Job Description

Main responsibilities:

• Partner with senior stakeholders across Finance, Commercial, and Operations to provide data-led insight and analysis.
• Build, automate, and maintain advanced financial and operational models using SQL, Python, Power BI, and Excel.
• Develop data pipelines and reporting frameworks to streamline forecasting, budgeting, and KPI tracking.
• Translate complex datasets into clear financial insights and actionable recommendations.
• Support strategic projects, including pricing analysis, investment appraisal, and scenario modelling.
• Collaborate with the FP&A team to enhance accuracy and speed of reporting through automation and data engineering best practices.
• Champion the use of data and analytics across the finance function, driving continuous improvement and innovation.

Our client is a dynamic, PE-backed international entertainment business experiencing rapid growth and digital transformation. With a global footprint and an entrepreneurial culture, the business is investing heavily in technology, analytics, and automation to drive smarter, data-led decision-making.
As part of this evolution, we're seeking a Finance Business Partner who blends financial insight with a deep technical foundation in data engineering, analytics, and automation.
Reporting to the Finance Director, you will act as a key commercial partner to senior leadership, leveraging data and technology to enhance financial visibility, performance analysis, and strategic decision-making. This is not a traditional accounting role -- it's ideal for someone who thrives at the intersection of finance, data, and technology.
You'll help design and deliver data-driven financial models, dashboards, and forecasting tools that transform how the business understands its commercial performance.
Skills/experience required:

• Strong academic or technical background in Data Engineering, Computer Science, AI, or a related field.
• Significant experience working with large, complex datasets and building automated financial/operational reporting tools.
• Advanced proficiency in:
• SQL (data extraction and manipulation)
• Python (data analysis, automation, modelling)
• Power BI (dashboard design and visualisation)
• Excel (complex modelling and scenario analysis)
• Experience working in a commercial, finance, or analytics capacity within a fast-paced business (entertainment, media, or PE-backed environments highly desirable).
• Excellent communication skills with the ability to translate technical outputs into business insight.
• Passionate about innovation, digital transformation, and using technology to enhance financial decision-making.

What's on Offer

• Competitive base salary of 80,000 - 85,000
• 5,000 car allowance
• Annual performance bonus
• Opportunity to shape the future of a PE-backed business undergoing digital transformation
• Collaborative, fast-paced environment where data and creativity meet commercial ambition

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