Analyst - Payer MDM

Location: Hyderabad

Key Responsibilities

• Support day‑to‑day execution of Payer MDM activities and help ensure alignment to business priorities and stakeholder expectations.
• Assist in documenting and applying governance processes, standards, and best practices across payer, plan, PBM, HUB, SP, and claims data domains.
• Support reviews of deliverables and contribute to team routines, continuous improvement, and operational discipline.
• Work with stewardship teams to support curation workflows, exception handling, and data quality processes.
• Support the stewardship operating model by helping maintain roles/responsibilities documentation, workflows, and escalation paths. Help implement and monitor data quality rules, thresholds, dashboards, and remediation workflows to improve payer master data accuracy, completeness, and consistency.
• Partner with product and technical teams to support configuration and maintenance of Reltio for Payer MDM (data model, match/merge rules, survivorship, hierarchies, validation, and workflows) based on defined requirements.
• Translate payer business rules into clear operational steps and support consistent application across stakeholders. Collaborate with SMEs and external vendors to investigate data discrepancies and support timely resolution.
• Support data quality monitoring, validation, and alerting mechanisms; help track issues through to closure. Contribute to process optimization by identifying gaps, proposing improvements, and supporting implementation of agreed changes.
• Perform data profiling, completeness checks, and root‑cause analysis to support remediation and mastering outcomes.
• Analyze payer/plan/PBM attributes to support matching logic, hierarchy validation, and transformation requirements. Support downstream data consumers by helping maintain consistency in mastered data delivery and stewardship practices.

Essential Requirements:

• 2–4 years of hands‑on experience with Master Data Management (MDM) platforms and concepts (e.g., data modeling, match/merge, survivorship, hierarchies, stewardship workflows).
• Good data profiling skills using SQL on Snowflake to analyze source data, identify anomalies, and support data quality and mastering requirements.
• Working understanding of payer/plan/PBM concepts.
• Understanding of Agentic AI and Generative AI, with ability to apply them to MDM use cases (e.g., stewardship support, data quality monitoring, matching/curation acceleration, and operational automation).
• Nice to have: ELT/ETL development exposure. Snowflake, SQL, Python, and orchestration tools are a plus (Airflow, ADF, etc.).
• Strong problem‑solving and analytical skills, with a continuous improvement and automation‑first mindset.

Desirable Requirement :

• Good communication and collaboration skills to work effectively with business and technical partners.
• Proactive approach to handling issues and escalating risks appropriately.
• Ability to work under tight deadlines and manage multiple priorities simultaneously.