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Business Strategy Specialist

Business Strategy Specialist

PriceEasy AIBengaluru, India
17 hours 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 Responsibilities1. 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.
  • QualificationsMust-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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