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DIH Intern, Store Operations

Lowe's

DIH Intern, Store Operations

Lowe's

Bengaluru

·

On-site

·

Internship

·

1w ago

Benefits & Perks

Gym

Remote Work

Gym

Remote Work

Required Skills

SQL

Python

Data visualization

Statistical modeling

Innovate in Bengaluru

This position is based at our on-site office in Bengaluru. Lowe's offers an ultramodern work environment, complete with cutting-edge technology, collaborative workspaces, an on-site gym and clinic, and other perks to enhance your work experience.

About Lowe’s

Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.

Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India

INTERN, Store Operations

Location: Bangalore |Business Group: Business Operations

About the Team

The Store Ops team in Bangalore supports Lowe’s US Store Operations by delivering actionable insights on sales, inventory, transactions, and in-store processes. The team drives project-level initiatives through analysis and reporting to improve operational efficiency.

Job Summary

The Store Ops Analyst provides rapid insights and supports initiatives related to sales floor processes (inventory, selling, tasking). The role involves deep analysis of store operations to identify patterns, variations, and improvement opportunities, enabling data-driven decisions across inventory, merchandising, and technology.

Responsibilities & Skills

  • Analyze large, complex datasets (transactional, operational, customer) to deliver actionable insights for store operations.
  • Develop data-driven solutions using SQL, Python, and Big Data tools (Hive, Hadoop, Spark, GCP); automate workflows and apply statistical/machine learning techniques for forecasting and risk prediction.
  • Build dashboards and reports using Tableau/Power BI; communicate insights effectively to non-technical stakeholders.
  • Perform ad-hoc analysis, support A/B testing, and measure impact of strategic initiatives.
  • Collaborate with cross-functional teams (Store Ops, Merchandising, inventory teams ) to co-create solutions.
  • Must-have skills: SQL & Python, Big Data familiarity, cloud platforms (Snowflake, Redshift, BigQuery), data visualization expertise, statistical modeling knowledge, and understanding of store operations metrics.

Experience

  • 2-4 years in data analytics/operational analysis (retail preferred).

Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.

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About Lowe's

Lowe's

Lowe's

Public

Specializing in home improvement.

10,001+

Employees

Mooresville

Headquarters

Reviews

3.4

4 reviews

Work Life Balance

2.0

Compensation

1.5

Culture

2.5

Career

1.8

Management

1.5

15%

Recommend to a Friend

Pros

Work environment can be enjoyable

The actual work itself

Basic employment opportunity

Cons

Very low wages and poor salary growth

Benefits being stripped away or eliminated

Poor management and leadership

Salary Ranges

19 data points

Mid/L4

Senior/L5

Director

Mid/L4 · Data Engineer

3 reports

$137,471

total / year

Base

$105,747

Stock

-

Bonus

-

$137,471

$137,471

Interview Experience

52 interviews

Difficulty

4.1

/ 5

Duration

21-35 weeks

Offer Rate

23%

Experience

Positive 68%

Neutral 16%

Negative 16%

Interview Process

1

Recruiter Screen

2

ML Coding

3

ML System Design

4

Research Discussion

5

Team Interviews

Common Questions

ML fundamentals

Design an ML system

Research paper discussion

Statistical concepts