Sr Pricing Analyst (m/f/d)

Sportradar AG

Wien

Hybrid

EUR 90.000 - 130.000

Vollzeit

vor 15 Stunden
Sei unter den ersten Bewerbenden
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Benefits dieser Stelle

Social events
Team building and events
Autonomy in daily tasks
Diversity & Inclusion groups (Women in
Tech
Pride groups
Employee assistance program
Well-being app

Zusammenfassung

Sportradar AG, a world-leading sports technology company, seeks a Senior Pricing Analyst to drive pricing models and ROI analyses across its products. You will partner with commercial, product, and strategy teams to value and monetise offerings, shaping revenue growth and profitability.

You will work with large datasets, employing AI and analytics tools to accelerate pricing decisions, and set modeling standards across the team, mentoring junior analysts in a fast-paced, data-driven environment.

Qualifikationen

  • 5+ years in financial modeling, pricing analytics, or related finance roles.
  • Proven experience in financial revenue and ROI modeling.
  • Strong AI skills with advanced analytics tools to accelerate analysis and insights.

Aufgaben

  • Build and maintain financial, revenue, and ROI models translating pricing strategy into decisions.
  • Analyze large multi-product revenue data to surface pricing and profitability insights.
  • Apply AI and advanced analytics tooling to accelerate modeling, scenario analysis, and data exploration.
  • Own and maintain pricing structures and price lists across Sportradar's products and offerings.
  • Develop scenario modelling and pricing impact analysis to evaluate commercial opportunities and support strategic pricing decisions.
  • Provide business case, revenue, and ROI modelling support for new initiatives and product launches.

Kenntnisse

Financial modeling
Pricing analytics
Data analysis
SQL
Python

Ausbildung

Finance/Economics/Mathematics/Statistics/Engineering

Tools

SQL
Python
R
BI tools

Jobbeschreibung

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

TheSenior Pricing Analystis 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. As a key partner to commercial, product, and strategy teams, you will help shape how Sportradar's products and services are valued and monetised.

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 modelling rigour across the team. Through deep analytical expertise and an understanding of the sports betting ecosystem, you will directly influence revenue growth, profitability and decisions across the business.

THE CHALLENGE
  • Build andmaintainfinancial 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 advancedanalytics toolingto accelerate modeling, scenario analysis, and data exploration.
  • Own and maintain global pricing structures and price lists across Sportradar's products, content, and commercial offerings.
  • Develop scenario modelling and pricing impact analysis to evaluate commercial opportunities and support strategic pricing decisions.
  • Support content and product valuation, including ROI assessment for content acquisition and new products.
  • Provide business case, revenue, and ROI modelling support for new commercial initiatives, product launches, and strategic investments across Sportradar's betting and sports data portfolio.
  • Partner with the Revenue Strategy team to ensure models reflect strategy and policy.
  • Set modeling standards and mentor junior analysts, reviewingmethodologyand outputs for rigor.
ABOUT YOU
  • Degree in Finance, Economics, Mathematics, Statistics, Engineering, or related quantitativefield.
  • 5+years in financial modeling, pricing analytics, data analysis, or commercial finance.
  • Demonstrated experience infinancial revenue modeling and ROI modeling.
  • Strong AI skills— practical use of advanced analytics tools to accelerate analysis, modeling, and insight generation.
  • Proven ability to analyse largerevenue and operational datasetsand translate them into actionable recommendations.
  • Advanced Excel and financial modeling skills;proficiencyin SQL and analytics/BI tools (Python or R a strong plus).
  • Professional experience in the sports betting/gaming industry is strongly preferred, with experience in betting products, sportsbook technology, sports data solutions or B2B data/SaaS environmentsis considered a significant advantage.
Key Success Metrics
  • Pricing model adoption and commercial impact
  • Speed and quality of pricing recommendations
  • Accuracy of content valuation
OUR OFFER:
  • Acollaborative environmentwith colleagues from all over the world (Offices in Europe, Asia and US) including varioussocial eventsandteambuilding.
  • Flexibilityto manage your workday and tasks withautonomy.
  • A balance ofstructureandautonomyto tackle your daily tasks.
  • Vibrantandinclusivecommunity, includingWomen in TechandPride groupswhich welcome all participants.
  • GlobalEmployee Assistance Programme.
  • CalmandReulay app(leading well-being apps designed to support focus, quality rest, mindfulness, and long-term mental resilience).

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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