferred.
Expected Compensation
- $81,000 $139,000 base salary range.
- Base pay depends on multiple factors, including job related experience, relevant knowledge and skills, how qualifications compare to others in similar roles, and geographical market rates.
- We offer both short and long term incentives by way of an annual discretionary bonus plan, variable compensation plan, and equity plans.
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