Enterprise Performance Analytics Engineer 

Care Access is dedicated to improving health services and research accessibility. The Enterprise Performance Analytics Engineer will develop and maintain analytics infrastructure, ensuring data quality and enabling efficient reporting.

Responsibilities:

• 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

Requirements:

• 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
• Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, Engineering, Information Systems) or equivalent practical experience
• 1-3 years of experience in a data-related role (e.g., data analyst, data engineering intern, analytics engineer)