Analyst, Revenue Planning and Performance Analytics

Analyst, Revenue Planning and Performance Analytics

Full-Time 60750 - 74250 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Analyse revenue performance and provide insights to drive business decisions.
  • Company: Join the world's leading sports technology company at the heart of sports, media, and betting.
  • Benefits: Competitive salary, diverse culture, and opportunities for growth and learning.
  • Other info: Embrace a dynamic environment where your analytical skills can shine and evolve.
  • Why this job: Make a real impact by transforming data into compelling narratives that drive revenue.
  • Qualifications: 2-5 years in finance or analytics, with skills in SQL, Power BI, and Python.

The predicted salary is between 60750 - 74250 £ per year.

  • Analyst, Revenue Planning and Performance Analytics
  • Full-time

We’re the world’s leading sports technology company, at the intersection between sports, media, and betting.

More than 1,700 sports federations, media outlets, betting operators, and consumer platforms across 120 countries rely on our know-how and technology to boost their business.

As the market leader in sports technology, Sportradar (NASDAQ: SRAD) is positioned at the center of the sports ecosystem.

Our broader Financial Planning & Analysis organization plays a critical role in delivering extraordinary growth; we’re targeting a 15% CAGR for revenue while consistently expanding margin and cash conversion.

In an industry where AI is redefining fan engagement, our finance leaders must be as sophisticated as our technology: combining financial discipline with commercial acumen and advanced analytics to unlock opportunities across a market growing at double-digit percent annually.

Reporting to the VP of Revenue Performance & Planning, you are the primary performance auditor of commercial outcomes.

You don't just report numbers; you interrogate them and recommend the way forward to maximize value.

Your mission is to identify the "why" behind performance trends that you package to a compelling story to drive a business decision.

You provide the critical challenge required for driving revenue and margin, guiding business counterparts through a transformative planning process that prioritizes drivers over pure outcomes.

  • THE CHALLENGE
  • Proactive revenue performance analysis: move past outcomes to identify the specific revenue drivers (e. g., usage, churn, pricing, market) that management must focus on.
  • Revenue forecast pressure-testing: Interrogate the inputs that feed our global P&L to ensure every forecast is achievable and rooted in actionable drivers.
  • Logic refinement: Identify and dismantle broken assumptions in commercial plans and rebuild them into actionable, robust frameworks.
  • Causal synthesis: Translate complex technical and commercial data into clear, authoritative narratives for senior stakeholders.
  • Driver autopsy: Conduct deep-dives into revenue beats or misses to distinguish between one-time windfalls and core structural trends.
  • Planning guidance: Lead commercial counterparts through the forecasting and budgeting process to ensure submissions are robust and logically sound.
  • Business modeling: Create elegant solutions for complex business topics like pricing elasticity and market entry costs.
  • Build automated revenue reporting using advanced analytical and reporting tools on top of data warehouse and billing data sets to steer commercial decision making

YOUR PROFILE

  • 2-5 years in a multidisciplinary finance, analytics, and/or consulting role.
  • We seek proficiency in either commercial finance or commercial analytics.
  • SQL, Power BI / Tableau, and AI agents knowledge is essential. Experience with Python or n8n/workflow automation is highly valued.
  • An "accountability" mindset - you value the strength of a plan over the speed of its delivery.
  • You ask smart questions and refuse to accept surface-level explanations.
  • You enable business success by providing the "so-what" that others miss.
  • You are a "fixer" who enjoys the challenge of untangling messy data problems to find a clear path forward.

At Sportradar, we celebrate our diverse group of hardworking employees.

Sportradar is committed to ensuring equal access to its programs, facilities, and employment opportunities.

All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

We encourage you to apply even if you only meet most of the requirements (but not 100% of the listed criteria) – we believe skills evolve over time.

If you’re willing to learn and grow with us, we invite you to join our team!

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Analyst, Revenue Planning and Performance Analytics employer: SportRadar

Sportradar is an excellent employer that fosters a dynamic and innovative work culture, perfect for those passionate about data and sports. With a hybrid work model, employees enjoy flexibility while benefiting from continuous professional development opportunities, ensuring growth in their careers. Joining our team means being part of a fast-paced environment where your contributions directly impact the commercial and operational success of the company.

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Contact Details:

SportRadar Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Analyst, Revenue Planning and Performance Analytics

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We think you need these skills to ace Analyst, Revenue Planning and Performance Analytics

Revenue Performance Analysis
Forecasting
Data Interpretation
SQL
Power BI
Tableau
AI Agents Knowledge

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at SportRadar, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at SportRadar

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with SportRadar’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.