MDM Associate Analyst

• Analyze and manage customer master data using Reltio or Informatica MDM solutions.
• Perform advanced SQL queries and data analysis to validate and ensure master data integrity.
• Leverage Python, PySpark, and Databricks for scalable data processing and automation.
• Collaborate with business and data engineering teams for continuous improvement in MDM solutions.
• Implement data stewardship processes and workflows, including approval and DCR mechanisms.
• Utilize AWS cloud services for data storage and compute processes related to MDM.
• Contribute to metadata and data modeling activities.
• Track and manage data issues using tools such as JIRA and document processes in Confluence.
• Apply Life Sciences/Pharma industry context to ensure data standards and compliance.

Basic Qualifications and Experience

• Master's degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR
• Bachelor's degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR
• Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field

Functional

Skills:

Must-Have Skills:

• Strong experience with Informatica or Reltio MDM platforms in building configurations from scratch (Like L3 configuration or Data modeling, Assets creations, Setting up API integrations, Orchestration)
• Strong experience in building data mappings, data profiling, creating and implementation business rules for data quality and data transformation
• Strong experience in implementing match and merge rules and survivorship of golden records
• Expertise in integrating master data records with downstream systems
• Very good understanding of DWH basics and good knowledge on data modeling
• Experience with IDQ, data modeling and approval workflow/DCR.
• Advanced SQL expertise and data wrangling.
• Exposure to Python and PySpark for data transformation workflows.
• Knowledge of MDM, data governance, stewardship, and profiling practices.

Good-to-Have Skills:

• Familiarity with Databricks and AWS architecture.
• Background in Life Sciences/Pharma industries.
• Familiarity with project tools like JIRA and Confluence.
• Basics of data engineering concepts.

Professional Certifications

• Any ETL certification (e.g. Informatica)
• Any Data Analysis certification (SQL, Python, Databricks)
• Any cloud certification (AWS or AZURE)

Soft Skills:

• Strong analytical abilities to assess and improve master data processes and solutions.
• Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.
• Effective problem-solving skills to address data-related issues and implement scalable solutions.
• Ability to work effectively with global, virtual teams