Senior Commercial Data Analyst
Senior Commercial Data Analyst Location: London (Hybrid, 1-2 days per week)Salary: £42,700-£53,700 + annual bonus
A global media and entertainment business is looking for a Senior Commercial Data Analyst to own analytics within a cross-functional team. This role blends technical capability with commercial thinking, supporting senior stakeholders across multiple regions and business lines.
What You'll Do:
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Act as the go-to data expert for commercial teams, partnering with finance, sales, marketing and strategy
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Build dashboards and reporting tools (Power BI or similar) and support the rollout of a new BI platform
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Translate complex data into actionable commercial recommendations across pricing, product and market performance
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Connect data from multiple systems (CRM, finance systems, web analytics, etc.) to create a single source of truth
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Analyse deal value, product performance, customer behaviour and digital/content trends
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Support budgeting, forecasting and wider commercial planning
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Build automated reporting and enable self-serve analytics across the business
Example Projects:
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Migrating legacy reports into a modern BI platform and improving reporting structures
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Analysing financial, customer and digital data to inform commercial strategy for new product or venue launches
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Implementing forecasting and predictive analytics within dashboards
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Supporting CRM and commercial system integrations and helping drive adoption across global teams
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Creating reporting frameworks from scratch to track market trends, revenue performance and customer engagement
What You'll Need:
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3-5 years' experience in analytics or commercial insights
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Strong SQL skills; Python experience desirable
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Experience building dashboards in Power BI, Tableau or similar, with end-to-end ownership
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Strong understanding of relational data structures and data modelling
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Confident communicator able to translate data into commercial action for non-technical stakeholders
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Proactive, curious, and comfortable operating as the sole data specialist in a team
Ideal Backgrounds: Digital, media, retail, FMCG, tech or similar, ideally from smaller or growing data teams.
Interview Process:
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Initial conversation (CV anonymised)
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Technical task
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Task presentation to commercial stakeholders
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Final interview with senior leadership
Find out more and apply via the link below.