Instant Product Pricing Analyst

Instant Product Pricing Analyst

Full-Time 85000 - 95000 £ / year (est.) No working from home possible
SCIENTIFIC GAMES

At a Glance

  • Tasks: Drive pricing analysis and reporting for exciting lottery products.
  • Company: Join Scientific Games, a leader in lottery and gaming innovation.
  • Benefits: Competitive salary, dynamic work environment, and growth opportunities.
  • Other info: Work in a regulated industry with excellent career advancement potential.
  • Why this job: Make an impact in the gaming industry with your analytical skills.
  • Qualifications: 5 years in pricing or analytics; strong Excel modelling skills.

The predicted salary is between 85000 - 95000 £ per year.

Scientific Games is the global leader in lottery games, sports betting and technology, and the partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day. We push game designs to the next level and are pioneers in data analytics and iLottery. Built on a foundation of trusted partnerships, Scientific Games combines relentless innovation, legendary performance, and unwavering security to responsibly propel the global lottery industry ever forward.

Position Summary

What You’ll Do:

  • Drive all Instant Product reporting, forecasting and budgeting tools & processes.
  • Lead pricing analysis for instant ticket RFPs and ad-hoc commercial opportunities, from initial evaluation through final bid recommendation.
  • Model and monitor internal printing capacity and demand on an ongoing basis, maintaining a current view of available capacity, utilization, and upcoming constraints.
  • Evaluate the trade-offs between new opportunities and existing contracted demand to optimize highest and best use of capacity.
  • Develop and refine pricing models, including bundled offerings, volume incentives, and performance-based structures.
  • Build and maintain competitive intelligence on pricing, product features, and contract terms across key competitors.
  • Partner with sales, operations, and finance to translate pricing strategy into winning bids and sound commercial terms.
  • Conduct post-bid and post-award analysis to refine pricing approaches and improve win rates and margins over time.
  • Present pricing recommendations and supporting analysis to commercial leadership.

What We’re Looking For:

  • 5 years of experience in pricing, commercial analytics, FP&A, strategy, or a related analytical role.
  • Strong financial modelling skills in Excel; comfort building bottoms-up cost, capacity, and margin models from scratch.
  • Experience evaluating capacity-constrained or manufacturing-driven businesses is a strong plus.
  • Familiarity with RFP processes, government or B2B contracting, or the lottery/gaming industry is a plus.
  • Ability to translate complex quantitative analysis into clear recommendations for non-technical stakeholders.
  • Bachelor’s degree in finance, economics, engineering, business, or a related quantitative field.
  • Comfortable working with incomplete information and iterating quickly as deals develop.

Nice to Have:

  • SQL and experience with BI tools (Tableau, Power BI, Looker).
  • Exposure to game theory, auction theory, or competitive bidding strategy.
  • Prior work in print, packaging, or other capacity-driven manufacturing environments.

Qualifications:

Salary £85-95k, depending on experience.

Work Conditions:

Scientific Games, LLC and its affiliates (collectively, “SG”) are engaged in highly regulated gaming and lottery businesses. As a result, certain SG employees may, among other things, be required to obtain a gaming or other license(s), undergo background investigations or security checks, or meet certain standards dictated by law, regulation or contracts. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles. As a prerequisite to employment with SG (to the extent permitted by law), you shall be asked to consent to SG conducting a due diligence/background investigation on you.

This job description should not be interpreted as all-inclusive; it is intended to identify major responsibilities and requirements of the job. The employee in this position may be requested to perform other job-related tasks and responsibilities than those stated above. SG is an Equal Opportunity Employer and does not discriminate against applicants due to race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

Instant Product Pricing Analyst employer: SCIENTIFIC GAMES

Scientific Games is an exceptional employer, offering a dynamic work environment in our modern Watford office where collaboration and service excellence are at the forefront of our culture. Employees benefit from opportunities for professional growth within a global leader in lottery and gaming solutions, while contributing to meaningful projects that support vital causes such as healthcare and education. Join us to be part of a team that values innovation, continuous improvement, and long-term partnerships with our clients.

SCIENTIFIC GAMES

Contact Details:

SCIENTIFIC GAMES Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Instant Product Pricing Analyst

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We think you need these skills to ace Instant Product Pricing Analyst

Pricing Analysis
Financial Modelling in Excel
Capacity Evaluation
RFP Processes
Commercial Analytics
Quantitative Analysis
Competitive Intelligence

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 SCIENTIFIC GAMES, 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 SCIENTIFIC GAMES

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 SCIENTIFIC GAMES’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.