About the Role
In this role, you will analyze pricing data, drive decision-making in alignment with broader analytics and company initiatives and collaborate cross-functionally both inside analytics and across the company
What You’ll Do
- Lead pricing modeling and analysis using sales, promotional landscape, competitor pricing and market trends to develop and recommend effective pricing strategies
- Implement and stress-test variety of dynamic pricing models (rule-based, statistical, ML/DL-based, non-linear optimizations) and strategies that align with revenue goals, margin targets and market positioning
- Conduct regular competitive pricing analyses to understand the market position and adjust pricing strategies as needed
- Monitor industry trends, consumer behavior and competitor promotions to stay informed of market shifts
- Utilize pricing and financial software to gather, analyze and interpret pricing performance data
- Create detailed reports and dashboards to communicate pricing impacts, trends and opportunities to key stakeholders
- Evaluate the impact of pricing changes on revenue and profitability, making data-driven recommendations for adjustments
- Partner cross-functionally with merchandising and pricing teams
- Additional tasks may be assigned
What Skills You Have
Required
- Bachelor’s degree in Business, Finance, Economics, Marketing or a related field
- Proven experience as a Pricing Analyst, preferably in the retail sector
- Strong analytical and quantitative skills with proficiency in data analysis tools such as Excel, SQL, Python, BI tools
- Experience with pricing optimization software and knowledge of pricing models
- Excellent communication skills, with the ability to present complex data to non-technical stakeholders
- Strong organizational and problem-solving abilities
- Excellent attention to detail
- Ability to manage multiple projects and meet deadlines
Preferred
- Knowledge of retail pricing and merchandising processes
- Familiarity with ERP and pricing software solutions
- Experience in dynamic or competitive pricing environments