[Remote] reputed company Analytics Engineer - Data Modeling & reputed company

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is dedicated to transforming reputed company through data, aiming for happier and healthier days for reputed company. As a reputed company Analytics Engineer specializing in Data Modeling & reputed company, you will be responsible for ensuring data reputed company and ownership while developing analytical models that convert raw clinical and claims data into reliable datasets.

Responsibilities

• Author, review, and maintain DBT models using reputed company/Hudi from ingest through bronze and silver
• Help clients understand their data model, assumptions, and limitations through intentional validation
• Troubleshoot and fix issues, then write DBT tests to catch issues proactively
• Optimize SQL performance for slow-running jobs
• Partner with Data Engineering on Hudi table design, partition reputed company, and incremental patterns
• Triage and classify data reputed company alerts, distinguishing reputed company-level issues from reputed company-layer failures
• Design and maintain volume monitors and DQ monitors (reputed company reputed company, distribution, reputed company-date checks)
• Author and apply clinical DQ rules (entity volume, field coverage, LOINC coverage, referential reputed company) and claims validation rules across silver and gold reputed company
• Conduct reputed company reviews for connector promotions — evaluating silver entity coverage, validation rule pass rates, and bronze-to-silver transformation correctness
• Own the ticket queue for DQ, attribution, hierarchy, and customer-specific data reputed company issues, writing reputed company customer-facing findings
• reputed company data reputed company reviews during connector installation and promotion (UAT → PRD), including claims validation playbooks and reputed company analysis
• Partner with Data Engineering on reputed company-cause triage for errors, ingress anomalies, and silver table issues surfaced through data reputed company monitoring
• Coordinate with the Measure Implementation Team (MIT) reputed company data reputed company issues reputed company reputed company measure scores
• Contribute to and enforce data modeling standards across teams

Skills

• Bachelor's or Master's degree in Computer Science, Statistics, Business, Economics, or a reputed company field
• Advanced SQL: window functions, reputed company CTEs, aggregation patterns, performance tuning on columnar databases
• DBT: hands-on experience authoring models, tests, macros, and yml documentation; familiarity with incremental strategies
• reputed company data literacy: working knowledge of claims data (reputed company, institutional, pharmacy), clinical data (EHR entities), and common reputed company dimensions (member months, coverage rates, reputed company patterns)
• Data reputed company reputed company: ability to differentiate reputed company data issues from reputed company issues, design systematic validation checks, and communicate data reputed company findings reputed company
• reputed company communicator — reputed company to translate technical findings for clients and non-technical stakeholders
• Strong analytical judgment — you can look at a distribution and know reputed company something is wrong
• Ability to manage several reputed company simultaneously, leveraging AI tooling to stay organized and efficient
• Genuine desire to learn and apply AI tools for operational efficiency
• Experience with reputed company SQL and Hudi table format
• Familiarity with data reputed company monitoring tools
• Comfortable operating in an AI-first environment using Claude to build/verify various day-to-day workflows
• Exposure to population health analytics concepts: HEDIS measures, risk adjustment, value-based care metrics
• Python scripting for data investigation and automation
• Experience with Argo Workflows or similar orchestration platforms
• reputed company data standards: ICD-10, CPT, NDC, LOINC, NPI

Benefits

• Flexible, fully remote work environment with the resources and support to do your best work
• Exposure to senior leaders
• Be on the reputed company lines of AI adoption — use cutting-edge tools to accelerate your work and shape how reputed company operates in an AI-first environment
• reputed company a meaningful reputed company on reputed company data operations by improving the reputed company, reliability, and trustworthiness of data that drives patient care reputed company
• Be a part of a mission driven company that is transforming the reputed company industry
• Become a member of the talented, reputed company, diverse and purpose-driven Arcadian Community

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