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Business Strategy Specialist

Business Strategy Specialist

PriceEasy AIBengaluru, Karnataka, India
1 day ago
Job description

About PriceEasy

PriceEasy is a fast-growing SaaS and AI company transforming how global convenience retailers optimize pricing , in-store margins , location planning , pricebook management , smart ordering , and operational performance.

Our platform processes trillions of data points to give retailers real-time insights that increase profitability, improve decision-making, and unlock new revenue opportunities.

As we expand globally, we are building a world-class Strategy & Insights team that partners directly with clients to deliver high-impact analysis and strategic recommendations.

Role Overview

The Strategy Analyst will work directly with PriceEasy clients —helping them analyze performance, uncover insights, and make data-driven strategic decisions across pricing, profit optimization, customer behavior, and store operations.

This role is a hybrid between data analytics, consulting, and business strategy , ideal for someone who wants to work with clients, solve real retail problems, and produce high-quality insights that drive measurable ROI.

You will collaborate closely with Customer Success, Product, Data, and Implementation teams—but your primary focus is client consulting and analysis , not internal corporate strategy.

Key Responsibilities 1. Client-Facing Strategic Analysis

  • Work with clients to understand their business goals across pricing, margins, product mix, store performance, and network strategy.
  • Run deep-dive analyses using PriceEasy’s platform data—fuel pricing, pricebook, inventory, ordering, customer insights, and location intelligence.
  • Build clear, story-driven insight decks showing trends, risks, opportunities, and recommendations.
  • Support strategic planning discussions during weekly client calls, reviews, and QBRs.

2. Advanced Data & Financial Modeling

  • Develop Excel / Sheets models for :
  • Price / margin optimization
  • Fuel elasticity & demand modeling
  • Product mix & category profitability
  • Smart ordering recommendations
  • Network planning & trade area analysis
  • Create structured frameworks to help clients understand performance and drive decisions.
  • 3. Business Insights & Advisory

  • Identify business opportunities such as missed pricing opportunities, product gaps, inefficient ordering patterns, or low-performing SKUs.
  • Work closely with CSMs to translate analysis into actionable recommendations for store operations, merchandising, and pricing teams.
  • Help clients understand how to leverage PriceEasy modules for maximum ROI.
  • 4. Reporting, Dashboards & Communication

  • Build standardized reports and executive-style presentations for client stakeholders.
  • Summarize insights in a simple, concise, visual format.
  • Present findings during client meetings and serve as an analytical advisor.
  • 5. Cross-Functional Collaboration

  • Work with Data, Product, and Engineering teams to improve quality of insights and enhance analytical workflows.
  • Partner with Implementation teams for data validation, KPI setup, and new client onboarding.
  • Qualifications Must-Have

  • Graduated from a top-tier business or engineering school (IIM / ISB / IIT / BITS / top NITs).
  • 2–6 years of experience in :
  • Management strategy experience ,
  • Business analytics ,
  • Client-facing analytics / insights roles
  • Exceptional Excel and financial / modeling skills.
  • Strong analytical foundation with experience analyzing large business datasets.
  • Excellent communication skills with the ability to simplify complex insights for clients.
  • Comfortable presenting to client executives and leading insight conversations.
  • High ownership, structured thinking, and fast execution.
  • Preferred

  • Experience in SaaS, retail, pricing, FMCG, or analytics consulting.
  • Working knowledge of SQL / BI tools (Power BI, Tableau).
  • Experience supporting North America or global clients.
  • Who Thrives in This Role

  • Consultants who enjoy diving deep into data
  • Analysts who want to be client-facing, not internal-only
  • Fast, structured thinkers who can convert data into crisp recommendations
  • High-energy operators with strong storytelling and presentation skills
  • Individuals who want to solve real, high-impact retail problems every day
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