
Description:
Manager Commercial Analytics / Pricing Strategy
Location: Pune, India
Experience: 1015 Years
Role Overview
- This role will work closely with sales, marketing, finance, and global stakeholders to build scalable analytical frameworks, optimize pricing strategies, and enhance operational efficiency through automation and advanced analytics.
Key Responsibilities
Commercial Analytics & Pricing Strategy
- Lead pricing analytics, revenue optimization, and yield management initiatives to improve commercial performance.
- Conduct RFP analysis, deal pricing, and commercial modelling to support strategic customer negotiations.
- Perform P&L analysis and financial modelling to evaluate pricing recommendations and revenue opportunities.
- Develop data-driven frameworks for pricing strategy and commercial decision making.
Data Analytics & Business Intelligence
- Build and implement data models, dashboards, and reporting frameworks using BI tools.
- Leverage SQL, Power BI, VBA, SAS, or other analytical tools to generate insights for pricing and revenue decisions.
- Identify opportunities for process automation and analytics-driven workflow improvements.
- Develop scalable reporting and visualization solutions for business stakeholders.
Stakeholder & Cross-Functional Collaboration
- Collaborate with global stakeholders across sales, marketing, and finance to support commercial strategy initiatives.
- Translate complex analytical insights into actionable business recommendations.
- Drive alignment across teams on pricing strategy, deal evaluation, and revenue planning.
Leadership & Strategic Initiatives
- Lead and mentor pricing analysts and data analytics teams.
- Introduce analytical frameworks and automation initiatives to improve team efficiency.
- Support strategic planning, forecasting, and performance governance for commercial initiatives.
Required Skills & Experience
- 10 TO 15 years of experience in pricing analytics, commercial strategy, revenue management, or business analytics.
- Strong expertise in data analytics, data modelling, and business intelligence.
- Experience in deal pricing, RFP analysis, revenue optimization, and P&L evaluation.
- Proficiency in SQL, Power BI, VBA, SAS, or other BI/analytics tools.
- Strong stakeholder management and communication skills.
- Ability to solve complex business problems using structured analytical approaches.
Preferred Skills
- Experience in advanced analytics, automation, or data engineering.
- Exposure to RPA, AI-driven analytics, or predictive modelling.
- Background in logistics, transportation, consulting, telecom, or digital platforms.
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