• Perform data analysis to support operational reporting and strategic decision-making • Develop dashboards and visualizations for key performance metrics and stakeholder reporting • Write and optimize SQL queries to extract, validate, and analyze data from multiple sources • Support data quality efforts by identifying inconsistencies, gaps, and anomalies in datasets • Translate stakeholder questions into clear analysis plans and reporting deliverables • Create recurring and ad-hoc reports to support business operations and leadership needs • Document data definitions, reporting logic, and dashboard requirements • Collaborate with engineering and integration teams to support end-to-end data accuracy

POSITION SUMMARY: The Enterprise Data Warehouse (EDW) Team Supervisor is responsible for managing the daily activities of the data analysis team involved in designing, implementing, maintaining, and supporting data warehouse systems and projects. The role ensures that data reporting, data modeling, and data-related projects run efficiently, supporting organizational objectives and maintaining data quality. The supervisor also acts as the primary point of contact for all data reporting, analytics, and database support needs. PRINCIPAL DUTIES & RESPONSIBILITIES: Data Management and Supervision: - Provide leadership and oversight in the full lifecycle of data warehouse projects, from planning and design to implementation and support. - Supervise a team of Data Warehouse Analysts and Database Administrators, ensuring that workloads are appropriately balanced and deadlines are met. - Establish and maintain auditing processes to ensure data accuracy and quality across all data warehouses. Technical Solution Development: - Collaborate with business users and stakeholders to gather requirements and translate them into effective technical solutions for data reporting and analytics. - Develop, create, and modify query-based dashboards, reports, KPIs, and advanced analytics to support decision-making across the organization. - Stay current with advancements in data warehousing, business intelligence (BI) technologies, and analytics to bring innovative solutions to the team. On-Call and Technical Support: - Be available for on-call support as assigned by the manager, providing prompt assistance to resolve data reporting and database-related issues. - Provide technical advice, assistance, and training to users, helping them understand and utilize data reporting tools effectively. Documentation and Best Practices: - Document and maintain standard operating procedures, troubleshooting guides, and technical documentation for the data warehouse team. - Ensure that best practices for data management, storage, and retrieval are followed across all data warehouse projects. Additional Responsibilities: - Perform other duties as assigned by management to support the department’s and organization’s goals.

• Assess data from Salesforce.com & Clari, Workday and our LMS to understand regional performance and correlate performance to training completion • Leverage our data warehouse and Tableau to mine data and build reports • Establish and scale performance reporting and identify data trends, proactively uncovering areas of opportunity across all go-to market roles, to inform enablement initiatives • Aggregate, format, and present on findings, and partner closely with Revenue Enablement to serve up data in both summary exec formats and detailed reporting. • Measure and report on asset/resource adoption and efficacy, while working closely with the Content team to surface findings and inform content strategy • Work with Revenue Enablement to identify core program performance metrics, and continually track, report on impact • Monitor and manage enablement performance data, and fix any data integrity or hygiene issues • Work with the Enablement team and operations to build scalable reporting practices and provide visibility across sales leadership and executive team. • Compile, consolidate and validate data from multiple sources into digestible formats • Manage day-to-day sales and enablement performance reporting and ad-hoc data requests • Translate and communicate data trends into actionable insights

• Analyze e-commerce, loyalty, behavioral and transactional datasets • Translate findings into clear, actionable recommendations • Build dashboards and reporting layers (Looker, Power BI). • Design and implement ML models (churn, segmentation, forecasts, scoring) • Deliver at least one end-to-end ML solution into production (your experience will be strongly valued) • Work with MLOps patterns on GCP (BigQuery, Vertex AI, Cloud Run, pipelines). • Lead analytical conversations with customers • Present insights, defend your recommendations, and translate tech into business • Collaborate with data engineers and business teams to shape the full solution • Participate in workshops, scoping sessions, and pre-sales when needed.