Analytics Engineer II - Health Equity Analytics

Under the direction of Data & Analytics Engineering leadership, the Analytics Engineer II will own and operationalize analytics products that advance health equity operational, quality, and research initiatives. The successful candidate will bring deep expertise in applying statistical and analytical methods, including regression modeling, hypothesis testing, survival analysis, risk adjustment, and other epidemiological techniques, to translate complex clinical, operational, and research questions into actionable insights and measurable outcomes. They will leverage strong SQL, Python, and analytics engineering skills to design and maintain semantic layers, data marts, metrics stores, and self-service analytics solutions while ensuring data quality, governance, and reproducibility. This individual will partner closely with clinical, operational, and business stakeholders to transform EHR, research, financial, and supply chain data into trusted, scalable analytics products that support, Core Responsibilities:

• Prepare and model analytically ready datasets; implement and maintain semantic layers, metrics stores or data marts; apply data engineering best practices to analytics (version control, CI/CD, environment management); collaborate with BI analysts, data scientists and domain stakeholders to operationalize analytics products; ensure alignment with governance and data quality requirements

Level Specific Requirements:

• Design and implement semantic layer components (metrics store objects, analytical models, data marts) to support domain KPIs and BI consumption
• Implement automated testing, CI/CD pipelines and deployment promotion for analytics products; own environment management for domain artifacts
• Lead data quality monitoring for analytics products and collaborate with data stewards to remediate issues; maintain metadata and lineage in the catalog
• Optimize query and semantic performance for BI tools; implement best practices to reduce dashboard sprawl and inconsistent metrics
• Collaborate with clinical and operational stakeholders to translate clinical workflows and EHR/ERP data into repeatable analytics products (e.g., procedure-level cost and outcomes dashboards, inventory visibility reports)
• Domain collaboration (e.g. clinical, financial, or supply chain), stakeholder facilitation and problem-solving skills
• Ability to translate business KPIs into reproducible metrics-as-code and communicate technical concepts to a wide range of stakeholders
• Ability to mentor junior engineers

Healthcare domain considerations:

• Work with EHR/clinical data and supply-chain/ERP data sources, follow interoperability expectations (FHIR/HL7 awareness for clinical integrations), support clinical analytics use cases (procedural analytics, outcomes measurement, preference card analytics) and supply-chain analytics (spend, contract, inventory visibility) when relevant

Engineering practices to measure and apply:

• Version control of analytics content, separate dev/test/prod environments, workflow orchestration, metadata/cataloging and performance testing to improve model uptime, adoption, code quality and defect resolution

Governance & risk:

• Adhere to organizational data governance, privacy and security requirements (e.g., HIPAA-relevant controls), and collaborate with governance or ARB where analytics/AI artifacts will be used in clinical or high-risk contexts

decision-making, outcomes measurement, disparities analysis, and performance improvement efforts. The ideal candidate combines rigorous scientific and research-oriented thinking with modern engineering practices such as version control, CI/CD, automated testing, metadata management, and environment promotion, while serving as an effective communicator who can translate technical concepts for diverse audiences and mentor junior team members. Candidates who have demonstrated success in research activities, publications, presentations, health services research, or population health programs, along with the ability to connect analytics solutions to tangible healthcare impact, will be particularly well-suited for this role. The strongest candidates will demonstrate both advanced healthcare analytics expertise and the ability to operationalize analytics at scale., * At least 3 years In analytics/data roles with demonstrated delivery of analytics artifacts, experience with dbt or other analytics engineering tools, and hands-on CI/CD and orchestration tool usage. Required

• At least 3 years Advanced SQL, dbt or equivalent transformation frameworks, familiarity with metrics store concepts and knowledge-graph/ontology basics for semantic enrichment where applicable Required
• At least 3 years Ability to implement CI/CD for analytics, automated testing, environment promotion and metadata/catalog integration Required
• At least 3 years Proficiency with at least one cloud data platform (Snowflake, Databricks, MS Fabric) and BI tool optimizations (Power BI/Tableau performance tuning) Required
• At least 1 year Exposure to machine learning, data science, or artificial intelligence concepts Preferred
• At least 1 year Experience working in healthcare or other regulated industry Preferred, * Four-year Bachelor’s degree or equivalent experience in Computer Science, MIS, Engineering, or related field Required, * Analytics related certifications (e.g. Dbt Analytics Engineering, Microsoft Fabric Analytics Engineer Associate, Snowflake SnowPro, Databricks, Epic Cogito) or a learning plan requirement to be provided with offer includes missing relevant certifications needed to perform role, and certifications must be obtained within 180 days of starting first class Required

We put our people first. We welcome, value, and respect the beliefs, identities and experiences of our patients and colleagues. We are committed to delivering culturally effective care, creating meaningful partnerships in the communities we serve, and equipping and developing our team members to make Children’s Health a place where everyone can contribute.

Holistic Benefits - How We’ll Care for You:

• Employee portion of medical plan premiums are covered after 3 years.

• 4%-10% employee savings plan match based on tenure

• Paid Parental Leave (up to 12 weeks)

• Caregiver Leave

• Adoption and surrogacy reimbursement

At Children’s Health, our mission is to Make Life Better for Children, and we recognize that their health plays a crucial role in achieving this goal.

Through our cutting-edge treatments and affiliation with UT Southwestern, we strive to deliver an extraordinary patient and family experience, ensuring that every moment, big or small, contributes to their overall well-being.

Our dedication to promoting children’s health extends beyond our organization and encompasses the broader community. Together, we can make a significant difference in the lives of children and contribute to a brighter and healthier future for all.