Main Responsibilities
- Analyze US customer master data across data domains to ensure accuracy, completeness, consistency, and timeliness.
- Support the US Customer MDM product team with data-driven insights for backlog prioritization, feature enhancements, and defect resolution.
- Perform data profiling, root cause analysis, and impact assessment for data quality issues affecting CRM, analytics, USDF, and CIAM.
- Define, monitor, and report on US-specific data quality KPIs, thresholds, and trends; partner with Data Governance and Stewardship teams for remediation.
- Collaborate with US business stakeholders, GTMC teams, and country operations to understand customer data usage, pain points, and reporting needs.
- Translate business/operational questions into analytical requirements, queries, dashboards, and recurring data quality or operational reports.
- Support US market onboarding, enhancements, and releases via data readiness validation, UAT data checks, and go-live support.
- Partner with Data Engineers and Architects to validate source-to-target mappings, transformation logic, matching rules, and survivorship outcomes.
- Ensure compliance with local regulatory, privacy, and consent requirements (Privacy, Legal, Compliance).
- Contribute to US-specific data standards, reference data, and stewardship process adoption.
- Support change management and adoption with documentation and guidance to business users and consuming systems.
- Identify opportunities for automation, reporting optimization, and advanced analytics to improve Customer MDM operations.
Qualifications
- Bachelor’s degree (required); Master’s degree (preferred).
- 5+ years’ experience in data analytics, data/database management, and/or data quality reporting in complex enterprise environments.
- Understanding of Customer Master Data Management (MDM), Customer 360, and data quality management (preferred in healthcare/pharmaceutical or other regulated industries).
Required/Preferred Skills
- Hands-on experience with large datasets using SQL (Snowflake experience; Python preferred).
- Experience with BI/reporting tools: Power BI, Qlik Sense, or Tableau.
- Data modeling and data warehousing knowledge (cleansing, transformation, integration, validation).
- Experience partnering with Product, Data Engineering, Architecture, and Data Governance teams for MDM and downstream systems (CRM/analytics).
- Strong analytical, organizational, problem-solving, and communication skills.
Benefits (as stated)
- High-quality healthcare and prevention/wellness programs; at least 14 weeks’ gender-neutral parental leave.