Forecasting and Planning Manager

Sky
Carshalton
11 months ago
Applications closed

Related Jobs

View all jobs

Business Intelligence Analyst (Forecasting/Planning Analytics)

Data Analyst

Head of Business Intelligence & Data Analytics

Assistant Housing Asset Data Analyst

Data Analyst - E-Commerce

Data Analyst - Revenue/Sales

Want to do the best work of your life? With 24 million customers in 6 countries, make your mark at Europe's leading media and entertainment brand. A workplace where you can proudly be yourself; our people make Sky a truly exciting and inclusive place to work.

The Forecasting and Planning Manager will be responsible for the quarterly and yearly planning and target setting of TV Retention, as well as call demand forecasting for sports and cinema upgrades, downgrades and Broadband. They will need to understand the relevant performance variables (e.g. customer propensities, offer status, product holding, discretionary income band, new product launches) as well as the prevailing macro-economic trends such inflation, energy and interest rates to transform all of these considerations into a cohesive plan.
What you'll do:

  • Forecasting Expert- Use your performance insight and expertise to deliver accurate call demand and churn forecasts to ensure correct call centre resourcing and an accurate outlook for Sky overall net growth and financial forecasting. Use the latest tools and automation to speed up and improve the accuracy of our forecasting.
  • TV Churn Expertise -Become an expert in your retention planning area, developing a deep understanding of the drivers of performance at a customer segmented level
  • Collaboration- Oversee and own planning pack presentation materials and distribution of channel targets. Working collaboratively with the Sky Data scientists, Finance Analytics, Commercial Finance, Voice and Trading Performance teams to capture key trends and insights across churn important metrics;
  • Provide go-faster recommendations- Use your knowledge to make recommendations to the Lead, HOD, Director on which levers to push harder to make sure the business continues to grow and flourish; generating revenue, customer and P&L growth.

What you'll bring:

  • Credibleand able to present work up to the Director of Base Management, with excellent presentation skills (written and verbal)
  • Brilliant collaborator- able to work across a matrix organisation with the Data Scientists, Customer Service Group, Finance and Commercial teams to ensure the Sky leadership makes informed and timely trading decisions
  • Inquisitive and energetic -naturally curious and wants to find out more about what's driving performance and customer behaviour
  • Excellent numeracy skills along with technical skillsincluding excel/modelling; with the ability to manage and maintain large and complex data in a variety of formats to build concrete plans - spreadsheets, templates and trackers

The Rewards:
There's a reason people can't stop talking about#LifeAtSky. Our great range of rewards really are something special, here are just a few:

  • Sky Q, for the TV you love all in one place!
  • A generous pension package
  • Private healthcare
  • Discounted mobile and broadband!
  • Access a wide range of exclusive Sky VIP rewards and experiences

Osterley:
Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers.
Inclusion:
We take pride in our approach to diversity and inclusion: we've been recognised by The Times and Stonewall for this, and we've committed £30million to support the fight against racial injustice. We've also set ambitious targets for increasing ethnic diversity and representation throughout our organisation.

At Sky we don't just look at your CV. We're more focused on who you are and your potential. We also know that everyone has a life outside work, so we're happy to discuss flexible working.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Why wait?
Apply now to build an amazing career and be part of a brilliant team. We can't wait to hear from you.

To find out more about working with us, search#LifeAtSkyon social media.A job you love to talk about.

Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.