Senior Data Analyst – Post Payment Analytics

Ibility LLC

. Analyze large and complex healthcare claims datasets to support post-payment analytics, payment integrity initiatives, and program objectives.

Posted 7/14/2026full-timeRemote • District of Columbia, Washington • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in analyzing healthcare claims data and developing analytical solutions using Databricks, with a strong focus on data integrity, governance, and actionable insights for decision-making. Proven ability to collaborate with cross-functional teams and communicate complex findings effectively to diverse stakeholders.

Highest-signal resume keywords

Databricks DevelopmentHealthcare Claims Data AnalysisData VisualizationData Governance PrinciplesAnalytical Problem-Solving

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsData AnalysisBusiness IntelligenceData Quality ManagementStatistical Analysis

Soft Skills

Excellent Communication SkillsCollaborationProblem-SolvingTime Management

Tools & Technologies

Analytics ToolsDashboardsReportsVisualizations

Industry Keywords

Payment IntegrityPost-Payment AnalyticsOperational ImprovementData IntegrityClient-Focused Environment

About the role

Key responsibilities & impact

Analyze large and complex healthcare claims datasets to support post-payment analytics, payment integrity initiatives, and program objectives.
Develop, maintain, and optimize analytical datasets, reports, dashboards, and visualizations using Databricks and other analytics tools to support business and operational needs.
Collaborate with program managers, functional leads, technical teams, and government clients to gather, interpret, and translate business requirements into actionable analytical solutions.
Perform advanced data analysis to identify payment trends, anomalies, overpayments, and opportunities for operational improvement while ensuring data accuracy and integrity.
Validate, reconcile, and monitor healthcare claims data to ensure consistency, completeness, and compliance with established data governance standards.
Provide analytical expertise and recommendations to stakeholders by presenting findings, communicating insights, and supporting data-driven decision-making.

Requirements

What you’ll need

Bachelor's degree in Data Analytics, Computer Science, Information Systems, Healthcare Informatics, Statistics, Mathematics, or a related field. Equivalent combination of education and relevant experience may be considered.
Minimum of 4 years of experience performing data analytics, data analysis, or business intelligence activities.
Minimum of 3 years of hands-on experience developing analytical solutions using Databricks.
Demonstrated experience working with healthcare claims data, including the analysis, validation, and interpretation of large and complex datasets.
Experience developing reports, dashboards, data visualizations, and analytical products to support business operations and executive decision-making.
Strong analytical and problem-solving skills with the ability to identify trends, anomalies, and opportunities for process improvement.
Experience translating business requirements into analytical solutions and presenting technical findings to both technical and non-technical stakeholders.
Knowledge of data governance principles, data quality management, and best practices for maintaining data integrity.
Excellent written and verbal communication skills, with the ability to effectively collaborate across cross-functional teams and government stakeholders.
Ability to manage multiple priorities, meet deadlines, and work independently in a fast-paced, client-focused environment.

Benefits

Comp & perks

Health, Dental, and Vision Plans
Short Term Disability / Long Term Disability / Life Insurance / Accidental Death and Dismemberment
Health Savings Account
Unlimited Paid Time Off
11 Federal Holidays Off
401K