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.

Enterprise Performance Analytics Engineer

Analytics EngineerAnalytics EngineerFull TimeRemoteTeam 818Company Site

Location

United States

Posted

68 days ago

Salary

$80K - $110K / year

SQLData WarehousingData ModelingEtl/eltData PipelinesVersion Control

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

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.

Qualifications

  • 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.

Requirements

  • 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).

Benefits

  • Paid Time Off (PTO) and Company Paid Holidays.
  • 100% Employer paid medical, dental, and vision insurance plan options.
  • Health Savings Account and Flexible Spending Accounts.
  • Bi-weekly HSA employer contribution.
  • Company paid Short-Term Disability and Long-Term Disability.
  • 401(k) Retirement Plan, with Company Match.

Job 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).

Benefits

  • Paid Time Off (PTO) and Company Paid Holidays.
  • 100% Employer paid medical, dental, and vision insurance plan options.
  • Health Savings Account and Flexible Spending Accounts.
  • Bi-weekly HSA employer contribution.
  • Company paid Short-Term Disability and Long-Term Disability.
  • 401(k) Retirement Plan, with Company Match.

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