You have experience using both commercially available analytical tools (Tableau, Google Data Studio, Amazon Quicksight, PowerBI, advanced Excel, etc.) as well as at least intermediate programming skills for data manipulation and modeling (SQL plus Python or R). You carefully absorb details about business challenges, and evaluate how to utilize those tools and programming skills to conduct the most productive analyses. You’re comfortable working with “real-world” (read: messy) data sets, and understand how to evaluate the reliability of data and repair / enrich data where possible. You know how to locate useful third-party data sets to add value to first-party data, as part of a comprehensive analysis effort. Your analysis is delivered with clear language and visuals, synthesizing the most critical insights into clean storylines non-technical audiences can act upon. You are comfortable working with data engineers and data scientists for more complex data management and modeling, and design / visualization specialists for complex visualization tasks or where a high degree of polish or interactivity is required for final deliverables.