Senior Analytics Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and sustain production-ready data models and semantic layers utilizing advanced SQL and best practices in analytics engineering.

• Ingest and integrate payer claims, attribution rosters, quality measure extracts, EMR/clinical data, and operational logs.

• Execute quick-turnaround ad-hoc SQL queries and conduct in-depth analyses to address operational, clinical, and financial inquiries.

• Establish and standardize business metrics for practice operations, provider utilization, clinical quality measures, and Value-Based Care performance.

• Collaborate with IT, Operations, Clinical Support, and Payer Relations to collect requirements and translate operational needs into technical logic.

• Perform automated data validation, quality assurance testing, and performance tuning of data warehouse queries and transformation jobs.

• Act as an internal subject matter expert on data structures, clinical workflows, and payer data layouts.

• Assist non-technical teams in accurately interpreting the underlying data.

• Document data models, logic definitions, and data flow pipelines.

• Work together with BI teams to ensure transparency and consistency across enterprise analytics.

• Undertake additional duties as assigned.

⛳️ Requirements

• Bachelor's degree in Healthcare Analytics, Data Science, Computer Science, Health Informatics, Information Systems, or a related quantitative field is preferred, or equivalent practical experience.

• Over 3 years of professional experience in Healthcare Analytics, Analytics Engineering, or Business Intelligence within a provider group, health system, payer, or healthcare technology environment.

• Strong domain knowledge in payer claims data, including medical, pharmacy, eligibility, and attribution data.

• Strong domain knowledge in EMR/clinical data, such as Athenahealth, Epic, or Cerner.

• Expert-level advanced SQL skills, including complex queries, multi-table JOINs, CTEs, window functions, query optimization, and data transformation routines.

• Familiarity with analytics engineering workflows and tools such as dbt, Python/Pandas, Git/version control, Snowflake, MS SQL Server, BigQuery, and Excel.

• Understanding of healthcare operational metrics and Value-Based Care concepts, including risk scores/HCC, quality metrics, and shared savings calculations.

• Capability to function in an agile, fast-paced environment while managing long-term engineering projects alongside rapid ad-hoc query requests.

• Strong interpersonal and communication skills, particularly in conveying technical data modeling concepts to operational and clinical stakeholders.

• Remote workers are required to have minimum internet speeds of 5 MBPS download and 3 MBPS upload.

🏝️ Benefits

• Annual bonus targeted at 15%.

• Medical insurance.

• Dental insurance.

• Vision insurance.

• Life insurance.

• Pet insurance.

• 401K.

• Paid time off.

• Wellness programs.

• Remote work.

• Expense reimbursement for employees who regularly work from home offices.