Lead Analyst, Merch Ops Analytics

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

The Merch Ops Analytics team supports the Assortment Planning function at Lowe’s to assist in item level planning across all Lowe’s stores. The team provides leverages advanced analytics to gather insights and share recommendations to the business in optimizing assortments via SKU Rationalization, Product Line Reviews and other strategic initiatives to ensure that Lowe’s stocks the right product in the right store in the right quantity.

Job Summary:

The principal purpose of the Lead Analyst is to be the Analytics partner with the Merchandising organization and deliver the insights and recommendations to drive a deeper understanding of product categories. This information will be utilized by Merchandising teams as they work to create an optimal strategy for their product category, which in turn will influence different merchandising strategies across all our fulfillment channels.

To accomplish this, the Lead Analyst must have solid knowledge of retail and/or business analytics. This position is responsible for following analytical best practices, accurately reporting and analyzing results and identifying insights for decision making, determine additional research/analytics that may be needed to enhance the solution, coordinate with cross-functional teams to ensure project continuity and strategic alignment & lead a team of analysts to deliver best in class solutions

Roles & Responsibilities:

Core Responsibilities:

• Solves problems and shares information to enable alignment across the organization in order to facilitate better decision making by collaborating with a team of peers, providing support to functional areas for product line reviews, business reviews & strategic initiatives
• Enables business partners to make informed decisions based on root cause drivers of performance by working with functional partners to develop and maintain scorecards, analyzing and providing insights and performance analysis
• Communicates financial and non-financial analysis and insights to leaders by preparing analyses through leveraging multiple data sources; identifying complete, consistent, and actionable insights & recommendations; translating insights into clear, understandable themes
• Demonstrate resourcefulness and resilience in the face of change, obstacles, and adversity. This includes adapting to competing demands and shifting priorities. This also includes improving adaptability, pursuing new skills and knowledge, and regularly seeking feedback from others
• Lead teams to deliver high quality analysis across complex projects
• Project management for their entire scope of work including allocation of work, managing communication with global partners & tracking progress against milestones
• Setting up processes/workflows in an efficient & effective manner utilizing the best tools available in the organization
• Mentor team members on technology/ process/ domain skills

Years of Experience:

• 6+ years’ experience in Data Analytics

Education Qualification & Certifications (optional)

Required Minimum Qualifications:

• Bachelor's degree in business, Engineering, Statistics, Economics or any other Quantitative discipline

Skill Set Required

Primary Skills (must have)

Key Skills: Python, Power Bi, Advance SQL, Statistical modelling, clustering techniques

• Wrangling data using complex SQLs and data extraction processes using data tools like SQL Assistant, DBeaver, etc. across databases in Hadoop & GCP
• Experience working with big data & performing data transformations using Python (preferred), SAS, R etc.
• Advanced proficiency in MS Excel and experience in creating reports & dashboards
• Advanced proficiency in business intelligence and reporting tools such as Power BI (preferred), MicroStrategy, Tableau etc.
• Experienced in leading teams to deliver high quality analytical solutions
• Demonstrated experience working cross-functionally and with global partners
• Experience in clustering techniques such as K-means, DBSCAN etc.
• Experience with statistical modelling such as Time Series, Linear & Logistic Regression

Secondary Skills (desired)

• 3+ year experience in Retail category analytics working directly with merchants
• Ability to build advanced statistical techniques / machine learning based solutions for business problems related to Merchandising

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.