MDM Data Analyst

Overview:

We are seeking an experienced MDM Data Analyst to support our Master Data Management lead and team. This role is central to advancing our MDM platform - Veeva Network - through new project delivery, data quality initiatives, and cross-functional collaboration. The ideal candidate brings a strong data background, a high level of independence, and a track record of delivering high-quality outputs in complex data environments.

Key Responsibilities:

MDM & Data Quality Provide MDM-related requirements definition and analysis to support platform enhancements and new integrations Lead User Acceptance Testing (UAT) for new MDM integrations and enhancements; provide formal sign-off on work requests Perform data profiling and analysis of new data sources and customer lists to determine MDM universe matches and assess data quality Support ad hoc data requests from internal stakeholders across the organization Project Leadership & Collaboration Collaborate on and lead projects at the intersection of HCP/HCO customer data, CRM adoption, and training initiatives Drive cross-functional interviews and structured data investigations from problem definition through to final deliverable Design and develop advanced hypotheses at nd analytical frameworks to guide data investigations with limited oversight Documentation & Communication Create high-quality technical documentation, including audit frameworks and deliverable outputs suitable for senior leadership review Translate complex data concepts into clearly structured, digestible materials that can be shared across the organization

Required Qualifications:

Total 8+ years of experience with strong background in Master Data Management (MDM), data quality, or data governance Experience with Veeva Network or comparable MDM platforms strongly preferred Proficiency in data profiling, analysis, and interpretation of large, complex datasets Experience with HCP/HCO data and life sciences CRM ecosystems (e.g., Veeva CRM) Demonstrated ability to perform UAT and provide formal sign-off on system enhancements Excellent written communication skills; ability to produce structured, professional documentation

Key Competencies:

Independence & Self-Direction:

Manages workload with limited guidance; effectively prioritizes and sets expectations with stakeholders

Analytical Rigor:

Conducts thorough data investigations and drives toward well-structured, evidence-based deliverables Technical documentation: demonstrating the ability to absorb and logically structure information into high-quality deliverable outputs with audit frameworks that can be shared across the organization, including senior leadership

Communication:

Able to distill complex technical findings into high-quality outputs for both technical and non-technical audiences

Collaboration:

Works effectively across functions; proactively engages stakeholders to understand needs and drive alignment

Detail Orientation:

Produces audit-ready documentation and maintains a high standard for data accuracy and completeness Thank you!