Summary
✨ AI‑Generated
A senior analytics role responsible for developing pricing models, analyzing revenue and operational data, and transforming insights into strategic commercial decisions using modern analytical approaches.
Highlights
Role offering ownership of pricing analytics, advanced modeling work, and opportunities to influence commercial decisions through data-driven insights.
Description
Job DescriptionThe 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.
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.
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!