Senior Commercial Data Analyst

Join Expereo as a Senior Commercial Data Analyst, where you will work directly with costing and pricing data to drive business growth. You will be responsible for reporting, managing data for predictive models, and building self-serve dashboards for commercial stakeholders. Strong experience with pricing data in a commercial context is preferred, along with proficiency in SQL and Python/R.

• Producing regular reporting on pricing performance, margin outcomes, and win/loss trends across customer segments and geographies.
• Maintaining and QA the historical cost dataset that feeds predictive costing models, flagging anomalies and gaps to ensure clean input into the model.
• Building self-serve reporting tools so that sales, commercial, and finance stakeholders can explore pricing and cost data without analyst involvement.
• Strong proficiency in SQL and Python/R for data extraction, transformation, and analysis
• Demonstrable experience working with pricing data in a commercial context — margin analysis, cost benchmarking, win/loss reporting, or equivalent
• Experience building dashboards and reporting tools (Power BI, Tableau, MicroStrategy, or similar)
• Rigorous approach to data quality: able to identify anomalies, trace root causes, and implement fixes that stick
• Experience documenting data lineage and metric definitions in a way that scales across teams
• Ability to communicate analytical findings clearly to non-technical commercial and finance stakeholders
• Background in B2B SaaS, telecoms, or logistics, where pricing complexity and margin discipline are real commercial stakes
• Exposure to AWS data services (S3, Athena, Redshift) or equivalent cloud infrastructure
• Familiarity with predictive costing or pricing models and experience validating their outputs against actuals