Enterprise Performance Analytics Engineer
Confirmed live in the last 24 hours
Care Access
Compensation
$80,000 - $110,000/year
Job Description
About Care Access
Care Access is working to make the future of health better for all. With hundreds of research locations, mobile clinics, and clinicians across the globe, we bring world-class research and health services directly to communities that often face barriers to care. We are dedicated to ensuring that every person has the opportunity to understand their health, access the care they need, and contribute to the medical breakthroughs of tomorrow.
With programs like Future of Medicine, which makes advanced health screenings and research opportunities accessible to communities worldwide, and Difference Makers, which supports local leaders to expand their community health and wellbeing efforts, we put people at the heart of medical progress. Through partnerships, technology, and perseverance, we are reimagining how clinical research and health services reach the world. Together, we are building a future of health that is better and more accessible for all.
To learn more about Care Access, visit www.CareAccess.com.
How This Role Makes a Difference
The Enterprise Performance Analytics Engineer will support the development and maintenance of our analytics infrastructure, working closely with the data analysts, data engineers, and business stakeholders. This role is responsible for building and maintaining foundational data models, ensuring data quality, and enabling efficient and reliable reporting.
How You'll Make An Impact
- Design, build and maintain data pipelines, data marts, and other data components needed for the data analytics team.
- Transform data into well-documented, tested, and trusted datasets for analysis and reporting.
- Collaborate with data analysts and stakeholders to understand data needs and implement models that support dashboards, KPIs, and deep-dive analyses.
- Help monitor data pipeline performance and resolve data quality issues proactively.
- Contribute to documentation of data models, definitions, and data lineage.
- Stay current with modern data stack tools and techniques and apply learning to support data team initiatives.
- Provide ad hoc and regular cadence analytics and reporting that supports current goals and business initiatives
- Provide business support to the operations team as needed and interface with strategic customers when required
The Expertise Required
- Proven analytical and organizational skills to meet deadlines in an environment of often-changing priorities, conceptual thinker comfortable with ambiguity
- Proficiency in SQL and data warehousing concepts
- Understanding of data modeling concepts
- Exposure to modern data stack tools
- Understanding of version control systems
- Understanding of ETL/ELT processes and data pipeline concepts.
- Ability to work effectively with data analysts, engineers, and business stakeholders to understand requirements and deliver usable data assets.
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