Senior Analyst - Retail, E-commerce & Analytics

About Lowe s

Lowe s Companies, Inc. (NYSE: LOW) is a FORTUNE 50 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2023 sales of more than $86 billion, Lowe s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Bengaluru, Lowe s India develops innovative technology products and solutions and delivers business capabilities to provide the best omnichannel experience for Lowe s customers. Lowe s India employs over 4,200 associates across technology, analytics, merchandising, supply chain, marketing, finance and accounting, product management and shared services. Lowe s India actively supports the communities it serves through programs focused on skill-building, sustainability and safe homes. For more information, visit, www.lowes.co.in .

Senior Analyst (Category Insights) - Merchandising Finance

The Financial Decision Support & Analytics (FDS&A) team is responsible for providing analyses, insights and reporting that help identify drivers of performance and guide appropriate tactical actions to improve financial outcomes.

We are seeking a dynamic and passionate Senior Analyst to support the Merchandising Finance team. This role will be responsible for partnering directly with Merchandising Finance GFOs and other Finance Partners to deliver insightful and proactive analysis that drive fact based, data driven decision making. The Merchandising Finance partner has a seat at the table and will work with the business to challenge the status quo and dive deep to solve complex business problems.

Your primary responsibility is to leverage our data warehouses to work in large data environments and curate to provide insights to our customer marketing organization. You will leverage data-driven insights to enhance Product/Brand Performance, customer targeting strategies, Promotional Insights and customer trends in our loyalty. This role requires a blend of analytical expertise as well as strong data mining and organization skills.

The successful candidate will be a creative thinker with a strong bias to action that can collaborate across Finance. This role requires a self-starter with strong analytics acumen and problem-solving skills. The candidate should have a proven track record of influencing and supporting decisions in a fast-paced, high-energy environment.

Key Responsibilities :

The primary purpose of this role is to leverage Financial Metrics and customer buying patterns to drive rapid and real time insights to our GFO team.

Qualifications
Minimum Qualifications
Bachelor s Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field (or equivalent work experience in a related field)
4-5 years of analytic experience spanning areas such as Merchandising, Category/Assortment, Brands, Marketing and customer functions

Demonstrate ability to think beyond raw data and to understand the underlying business context and identify business opportunities.
Strong experience with analytical tools like SQL, Advanced Excel, Python, Power BI, Hadoop
Experience performing advanced data modeling, data mining and exploratory data analysis
Experience translating business requirements into analytics models
Experience working cross-functionally

Preferred Qualifications
Masters Degree in Statistics, Mathematics, Data Science, Engineering or related field
Programming experience and data science using tools
Experience supporting retail loyalty programs
Experience in home improvement retail