What are the responsibilities and job description for the Data Analyst position at Newnovation Solutions?
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 and 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