Lead Data Analyst - SQL & Python

- Supervise and develop a team of data analysts, establishing goals and career advancement opportunities - Build and lead an analyst guild to enhance processes and techniques that address common challenges - Cultivate a continuous improvement culture emphasizing analytical excellence and thorough validation - Develop practices to verify solutions before full rollout - Forge strong connections with stakeholders across various business areas, dedicating regular time to understand their needs - Lead structured discovery conversations to clarify ambiguous requirements into specific, actionable tasks - Direct stakeholders through a structured process to determine work that yields measurable business impact - Collaborate with the Data Platform Manager to align team priorities and maximize value delivery - Act as a bridge between technical and non-technical personnel through clear communication - Perform thorough data profiling to grasp the implications of data, including quality, patterns, and business context - Design data models that address critical business requirements, from profiling source data to developing dimensional prototypes - Work with Data Warehouse Engineers to refine models and create transformations for data population - Validate and test analytical solutions to ensure functionality prior to wider implementation - Create insightful reports and dashboards in Power BI that capture significant metrics - Define and categorize key metrics that guide business decisions - Develop data governance frameworks, including data dictionaries, mapping, and automated profiling - Document data meanings and lineage to enhance organizational understanding - Empower stakeholders to independently create and analyze their reports, progressing toward self-sufficient analytics - Act as a subject matter expert, enriching the organizations grasp of business processes and data necessities - Monitor usage and adoption rates to consistently improve data products