Senior Data Analyst - Retail Domain

JK Technology; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

JK Technology in Bengaluru seeks a seasoned Domain Data Analyst with deep Retail industry expertise to turn data into actionable insights and drive business performance.

You will collaborate with Merchandising, Supply Chain, Store Operations and E-commerce to translate challenges into analytics frameworks, build dashboards, and guide strategic initiatives.

The role requires strong SQL and BI skills, experience with large datasets, and the ability to tell data stories to senior leaders.

Qualifications

• 7–10 years of domain data analytics experience in retail industry.
• Strong proficiency in SQL and Excel.
• Experience with Power BI or Tableau for dashboards.
• Experience with Python or R preferred.
• Ability to translate business problems into analytics frameworks.
• Excellent stakeholder communication and presenting insights.

Responsibilities

• Understand business domain and objectives across retail teams.
• Translate problems into data-driven analytics frameworks.
• Analyze large datasets to identify trends in sales, inventory and pricing.
• Develop dashboards and reports for stakeholders; track key metrics.
• Support demand forecasting, assortment planning and pricing optimization.
• Collaborate with data science on AI/ML use cases.
• Present insights to senior leadership and influence decisions.
• Ensure data quality and reliable pipelines with engineering teams.

Skills

SQL

Excel

Retail domain

Stakeholder communication

Data storytelling

Analytical thinking

Education

Bachelor's degree in engineering, Statistics, Economics, or related field

Tools

Power BI

Tableau

Python

R

Data Warehouses

Job description

Job Summary

Role Overview We are looking for a seasoned Domain Data Analyst with deep expertise in the Retail industry to drive data-driven decision-making across business functions. The role requires a strong blend of analytical capabilities and retail domain understanding to generate actionable insights, improve business performance, and support strategic initiatives.

Responsibilities

• Business Domain Understanding
• Partner with retail business teams (Merchandising, Supply Chain, Store Operations, E-commerce) to understand key challenges and objectives
• Translate business problems into data-driven analytical frameworks
• Provide domain-led insights aligned with retail KPIs and business priorities
• Data Analysis Insights
• Analyze large datasets to identify trends, patterns, and opportunities across sales, inventory, pricing, and customer behavior
• Perform root cause analysis for business issues such as declining sales, stockouts, or margin leakage
• Deliver actionable recommendations to improve revenue, margins, and operational efficiency
• Reporting Visualization
• Design and develop dashboards and reports for business stakeholders
• Track and monitor key retail metrics such as: Sales, footfall, conversion rates
• Inventory turnover, stock availability
• Basket size, customer lifetime value
• Ensure timely and accurate reporting to support decision-making
• Advanced Analytics Use Cases
• Support demand forecasting, assortment planning, and pricing optimization initiatives
• Drive customer segmentation and personalization strategies
• Collaborate with data science teams on AI/ML use cases
• Stakeholder Management
• Act as a bridge between business, technology, and analytics teams
• Present insights and recommendations to senior leadership
• Influence decision-making through data-backed storytelling
• Data Governance Quality
• Ensure data accuracy, consistency, and reliability across systems
• Work with engineering teams to improve data pipelines and availability

Qualifications

• Bachelor s/master s degree in engineering, Statistics, Economics, or related field

Requirements

• Experience: 7-10 Years
• Location: Bengaluru

Key Skills & Competencies

• Strong proficiency in: SQL, Excel
• Data visualization tools (Power BI, Tableau)
• Working knowledge of Python/R (preferred)
• Experience working with large datasets and data warehouses
• Domain Expertise (Retail)
• Strong understanding of: Retail operations (store online)
• Merchandising assortment planning
• Supply chain inventory management
• Pricing and promotions
• Analytical
• Business Skills
• Strong problem-solving and analytical thinking
• Ability to derive insights and link them to business outcomes
• Data storytelling and presentation skills
• Soft Skills
• Stakeholder management and communication
• Ability to work in cross-functional teams
• Proactive and solution-oriented mindset