Location
London

Hours
Full Time

Salary
Up to £50,000

About the Role
Immediate Media Co is home to some of the UK's most beloved consumer brands, including Radio Times, Good Food, and BBC Gardeners World magazine. Our trusted, quality content reaches millions each month across digital, print, video, podcasts, apps, and live events. We inspire, fuel, encourage, and educate audiences to get more from the things they love, whether it’s fitness goals, savouring good food, cultivating outdoor spaces, or enjoying the latest TV sensation.

As a Commercial Forecasting 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 and data from across the business to help the team understand subscriber behaviour, track performance, and sharpen our forward view.

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

Key responsibilities include:
- Interrogating and validating subscription forecasting models by applying statistical understanding to assess accuracy, test assumptions, and ensure outputs are robust and commercially meaningful.
- Monitoring forecast accuracy, investigating variances between predicted and actual outcomes, and iterating models to improve performance.
- Conducting analysis of subscriber behaviour including cohort analysis, churn propensity, and lifetime value to identify commercial opportunities and risks.
- Contributing to regular performance reporting with clear commentary on subscription KPIs and actuals versus forecast.
- Supporting budgeting and reforecasting processes by providing analytical underpinning for subscriber volume and revenue assumptions.
- Maintaining and quality-assuring subscription datasets used in forecasting and reporting, integrating data from Billing, CRM, and Revenue Recognition platforms.
- Developing dashboards and automated reports to provide clear visibility of subscription trading performance.
- Using AI and machine learning tools where appropriate to improve forecasting accuracy, automate repeatable tasks, and surface patterns in subscriber data.
- Translating analytical outputs into clear, accessible findings for Subscription Marketing, Finance, and Commercial stakeholders.

Experience
2–4 years’ experience in an analytics or data role, ideally within a subscription, digital, or media business.
Strong understanding of statistical and forecasting concepts including time-series analysis, regression, churn modelling, and cohort analysis.
Strong SQL skills for extracting and preparing data from large datasets.
Familiarity with subscription metrics such as churn rate, lifetime value (LTV), recurring revenue, and cohort retention.
Experience with BI tools such as Tableau, Looker, or Power BI is advantageous.

About you
Strong analytical mindset with the ability to translate complex data into clear commercial insight.
Attention to detail and a commitment to accuracy.
Enthusiasm for applying AI tools to improve analytical workflows.
Confident communicator, comfortable presenting findings to non-technical stakeholders.

Qualifications
No specific qualifications stated; however, relevant experience and skills in analytics, forecasting, and data tools are essential.