Senior Analytics Engineer

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

📋 Description

• Transfer derived data points from development through QA into production, which includes defining logic and necessary tests.

• Develop data methodology and logic for episode triggers, provider attribution, cost standardization, as well as quality measure numerators, denominators, and exclusions.

• Oversee and enhance Clarify's reference data library, encompassing mappings for physician and facility affiliations, codesets, derivative mappings, geographic information, and service-line categories.

• Utilize reconciliation SQL, conduct version-over-version comparisons, and perform impact analysis to validate data.

• Implement ongoing data-test coverage, baseline comparisons, and completeness thresholds.

• Execute data refresh and delivery schedules for customer environments post-ingestion.

• Analyze test failures to identify root causes in collaboration with engineering, and pass validated groupings to data science and product teams.

• Define the scope of feature requests from product, clinical informatics, and customer teams.

• Draft specifications and acceptance criteria, determine ownership, and monitor features through to release.

• Address cross-team methodology decisions pertaining to attribution logic, referral definitions, and provider reference data.

• Evaluate AI-assisted tooling output against source data and set appropriate review standards.

⛳️ Requirements

• Bachelor's degree in a quantitative, technical, or health-related discipline, or equivalent practical experience.

• At least five years of experience in data analysis, healthcare analytics, or a similar data-intensive role.

• Proficient in advanced SQL.

• Familiarity with the AWS ecosystem.

• Experience with leading AI models, particularly in their application for code development.

• Understanding of healthcare data, including claims, provider or network data, and healthcare claim codes.

• Experience managing data in a production environment, including scheduled table refreshes, downstream dependencies, and quality assurance prior to release.

• Ability to clearly write specifications, acceptance criteria, and decision records.

• Preferred: Expertise in a healthcare domain such as episode grouping, risk adjustment, quality measurement, or provider and network reference data, including CMS or NCQA measure specifications, clinical value sets, or HL7, FHIR, and X12.

• Preferred: Experience with BI and dashboarding tools.

• Preferred: Regularly conducted data quality checks.

• Preferred: Proficiency in Python/PySpark.

🏝️ Benefits

• Competitive compensation package (base salary + bonus + equity).

• Comprehensive health insurance coverage.

• Traditional 401K retirement plan.

• Vision, dental, disability, and life insurance options.

• Flexible Spending Accounts and commuter benefits.

• Generous paid time off (PTO).

• Flexibility in work arrangements.

• Monthly stipend for work-from-home expenses.

• Remote-friendly environment.

• A collaborative workplace that challenges you and celebrates your contributions.

• Opportunities to learn from and with interesting and enthusiastic colleagues.