Bengaluru, Karnataka, India
Onsite
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
About the Team
Our team focuses on understanding how inventory moves through the store ecosystem—from replenishment and on-hand accuracy to sell-through, stockouts, overstocks, and fulfillment readiness. We build scalable analytics, reporting, and decision-support solutions that help business teams identify opportunities, prioritize actions, and measure outcomes.
The team combines strong business knowledge with advanced analytics to answer critical questions such as:
* Are customers able to find the products they need in store?
* Where are inventory gaps, excesses, or accuracy issues affecting performance
* Which items, categories, or locations require attention?
* How can inventory decisions improve sales, customer experience, and productivity
By delivering trusted data products and clear, actionable insights, Store Inventory Analytics helps ensure the right products are available in the right stores at the right time.
Job Summary:
executing direction from leadership, delivering results that align with strategic objectives, communicating critical information to other teams, managing vendor relationships, developing processes that align to organizational goals, specific technical skills required for managing a process.
The primary purpose of this role is to build, maintain, and validate reusable analytical data assets that enable trusted reporting, self-service analytics, dashboards, AI-assisted insights, and business decision-making. This includes following data engineering best practices, developing accurate and scalable data logic, supporting semantic layer development, and ensuring that metrics and datasets are consistent, documented, and reusable.
This role aids in supporting one functional area of the business in partnership with Analytics, Product, Engineering, Data Engineering, and other team members. The Data engineer works with guidance from senior team members to translate business and reporting needs into governed analytical models, reusable queries, semantic layer objects, data quality checks, and self-service reporting assets.
Roles & Responsibilities:
Core Responsibilities:
Years of Experience:
Education Qualification & Certifications (optional)
Required Minimum Qualifications:
Minimum Qualifications
Skill Set Required
Primary Skills (must have)
Experience working with large, complex, or unstructured data in a retail environment.
Experience working with enterprise-level databases, cloud data platforms, or data warehouses such as GCP, BigQuery, Hadoop, Teradata, Azure, Oracle, DB2, Snowflake, or similar platforms.
Experience with semantic layer, business intelligence, or self-service reporting tools such as Looker, Looker Core, Power BI, Tableau, MicroStrategy, or similar tools.
Experience with LookML, dbt, SQL-based transformation frameworks, semantic modeling tools, or similar data engineering technologies.
Exposure to version control, code review, testing frameworks, release management, documentation standards, or deployment practices.
Experience with data quality checks, metric validation, dashboard reconciliation, or change-impact analysis.
Experience supporting self-service analytics, dashboard rationalization, reporting automation, or metric governance initiatives.
Lowe’s is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, 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 state or local law. Lowe’s wishes to maintain appropriate standards and integrity in meeting the requirements of the Information Technology Act’s privacy provisions.
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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