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Sportradar

Sr Pricing Analyst

Greater London
Posted about 16 hours ago
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Company Description

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.

Job Description

The Senior Pricing Analyst is the quantitative engine behind the pricing function — answering "how much" and "what if" by building the financial, revenue, and ROI models that operationalize pricing strategy. You will work across large, multi-product revenue and operational datasets, using modern AI and analytics tooling to turn data into pricing decisions at speed, while setting the standard for modeling rigor across the team.

THE CHALLENGE

  • Build and maintain financial revenue and ROI models that translate pricing strategy into commercial decisions.
  • Analyze large, multi-product revenue and operational datasets to surface pricing, margin, and profitability insights.
  • Apply AI and advanced analytics tooling to accelerate modeling, scenario analysis, and data exploration.
  • Create and maintain global price lists across products and content.
  • Run scenario modeling and price elasticity analysis to support pricing decisions.
  • Support content and product valuation, including ROI assessment for content acquisition and new products.
  • Provide business-plan modeling support for new commercial initiatives.
  • Partner with the Revenue Strategy team to ensure models reflect strategy and policy.
  • Set modeling standards and mentor junior analysts, reviewing methodology and outputs for rigor.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

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ABOUT YOU

  • Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitative field.
  • 5+ years in financial modeling, pricing analytics, data analysis, or commercial finance.
  • Demonstrated experience in financial revenue modeling and ROI modeling.
  • Strong AI skills — practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation.
  • Proven ability to analyze large revenue and operational datasets and translate them into actionable recommendations.
  • Advanced Excel and financial modeling skills; proficiency in SQL and analytics/BI tools (Python or R a strong plus).
  • Exposure to sports betting/gaming, sports data, or B2B data/SaaS environments welcome.

Key Success Metrics

  • Pricing model adoption
  • Speed of pricing updates
  • Accuracy of content valuation

OUR OFFER

  • A collaborative environment with colleagues from all over the world (Offices in Europe, Asia and US) including various social events and teambuilding.
  • Flexibility to manage your workday and tasks with autonomy.
  • A balance of structure and autonomy to tackle your daily tasks.
  • Vibrant and inclusive community, including Women in Tech and Pride groups which welcome all participants.
  • Global Employee Assistance Programme.
  • Calm and Reulay app (leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).
  • Online training videos.
  • Flexible working hours.

While we appreciate the flexibility and benefits of working from home, we strongly believe that coming together in person fosters stronger connections, encourages collaboration, and drives innovation—both as individuals and as a company. The energy, shared ideas, and team support we experience in the office strengthen the foundation of our success and culture. For this reason, we are an office-first business operating on a fully on-site model, with team members working in the office five days a week to build relationships, exchange ideas, and grow together.

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OUR RECRUITMENT PROCESS

  • Initial Screening: A quick chat with our Talent Acquisition Partner to understand your background and expectations.
  • Two Hiring Team Interviews: Meet with the Hiring team and Hiring Manager to dive into your expertise, as also discuss team fit.
  • Final Steps: Receive feedback and, if successful, an offer!

Additional Information

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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Skills

Financial modeling
Pricing analytics
Revenue modeling
ROI modeling
Data analysis
Excel
SQL
Python
R
Scenario modeling
Price elasticity analysis
Commercial finance
Business planning
Advanced analytics
AI tooling

Location

Greater London, England, United Kingdom

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