Sr. RGM Analyst

Moen•Deerfield, IL
•Hybrid

About The Position

The Senior Analyst, Revenue Growth Management, drives profitable sales growth by providing actionable insights and strategic recommendations concerning pricing, promotions, assortment, and market trends. The role uses internal and external data to identify opportunities and challenges and partners with cross-functional teams to support data-driven decisions and go-to-market strategies across retail, commercial, eCommerce, and direct-to-consumer channels. The position develops and leads pricing, promotion, and assortment analytics; recommends actions to improve sales and profitability; conducts competitive pricing and market analyses; and presents findings to stakeholders. It also designs and implements pricing models, analyzes promotional plans and results, develops customer-, channel-, and category-specific promotional strategies, and models their financial effects. The analyst defines KPIs, builds dashboards, improves reporting processes, develops tools to measure pricing and promotional effectiveness, and applies statistical techniques such as regression, clustering, and predictive modeling. The role also supports annual business planning, category management, and channel strategy, and influences cross-functional decisions by communicating complex insights clearly. This is a hybrid position based at the company’s Deerfield, Illinois campus, with flexibility to work remotely on Mondays and Fridays.

Requirements

  • Bachelor’s degree in Business, Economics, Finance, Statistics, or a related field.
  • At least 5 years of relevant experience, including at least 3 years in Revenue Growth Management, Pricing, Category Management, Sales, Finance, or a related analytical discipline.
  • Strong understanding of business and financial metrics, including Gross Margin, Net Margin, Market Share, Price Elasticity, ROI, and CAGR, and ability to explain their calculations, insights, and implications to technical and non-technical audiences.
  • Advanced analytical skills and experience working with large, complex datasets to identify trends, develop recommendations, and inform business decisions.
  • Experience developing predictive models and applying statistical techniques such as regression, classification, clustering, and other quantitative analyses.
  • Advanced Microsoft Excel skills, including analyzing large-scale datasets.
  • Proficiency with data visualization tools such as Tableau, Power BI, or similar platforms.
  • Strong communication and presentation skills, with the ability to translate complex analyses into clear, compelling, decision-ready insights.
  • Ability to partner across Sales, Marketing, Finance, Category Management, and other functions to develop revenue growth strategies, influence stakeholders, build alignment, and drive results.
  • Ability to navigate ambiguity, evaluate competing perspectives, and solve complex business problems using data and sound judgment.
  • Record of delivering accurate, high-quality work with measurable business impact and attention to detail.
  • Ability to manage multiple priorities, adapt to changing business needs, and maintain urgency in a fast-paced environment.
  • Intellectual curiosity, a continuous learning mindset, and enthusiasm for exploring new technologies, tools, and analytical approaches.

Nice To Haves

  • Master’s degree.
  • Experience in retail environments with price elasticity and market modeling.
  • Proficiency in data preparation and transformation tools such as Alteryx or Talend.
  • Familiarity with business intelligence platforms and advanced analytics tools.

Responsibilities

  • Develop and lead analytics for pricing, promotions, and assortment in partnership with Sales, Finance, and Marketing.
  • Provide data-driven recommendations to optimize sales and profitability.
  • Conduct competitive pricing and market-condition analyses, and present recommended adjustments and opportunities to cross-functional stakeholders.
  • Design pricing models to maximize revenue and profitability, and lead their implementation with cross-functional support.
  • Monitor and analyze planned and completed promotional activities by item, channel, and category.
  • Create promotional strategies by customer, channel, and category, and forecast their impact on internal and customer-facing financial metrics.
  • Lead internal customer line review processes and analyses, modeling impacts on internal and customer-facing metrics.
  • Define KPIs and build dashboards to track and monitor performance.
  • Improve pricing, promotion, and assortment reporting processes for efficiency and consistency.
  • Develop and refine tools for Sales and Marketing to measure pricing and promotional effectiveness.
  • Use advanced statistical tools and techniques, including regression, clustering, and predictive modeling, to generate insights.
  • Identify and implement new data sources and analytical tools to strengthen business strategies.
  • Influence cross-functional strategic decisions as a pricing and promotions thought leader.
  • Support annual business planning, category management, and channel strategy development.
  • Present complex data insights clearly and persuasively to stakeholders at all levels.

Benefits

  • Annual bonus plan based on company and individual performance, or a role-based sales incentive plan.
  • Comprehensive health plans.
  • 401(k) program with a company contribution.
  • Product discounts.
  • Flexible time off benefits.
  • Adoption benefits.
  • Employee Resource Groups (ERGs).
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service