$ cat jobs/instant-product-pricing-analyst-scientific-games-09c7461ab9c7.json
Instant Product Pricing Analyst
Scientific Games : 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 b