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Care Access · 18 hours ago

Enterprise Performance Analytics Engineer 

United States

Full-time

Remote

Entry, Mid Level

$80K/yr - $110K/yr

1+ years exp

Care Access is dedicated to improving health services and research access globally. The Enterprise Performance Analytics Engineer will support the analytics infrastructure by building data models, ensuring data quality, and providing reporting for business initiatives.

Clinical TrialsHealth Care

No H1B

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

Qualification

SQLData warehousingData modelingETL/ELT processesModern data stack toolsVersion control systemsAnalytical skillsOrganizational skillsCollaboration

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

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)