Commercial Analyst

Commercial Analyst - Subscriptions Forecasting & Insight (salary up to £50,000)

Immediate is home to some of the biggest and most loved consumer brands in the UK, including Radio Times, Good Food and BBC Gardeners World magazine. Our trusted, quality content reaches millions of people a month across digital, print, video, podcasts, apps and live events.

We're the destination for people looking to get more from the things they love. We're here to inspire, fuel, encourage and educate.

Whether it's the big things, or the little things; from reaching fitness goals to savouring good food, cultivating outdoor spaces, or enjoying the latest TV sensation - we help bring our audiences joy!

About the role

As a Commercial Analyst within the Subscriptions team, you will support the development and interrogation of forecasting models and deliver commercial insight that informs subscriber growth and planning decisions. You will own the development and maintenance of forecasting models, working with AI-powered tools as well as data from across the business to help the team understand subscriber behaviour, track performance, and sharpen our forward view.

This is a role for an analytically rigorous, commercially curious analyst who can critically evaluate model outputs, ask the right questions of the data, and translate findings into clear recommendations for a range of stakeholders.

As a Commercial Analyst you will;

• Interrogate and validate subscription forecasting models, applying statistical understanding to assess accuracy, test assumptions, and ensure outputs are robust and commercially meaningful.
• Monitor forecast accuracy, investigate variances between predicted and actual outcomes and iterate models to improve performance over time.
• Conduct analysis of subscriber behaviour, including cohort analysis, churn propensity, and lifetime value, to surface commercial opportunities and risks.
• Contribute to regular performance reporting, producing clear commentary on subscription KPIs and actuals versus forecast.
• Support the budgeting and reforecasting process by providing the analytical underpinning for subscriber volume and revenue assumptions.
• Maintain and quality-assure the subscription datasets used in forecasting and reporting, integrating data from Billing, CRM and Revenue Recognition platforms.
• Contribute to the development of dashboards and automated reports that provide clear visibility of subscription trading performance.
• Use AI and machine learning tools where appropriate to improve forecasting accuracy, automate repeatable tasks, and surface patterns in subscriber data.
• Translate analytical outputs into clear, accessible findings for Subscription Marketing, Finance, and Commercial stakeholders.