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.
| Organisation | Logile, Inc. |
|---|---|
| Qualification | Mid-Senior level (Full-time) |
| Salary | Not disclosed |
| Location | Bhubaneswar, Odisha, India |
| Category | IT & Software |
| Source / Publisher | LinkedIn Jobs India |
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
- Click the direct Apply on LinkedIn button below.
- Log in with your LinkedIn account to view the full job post and employer details.
- 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.
Important links
| Apply on LinkedIn | Click here |
|---|
Links go directly to the official website of the conducting authority / recruiting body.
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