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We are working with a successful media broadcasting company delivering high-quality content across multiple platforms. With a rich history and a commitment to innovation, they reach millions of viewers and listeners daily. They are passionate about storytelling, as they leverage cutting-edge technology to enhance the viewer experience. As they continue to grow, they are looking for a skilled Senior Data Analyst to join their dynamic team and help them turn data into actionable insights.
Role: Senior Analyst - Finance Analyst
Salary: up to £65,000
Location: 3 days on site from their Middlesex office in London
The projects and analysis they lead are very commercial in nature and typically deal with high-profile issues for their executive team.
Their responsibilities range from leading big data / predictive analytics projects and analysing complex business issues through to building the analytical capabilities of their commercial finance function.
Examples of our work to date include:
- Leading cross-functional data science projects to identify opportunities to reduce customer churn & optimise revenue
- Undertaking in-depth analysis of the relationship between viewing patterns and financial performance
- Developing and using new data sets to analyse and optimise all aspects of revenue and business performance
- Rolling out an analytics development programme for our wider commercial finance function
Key Responsibilities:
Roles within their team focus on generating insights from data to deliver financial benefits and improved decision making
Your work will involve elements of the following:
- Deep dives into high-profile aspects of business performance
- Undertaking complex analysis using large data sets
- Bringing new insight into performance
- Supporting data science projects
- Identifying and supporting opportunities to optimise revenue and EBITDA growth
- Working with colleagues across functions, including commercial finance, sales, marketing, data and technology
- Coaching other team members and helping our broader finance team get even better at using data and analytics in their day-to-day work
Due to the high number of responses, we may not be able to get back to all applicants.
