• Analyze datasets to uncover trends, patterns, and opportunities for outreach and engagement • Segment and prioritize nonprofit and educational partners based on potential impact and giving behavior • Develop reports, dashboards, and metrics to inform sales, marketing, and program decisions • Collaborate with data collection and entity resolution team members to ensure accuracy of insights • Continuously refine analytical methods and processes to improve decision-making

• Create, update, validate, and maintain master data records including customers, vendors, materials, warehouses, pricing, BOMs, routings, and related ERP data. • Acting as the golden record owner (ensuring customer master data is updated across ERP, CRM and E-commerce platform). • Maintain customer master data and pricing files within SAP and related systems. • Ensure compliance with internal data governance standards, naming conventions, and classification structures. • Partner with Supply Chain, Procurement, Finance, Sales, Manufacturing, Customer Service, and IT teams to support business requirements and integrations. • Serve as the subject-matter expert for master data processes, workflows, and troubleshooting before escalating to IT. • Identify opportunities for process improvements, automation, and reduction of manual work. • Develop and maintain SOPs, work instructions, training materials, and user support documentation. • Generate reports and perform root-cause analysis on data quality and process issues. • Support audits and compliance requirements (SOX)

• Manage and maintain the 'Golden Record' for core data domains (Customer and Product), including resolving data conflicts and duplicates. • Manage data hierarchies, relationships, and cross-system mapping. • Oversee the matching and merging process to improve consolidation of data. • Establish, measure and monitor Data Quality KPIs (Accuracy, Completeness, Timeliness, Consistency) • Perform root-cause analysis on data discrepancies and lead remediation efforts. • Design and implement automated data profiling, validation and cleansing processes. • Support the development of data governance standards, policies, and business rules. • Document data lineage, business glossaries, and data dictionaries. • Facilitate data stewardship activities across business units

• Work closely with data stakeholders, product teams, and technology partners to deliver trusted, high-quality, and compliant data across the organization • Work internationally with internal and external data providers, handling global data across a range of disparate formats, including APIs and batch processing • Document, develop, and maintain end-to-end data mappings from international third-party providers, integrating their information into our ecosystem • Participate in user acceptance testing and validation of data integration processes • Partner with technical teams (business analysts, IT teams) to support effective data integration, and with the business to drive understanding of the data consistent with its use by the business • Communicate with data providers, ensuring clarity and comprehensiveness of the data integrated • Maintain consistent, technically accurate communication with all internal and external stakeholders • In collaboration with technical teams, investigate ingestion failures and escalate persistent problems with full documentation • Monitor data ingestion performance • Ensure documentation of mapping process, test results and contribute to continuous improvement of the process