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Logile, Inc. is hiring Business Analyst – Retail - Recruitment 2026

Logile, Inc. is hiring for the position of Business Analyst – Retail in Bhubaneswar, Odisha, India. Role level: Mid-Senior level (Full-time). Interested candidates can view requirements and submit their application online.

At a glance
OrganisationLogile, Inc.
QualificationMid-Senior level (Full-time)
SalaryNot disclosed
LocationBhubaneswar, Odisha, India
CategoryIT & Software
Source / PublisherLinkedIn Jobs India

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Logile, Inc. has announced open job opportunities for Business Analyst – Retail in Bhubaneswar, Odisha, India.

Job Overview

  • Hiring Company: Logile, Inc.
  • Job Title / Role: Business Analyst – Retail
  • Location: Bhubaneswar, Odisha, India
  • Employment Type: Full-time
  • Seniority Level: Mid-Senior level
  • Industry: Retail
  • Sector: Private / Corporate
  • Application Source: Verified LinkedIn Listing

Job Description & Key Responsibilities

Total years of experience needed: 3+yrs

Key Responsibilities

Advanced Analytics & Root-Cause Analysis

  • Root-Cause Analysis (RCA): Lead RCAs on volatile business shifts (e.g., sudden sales dips, inventory stockouts, or spikes in returns and shrinkage) and deliver quick-turnaround, actionable recommendations.
  • Cohort & Funnel Analysis: Apply cohort analysis, funnel tracking, and statistical forecasting techniques to predict peak seasonal retail demand (holiday, promotional, back-to-school, and other high-volume periods).
  • Decision Models: Build heuristic and predictive models to uncover opportunities for incremental revenue and operational efficiency across stores and categories.

BI Engineering & Data Architecture

  • Data Visualization: Build and maintain enterprise-level Power BI dashboards using DAX and Power Query to surface store, category, and executive-level insights.
  • ETL Pipeline Support: Support the development and ongoing execution of data pipelines using SSIS, SSAS, or modern data orchestration tools.
  • Data Quality Assurance: Own SQL views, stored procedures, and data models that feed reporting and analytics, ensuring data validity and consistency.

Collaboration & Stakeholder Management

  • Cross-Functional Partnership: Act as a key analytics partner to Product, Merchandising, Store Operations, and Engineering teams, translating raw data into decisions and feature improvements.
  • Knowledge Sharing: Support and mentor junior analysts on analytical approach, SQL, and dashboard best practices.

Strategic Business Drive & Domain Analytics

  • Revenue & Pricing Optimization: Analyze demand-supply gaps, inventory utilization, and pricing effectiveness across stores, categories, and regions.
  • Conversion & Funnel Management: Deep-dive into customer checkout behavior, cart and basket drop-offs, and return or cancellation bottlenecks to drive retention.
  • Campaign & Loyalty Analysis: Partner with marketing teams to design, track, and optimize loyalty programs and promotional campaigns.

How to Apply via LinkedIn

  1. Click the direct Apply on LinkedIn button below.
  2. Log in with your LinkedIn account to view the full job post and employer details.
  3. Submit your application directly using the Easy Apply or external company portal link.

Note: Applicants are advised to review the official job requirements on LinkedIn before submitting personal details.