Perform end-to-end data analysis, including data profiling, validation, and transformation for large-scale data integration and reporting projects.
Collaborate with business users and stakeholders to gather, analyze, and translate functional requirements into technical specifications.
Work with data engineers and developers to implement and validate data consolidation, standardization, and transformation logic.
Optimize complex SQL queries for performance and accuracy in handling large datasets.
Participate in data quality assessments and recommend data cleansing or enrichment strategies.
Leverage domain knowledge of Healthcare Insurance—including claims lifecycle—to ensure data alignment with business processes.
Facilitate communication between business SMEs, data modelers, and technical teams for successful data delivery and adoption.

Requirements

5+ years of hands-on experience in data analysis, data mapping, and data transformation within enterprise data environments.
Strong proficiency in SQL, including analytical functions, query optimization, and performance tuning.
Proven experience developing and understanding ETL/data flow processes.
Exposure to data consolidation, standardization, and transformation across heterogeneous data sources.
In-depth knowledge of the Healthcare Insurance domain.
Exceptional communication and interpersonal skills—able to work effectively with technical teams, business stakeholders, and subject matter experts.
Strong documentation skills with the ability to create clear and concise technical and business art

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata profilingdata validationdata transformationSQLETLdata mappingquery optimizationperformance tuningdata consolidation

Soft Skills

communication skillsinterpersonal skillscollaborationdocumentation skills