Proficiency in modern BI tools and analytics stacks (SQL, Tableau, Power BI, Snowflake, dbt, Fivetran, Python/R)
Deep understanding of operational data workflows
Responsibilities
Lead and mentor a team of BI analysts (player coach), fostering analytical rigor, technical skill development, culture of curiosity, and data-driven insights
Partner with leadership (Retail/terminals/operations/divisional teams) to define key performance indicators (KPIs) and develop robust analytical frameworks to measure business performance, identify trends, and track progress against strategic goals
Translate ambiguous business questions into specific, testable hypotheses and analytical plans; proactively identify areas where data analysis can deliver significant value
Lead the end-to-end development, delivery, and optimization of BI solutions, including dashboards and reports, utilizing SQL and BI platforms (Tableau, Power BI, etc.)
Communicate complex analytical findings and strategic recommendations clearly and concisely to diverse audiences, including senior leadership, through compelling data storytelling and visualizations
Conduct deep-dive analyses using SQL, BI tools (Tableau, Power BI, etc.), and Python/R to uncover root causes, identify actionable opportunities for growth or optimization, and quantify business impact
Own the design, development, and continuous improvement of core dashboards and reporting suites (for terminals/retail), ensuring data accuracy, clarity, and relevance for various business verticals
Champion data-driven decision-making by designing and deploying timely analytics, optimizing terminal operations for profitability, efficiency, and growth (e.g., capacity, pricing strategies, scheduling, asset utilization)
Provide recommendations supporting decisions on terminal operations, acquisition strategies, and long-term planning