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Novartis is hiring a Analyst - Payer MDM

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Hyderabad (Office)
Posted 2 days ago
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Job Description

Job Description Summary

Support the strategy, governance, and operational execution of the Payer Master Data Management (MDM) platform. Working under the guidance of senior team members, the role partners with Product Owners, Payer Data SMEs, and cross functional teams to help ensure accurate, reliable, and high-quality mastering of payer, plan, PBM, and commercial healthcare datasets. The Analyst contributes to standards adherence, stewardship support, data issue resolution, and ongoing enhancements to data quality and operational workflows.


 

Job Description

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.


 

Skills Desired

Advertising Campaigns, Alteryx, Analytical Thinking, Brand Awareness, Business Networking, Curiosity, Digital Marketing, Marketing Communications, Marketing Plans, Marketing Strategy, Media Campaigns, Process Documentation, Statistical Analysis, Strategic Marketing
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Salary Information

Salary: $12000-20000

🤖 This salary estimate is calculated by AI based on the job title, location, company, and market data. Use this as a guide for salary expectations or negotiations. The actual salary may vary based on your experience, qualifications, and company policies.

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