Business Strategy Specialist

8 hours ago


Bengaluru, Karnataka, India PriceEasy AI Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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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