MDM Associate Analyst

<h2><b>Career Category</b></h2>Information Systems<h2></h2><h2><b>Job Description</b></h2><div><div><p><u><span>ABOUT AMGEN</span></u><span> </span></p></div><div><p><span><span>Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, </span><span>fuller</span><span> and longer. We discover, develop, </span><span>manufacture</span><span> and deliver innovative medicines to help millions of patients. Amgen helped </span><span>establish</span><span> the biotechnology industry more than 40 years ago and </span><span>remains</span><span> on the </span><span>cutting-edge</span><span> of innovation, using technology and human genetic data to push beyond </span><span>what’s</span><span> known today.</span></span><span> </span></p></div><div><p><span><span> </span></span><span> </span></p></div><div><p><u><span>ABOUT THE ROLE</span></u><span> </span></p></div><div><p><u><span>Role Description:</span></u><span> </span></p></div><div><p><span><span>We are seeking an </span><span>MDM Associate Analyst</span><span> </span><span>with </span><span>2</span><span>–5 years of </span><span>development </span><span>experience to support and enhance our enterprise MDM (Master Data Management) platforms using Informatica/Reltio. This role is critical in delivering high-quality master data solutions across the organization, </span><span>utilizing</span><span> modern tools like Databricks and AWS to drive insights and ensure data reliability. The ideal candidate will have strong SQL, data profiling, and experience working with cross-functional teams in a pharma environment.</span><span> </span></span><b><span>To succeed in this role, the candidate must have strong </span><span>experience on </span><span>MDM (Master Data Management)</span><span> on configuration</span><span> (L3 Configuration, Assets creati</span><span>on, Data modeling </span><span>etc</span><span>)</span><span>, </span><span>ETL and </span><span>data mappings</span><span> (CAI, CDI</span><span>) </span><span>,</span><span> data mastering</span><span> (Match/Merge and Survivorship rules)</span><span>, source and target integrations (</span><span>RestAPI</span><span>, Batch integration, Integration with Databricks tables </span><span>etc</span><span>)</span></b><span> </span></p></div><div><p><span> </span></p></div><div><p><u><span>Roles &amp; Responsibilities:</span></u><span><span> </span></span><span> </span></p></div><div><ul><li><p><span><span>Analyze and manage customer master data using Reltio or Informatica MDM solutions.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Perform advanced SQL queries and data analysis to </span><span>validate</span><span> and ensure master data integrity.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Leverage Python, </span><span>PySpark</span><span>, and Databricks for scalable data processing and automation.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Collaborate with business and data engineering teams for continuous improvement in MDM solutions.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Implement data stewardship processes and workflows, including approval and DCR mechanisms.</span></span><span> </span></p></li></ul></div></div><div><div><ul><li><p><span><span>Utilize AWS cloud services for data storage and </span><span>compute</span><span> processes related to MDM.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Contribute to metadata and data modeling activities.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Track and manage data issues using tools such as JIRA and document processes in Confluence.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Apply Life Sciences/Pharma industry context to ensure data standards and compliance.</span></span><span> </span></p></li></ul></div><div><p><u><span>Basic Qualifications and Experience:</span></u><span> </span></p></div><div><ul><li><p><span><span>Master’s degree with 1 - 3 years of experience in Business, Engineering, </span><span>IT</span><span> or related </span><span>field  OR</span><span> </span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, </span><span>IT</span><span> or related </span><span>field  OR</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Diploma with 6 - 8 years of experience in Business, Engineering, </span><span>IT</span><span> or related field</span></span><span> </span></p></li></ul></div><div><p><u><span>Functional Skills:</span></u><span> </span></p></div><div><p><b><span>Must-Have Skills:</span></b><span> </span></p></div><div><ul><li><p><span><span>Strong experience with Informatica or Reltio MDM platforms</span><span> in building configurations from scratch (Like L3 configuration or Data modeling, </span><span>Assets creations, Setting up API integrations, Orchestration)</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong experience in building data mappings, data profiling, creating and implementation business rules for data quality</span><span> and data transformation</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Strong experience in implementing </span><span>match and merge rules and survivorship</span><span> of golden records</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Expertise</span><span> in integrating master data records with downstream systems</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Very good</span><span> understanding of DWH basics and </span><span>good knowledge on data modeling</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Experience with IDQ, data modeling and approval workflow/DCR.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Advanced SQL </span><span>expertise</span><span> and data wrangling.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Exposure to </span><span>Python and </span><span>PySpark</span><span> for data transformation workflows.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Knowledge of </span><span>MDM, </span><span>data governance, stewardship, and profiling practices.</span></span><span> </span></p></li></ul></div><div><p><b><span>Good-to-Have Skills:</span></b><span> </span></p></div></div><div><div><ul><li><p><span><span>Familiarity with Databricks and AWS architecture.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Background in Life Sciences/Pharma industries.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Familiarity with project tools like JIRA and Confluence.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Basics of data engineering concepts.</span></span><span> </span></p></li></ul></div><div><p><u><span>Professional Certifications</span></u><u><span>:</span></u><span> </span></p></div><div><ul><li><p><span><span>Any ETL certification</span><span> (</span><span>e.g.</span><span> Informatica)</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Any Data Analysis certification (SQL</span><span>, Python, Databricks</span><span>)</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Any cloud </span><span>certification (AWS or AZURE)</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><span> </span></p></div><div><p><u><span>Soft Skills:</span></u><span> </span></p></div><div><ul><li><p><span><span>Strong analytical abilities to assess and improve master data processes and solutions.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Effective problem-solving skills to address data-related issues and implement scalable solutions.</span></span><span> </span></p></li></ul></div><div><ul><li><p><span><span>Ability to work effectively with global, virtual teams</span></span><span> </span></p></li></ul></div><div><p><span> </span></p></div><div><p><span> </span></p></div><div><p><u><span>EQUAL OPPORTUNITY STATEMENT</span></u><span> </span></p></div><div><p><span><span>Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.</span></span><span> </span></p></div><div><p><span><span>We will ensure that individuals with disabilities are provided with reasonable accommodation to </span><span>participate</span><span> in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.</span></span><span> </span></p></div></div><p style="text-align:inherit"></p><p style="text-align:inherit"></p><p style="text-align:inherit"></p>.