MDM Associate Analyst

• 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

• Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR

• Bachelors 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