Data Risk Analyst
Why This Role Stands Out
This hybrid Data Risk Analyst role at Cliff Services Inc offers a fantastic opportunity to leverage your advanced analytical skills in SQL, Python, R, or SAS to optimize revenue and ensure regulatory compliance within the healthcare sector. You'll thrive here if you enjoy diving deep into complex datasets, collaborating with diverse teams, and contributing to impactful financial forecasting, all while enjoying the flexibility of a hybrid work environment. Apply today to join a dynamic team and advance your career in data risk analysis!
Quick Overview
Job Description
Data Risk Analyst
Location : Phoenix , AZ
Please find the JD Below
The Risk Adjustment Analyst serves as a data and strategic specialist who tracks health plan performance and financial risk By using advanced coding methodologies and data extraction tools they bridge the gap between clinical documentation and actuarial health forecasting Their overarching goal is to maintain absolute regulatory compliance while optimizing organizational revenue
Must Have
Data Analysis Modeling Gather clean and consolidate financial claims pharmacy enrollment and premium datasets into actionable models
Risk Score Calculation Analyze diagnostic patterns to calculate Risk Adjustment Factors RAF and forecast financial impacts using clinical metrics
Coding Quality Compliance Maintain deep familiarity with medical terminologies ICD10CM coding and Hierarchical Condition Categories HCC to isolate coding discrepancies or revenue gaps
Audit Support Provide backend reporting and data validation to assist with internal quality checks and federal Risk Adjustment Data Validation RADV audits
Crossfunctional Collaboration Partner with clinical providers to deliver Documentation Improvement CDI training ensuring that medical charts comprehensively capture a patients overall disease burden
Reporting Dashboards Design custom automated dashboards and adhoc financial plans to report risk trends directly to executive leadership
Skills Advanced proficiency in SQL for relational databases paired with statistical modeling in Python SAS or R
Nice to Have
Healthcare experience
Soft Skills
1 Strong communication and interpersonal skills
2 Good analytical and problemsolving skills
Skills
Mandatory Skills : Dimensional Data Modeling, MS SQL Server, Python for DATA, R - Data Science, SAS-Data Integrator
Good to Have Skills : Statistics-Data Science
Skills
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