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Only W2
Hybrid Position - 3 Days a Week Onsite
Job Description:
Key Responsibilities:
Only W2
Hybrid Position - 3 Days a Week Onsite
Job Description:
Key Responsibilities:
- Lead the global pricing analytics function, setting priorities and developing frameworks to assess pricing performance, customer behavior, and market dynamics
- Partner with executives in strategy, finance, product management, and sales to deliver actionable insights that directly influence pricing and monetization strategies
- Build and oversee advanced financial and statistical models to evaluate elasticity, willingness to pay, customer pricing/product feature preferences, and conduct sensitivity analysis
- Analyze sales transactional data, product usage, and financial data to identify areas for price optimization and monetization improvement
- Oversee the collection and analysis of market data, competitive intelligence, and customer behavior trends
- Lead development of pricing and discounting dashboards to track pricing and discounting performance across the portfolio
- Drive adoption of scalable pricing analytics tools, dashboards, and reporting to support data-driven decision-making at scale
- Present insights and recommendations to senior executives, including the C-Suite, in a clear and compelling manner
- Support continuous improvement of pricing operations and processes
- Recruit, lead, and mentor a team of analysts, fostering a culture of analytical rigor, innovation, and business impact.
- 6 - 8 years of experience in pricing analytics, revenue management, or financial/business analysis, ideally within High Tech, CPG, SaaS, or management consulting
- Proven track record of building and leading high-performing analytics teams
- Deep expertise in financial modeling, pricing analytics, and data visualization
- Proficiency with advanced analytics tools (SQL, Python, R, Tableau, Power BI, or similar)
- Exceptional communication skills with the ability to influence at the executive level
- Strong business acumen with experience working across cross-functional and global teams
- MBA or advanced degree in finance, economics, statistics, or data analytics
- Familiarity with subscription, consumption-based, and hybrid pricing models
- Experience building enterprise-wide analytics capabilities and scaling tools/processes