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Business Data Analyst - Mapping (Fully Remote - No C2C)

Palni IncUnited States🇺🇸United StatesPosted Oct 16, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SQLETLDatabricks

Job Description

Role: Business Data Analyst - Mapping

Duration: 16 weeks (possibility of extension)

Location: USA (Fully Remote)

Domain: Healthcare Medicaid/T-MSIS business rules

Role Summary

Senior analysis role focused on source-to-target mapping, Medicaid/T-MSIS business rules, data profiling, and translating regulatory requirements into clear implementation specifications.

Roles & Responsibilities

  • Create and maintain detailed source-to-target mappings for complex healthcare data transformations.
  • Analyze source-system structures and identify the correct source fields for regulatory reporting requirements.
  • Document transformation rules, filters, exclusions, defaults, derivations, crosswalks, and valid-value logic.
  • Perform data profiling and gap analysis to identify missing, inconsistent, or undocumented mapping logic.
  • Analyze legacy ETL logic, SQL, or existing processing documentation when requirements are incomplete.
  • Maintain mapping traceability across source fields, business rules, target elements, and validation requirements.
  • Work with business SMEs, data architects, engineers, and QA to clarify requirements and resolve mapping gaps.
  • Support defect analysis and reconciliation by tracing data differences back to source or mapping logic.
  • Prepare clear mapping and rule documentation for technical implementation and validation.

Required Skills & Experience

  • 6+ years of business data analysis, data mapping, or data-integration experience.
  • Strong experience creating and managing complex source-to-target mapping documents.
  • Strong SQL and source-data profiling skills.
  • Experience documenting derivations, crosswalks, filters, exclusions, defaults, reference data, and transformation logic.
  • Ability to understand relational data models, ETL flows, and batch-processing logic.
  • Experience analyzing existing SQL, ETL jobs, or legacy code when documentation is incomplete.
  • Strong requirements-analysis, gap-analysis, traceability, and documentation skills.
  • Excellent communication and facilitation skills for working with business SMEs and technical teams.
  • Familiarity with Databricks / lakehouse concepts is preferred.

Domain Knowledge

  • Strong Medicaid / MMIS domain experience is preferred.
  • T-MSIS experience is highly desirable.
  • Knowledge of claims, encounters, eligibility, provider, managed care, TPL, pharmacy, and financial transaction data.
  • Experience interpreting CMS specifications, T-MSIS data elements, crosswalks, valid values, and state-specific rules.
  • Healthcare payer / regulatory reporting experience.

 

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