Sr Product Analyst - Ref Data/MDM

5 - 12 years

3 - 12 Lacs

Posted:1 week ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Key Responsibilities

Data Analysis and Documentation

  • Analyze data requirements for master and reference data domains.
  • Document data lineage and create mappings for data flow across systems.
  • Write user stories related to data accuracy, completeness, and consistency.
  • Conduct data quality assessments, cleansing, and validation activities.

Business Process Analysis

  • Understand how reference and master data are utilized in business processes.
  • Identify process gaps and areas of improvement based on data use cases.

System Integration

  • Collaborate with technical teams to document data streams and integrations.
  • Ensure data consistency across multiple applications and systems.

Communication and Collaboration

  • Communicate data requirements and solutions effectively to both business and technical stakeholders.
  • Act as the liaison between data product owners, developers, and business teams.

Training and Support

  • Provide user training on reference and master data systems and best practices.
  • Support onboarding of users and promote platform adoption.

Alignment with Business Objectives

  • Engage with stakeholders to gather data needs and enable data usage through MDM/ref platforms.
  • Promote visibility of MDM/ref data platform availability and milestones across organizational forums.

Basic Qualifications

  • Master's degree with 710 years of Information Systems experience
  • OR Bachelor's degree with 810 years of Information Systems experience
  • OR Diploma with 1012 years of Information Systems experience
  • 57 years of experience as a product analyst specifically for MDM/ref data

Preferred Qualifications

  • Familiarity with MDM and RDM tools and technologies
  • Experience working closely with technical teams for MDM/ref data
  • Hands-on experience writing user stories for data-focused initiatives
  • Background in services or consulting related to data/AI products
  • Exposure to biotech or pharmaceutical domains
  • Ability to collaborate across matrixed and global teams
  • Passion for technology and customer success

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