• Own end-to-end BI delivery (requirements, modeling, reporting) for prioritized business outcomes. • Define and maintain KPI/metric definitions, lineage, and reporting standards so stakeholders trust the numbers. • Build scalable semantic models and datasets, enabling self-service dashboards and ad-hoc analysis in Power BI. • Improve data quality and reliability through validation, monitoring, incident triage, and clear runbooks. • Lead and develop a team of 2 direct reports (prioritization, coaching, performance management, hiring/onboarding support). • Drive modernization and Microsoft Fabric adoption, balancing delivery speed with reliability and operational excellence.

• Develops and maintains BI assets including SQL queries, datasets, and Tableau dashboards. • Supports ETL workflows and data transformations. • Assists in optimizing queries and improving performance of existing reporting solutions. • Validates product-level data across systems. • Collaborates with business partners to gather requirements and clarify reporting needs.

• Solve complex business problems using data from internal and external sources. • Provide insight to decision-makers. • Work on moderately complex to complex issues requiring in-depth evaluation. • Describe technologies, applications and practices used to analyze raw data. • Influence department's strategy and make technical decisions for project components. • Exercise considerable latitude in determining goals and approaches to assignments. • Report to the Business Intelligence Lead.

• Collaborate with cross-functional teams to identify, collect, and validate data sources and analytics requirements • Design, develop, implement and maintain data systems and ETL/ELT processes that support data processing, data integration, and data transformation. This includes the set up and management of Digital Science’s Fivetran instance, as well as developing and maintaining code base in cloud functions/GBQ pipelines for API calls to non-Fivetran supported data sources • Develop and maintain data transformation and modelling processes using Dataform or dbt • Implement and maintain best practices for data governance, data security, and data quality, alerting systems and CI/CD processes • Play a central role in business system procurement and change management processes, to advise on the downstream impact for reporting and analytics of system modification, integration and implementation • Stay current with industry trends and technologies to identify opportunities for innovation and improvement