Data Engineer

Business Data Analyst ( GC)

Location: Philadelphia, PA (Hybrid) (2nd client round in person)

CTH: 6 months for now (Client will hire the candidate if he turns out to be good)

Skills: Payer, SQL, Azure Databricks (Delta Lake, DLT, Unity Catalog)

Summary:

Seeking a Business Data Analyst with strong techno functional experience in the healthcare payer domain to lead and support data driven initiatives. The ideal candidate will have deep expertise in payer data, including claims, population health, and industry data standards. They will work closely across business and technology teams, analyzing data files for ingestion, writing functional requirements, and supporting the SDLC/Agile lifecycle from initiation design testing deployment. A strong analytical background and prior experience in the healthcare insurance industry is required.

Duties:

Leadership & Strategy:

• Assess, identify, and articulate business needs for data and technical solutions
• Establish data quality SLAs, metrics, and dashboards for critical datasets
• Assist in managing large scale projects, determining requirements, resources, and deliverables
• Ensure successful implementations aligned with AmeriHealth standards

Data Analysis & Delivery:

• Create documentation such as Functional Specifications and Source to Target (S2T) mappings
• Perform advanced SQL based data analysis and profiling
• Validate payer datasets (claims, membership, provider, clinical)
• Collaborate with engineering teams working on Azure Data Factory, Databricks, and Snowflake
• Provide in depth functional understanding of ETL technologies
• Partner with data governance and business teams to resolve data quality issues
• Participate in estimating scope and defining IS team deliverables
• Contribute to change management, leading as needed
• Resolve conflicting business requirements across teams
• Manage multiple tasks/projects simultaneously; strong written and verbal communication required

Required:

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
• 8+ years in business/data analysis, project management, or process re engineering
• Strong expertise in Azure Databricks (Delta Lake, DLT, Unity Catalog)
• Strong SQL skills for building complex queries
• Knowledge of data governance, PII compliance, and data quality frameworks
• 5+ years healthcare industry experience (Medicaid/Medicare preferred)
• Strong communication and leadership for cross functional collaboration
• SME level understanding of major systems and their business usage
• Understanding in FACETS
• Experience with EDI data transactions and/or Care Management data standards
• Familiarity with BI tools such as Power BI and Tableau
• Understanding of data governance platforms (e.g., Collibra)
• Familiarity with industry standard deliverables like RTM, FMEA, and Business Process Mapping