JOB SUMMARY: Responsible for analyzing internal and external data to identify pricing and promotion optimization opportunities, assess margins and demand elasticities, and forecast pricing scenarios. Supports strategy execution and collaborates with cross-functional teams to ensure alignment with business objectives. RESPONSIBILITIES / DUTIES: 1. Analyze pricing and promotional performance to identify optimization opportunities across products, customers, and channels. 2. Develop and maintain statistical models (preferably using statistical software such as R, Python, or similar) to estimate elasticity, forecast pricing scenarios, and evaluate promotion effectiveness. 3. Evaluate gross margin impacts of pricing and promotion decisions, including their downstream effects on the full P&L, to support financially sound recommendations. 4. Translate complex data into actionable insights using Excel and Power BI, with strong storytelling skills to clearly communicate findings and influence decisions. 5. Collaborate with internal stakeholders (sales, finance, marketing) to support decision-making and align pricing actions with business priorities. 6. Support the review of promotional plans by estimating potential volume uplifts and financial implications of proposed changes. 7. Prepare reports, summaries, and presentations that communicate key pricing insights in a clear, business-oriented manner. 8. Contribute to continuous improvement of analytical approaches and pricing methodologies in coordination with cross-functional teams. REQUIREMENTS: · Bachelor’s degree in Economics, Engineering, Business, Statistics, or related field · 1–3 years of experience in Revenue Growth Management (RGM), pricing, finance, commercial analytics, or related areas (CPG preferred) · Strong analytical and problem-solving skills, with the ability to interpret large datasets and draw business-relevant conclusions · Proficiency in Excel and Power BI for data exploration and model building · Familiarity with statistical modeling tools (e.g., Python, R, or other statistical software) is a strong plus · Solid understanding of P&L structure, pricing mechanics, and promotional dynamics · Strong communication and storytelling skills, with the ability to turn analysis into clear business recommendations · Curious, proactive, and comfortable working in a fast-paced, evolving environment with multiple stakeholders WHAT WILL SET YOU APART: · Ability to navigate both sales and finance environments, understanding the trade-offs between commercial execution and financial impact · Adaptability and eagerness to learn · Familiarity with statistical modeling tools (e.g., Python, R, or other statistical software) is a strong plus WORKING CONDITIONS · Normal office environment with little exposure to noise, dust and temperatures. · The ability to lift, carry or otherwise move objects like desktops, printers and monitors is necessary. · Normally works hours: 3 days in office, 2 days remote · Travel 10% of the time Salary Range: $70,000- $80,000