Retail Analytics Specialist

eSuccess; Dadri; On-site; INR 600,000 - 900,000; Full time

Job summary

eSuccess is seeking a Retail Analytics Specialist to help retailers make data-driven decisions by analyzing sales, customer behavior, inventory, market trends, and store performance. This role focuses on delivering insightful dashboards and forecasting to guide profitability and expansion strategies.

You will work on developing forecasting models, reporting frameworks, and stakeholder presentations to enable data-backed decisions across retail operations.

Qualifications

• Full‑time Engineering degree in Data Science/ AI&ML/ Computational Mathematics/ Statistics or related field.
• Relevant certifications or notable achievements in retail analytics, consumer behavior, market research, business strategy, or interdisciplinary programs.

Responsibilities

• Analyze retail, customer, inventory, and sales data.
• Build dashboards, reports, and performance monitoring frameworks.
• Support store performance analysis and site selection initiatives.
• Develop forecasting models for sales, demand, and inventory planning.
• Identify trends and opportunities to improve business performance.
• Present actionable insights and recommendations to stakeholders.

Skills

Retail analytics

Business intelligence

SQL

Power BI

Tableau

Predictive analytics

Forecasting

Communication

Presentation skills

Education

Engineering degree in Data Science/AI/ML/Statistics

Tools

SQL

Power BI

Tableau

Job description

Role: Retail Analytics Specialist

Job Type: Full Time

Job Location: Noida (Onsite)

About the role:

A Retail Analytics Specialist helps retailers make data-driven business decisions by analyzing sales, customer behavior, inventory, market trends, and store performance. This role plays a key part in improving profitability, operational efficiency, and retail expansion strategies.

Requirements:

Education Qualification:

Full‑time Engineering degree in Data Science/ AI&ML/ Computational Mathematics/ Statistics or related field.

Added Advantage:

Relevant certifications or notable achievements in retail analytics, consumer behavior, market research, business strategy, or interdisciplinary programs.

Required Skills:

• Experience in retail analytics, business intelligence, or data analytics.
• Strong understanding of retail KPIs and customer analytics.
• Experience with SQL, Power BI, Tableau, or similar tools.
• Knowledge of predictive analytics and forecasting techniques.
• Strong analytical, communication, and presentation skills.

Responsibilities:

• Analyze retail, customer, inventory, and sales data.
• Build dashboards, reports, and performance monitoring frameworks.
• Support store performance analysis and site selection initiatives.
• Develop forecasting models for sales, demand, and inventory planning.
• Identify trends and opportunities to improve business performance.
• Present actionable insights and recommendations to stakeholders.