Own and continuously improve pricing logic, pricing models, and automation frameworks to support scalable, data-driven pricing decisions
Design, implement, and monitor pricing strategies to optimize key business metrics including gross margin, revenue, and competitiveness
Lead pricing experimentation and testing (e.g., elasticity analysis, competitive pricing tests, promotions), translating results into clear recommendations for leadership
Partner with Merchandising, Marketing, and Product teams to identify pricing opportunities, risks, and performance gaps
Work cross-functionally to define data requirements, analytical approaches, and modeling needs
Perform data exploration, statistical analysis, and visual storytelling, automating recurring business reports
Build and maintain scalable dashboards and self-service analytics tools that adapt to evolving business needs
Identify opportunities to optimize costs and streamline processes through analytics and automation
Clearly communicate complex findings in a concise, executive-ready format to technical and non-technical audiences

Bachelor’s degree in Statistics, Economics, Business, Marketing, or another quantitative field
5–7 years of professional experience in data analytics, with a strong focus on pricing, revenue, or monetization analytics
Strong experience with Tableau or similar data visualization tools
Proficiency in Python, including Pandas, NumPy, and data visualization libraries
Solid experience with SQL
Strong analytical skills with exceptional attention to detail
Ability to manage multiple priorities and work effectively in a deadline-driven environment
Excellent written and verbal communication skills
Proven ability to deliver insights and present findings clearly to stakeholders

Senior Data Analyst

Key skills