India Job Openings

Lowe's

Senior Analyst (Loyalty Analytics)

Bengaluru

FULL TIME

September 6, 2024

About Lowe’s
Lowe's Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 17 million customer transactions a week in the U.S. With total fiscal year 2022 sales of over $97 billion, approximately $92 billion of sales were generated in the U.S., where 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 and helping to develop the next generation of skilled trade experts.

About Lowe’s India
At Lowe's India, we are the enablers who help create an engaging customer experience for our $97 billion home improvement business at Lowe's. Our 4000+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market.

Senior Analyst (Loyalty Analytics) – Merchandising Finance, Marketing
About the Team
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 Marketing Team 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.

Job Summary
As the Senior Analyst for Marketing & Loyalty Program Insights, 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 customer targeting strategies, customer trends in our loyalty programs and make actionable recommendations to the customer marketing team. 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 has the ability to 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 customer data to drive rapid and real time insights to our customer marketing team. This role drives value by enabling improvements within our loyalty programs. With a focus specifically on Customer Analytics Implementation, this role provides advanced data capture capabilities to support long term strategy of our marketing programs.

Leverage large data environments and data warehouses to extract, curate, and analyze customer data.
Provide data-driven insights to enhance customer targeting strategies and improve the effectiveness of loyalty programs.
Identify and analyze customer trends within loyalty programs to make actionable recommendations to the customer marketing team.
Focus on implementing customer analytics to drive real-time and rapid insights for the customer marketing team.
Support the long-term strategy of marketing programs by providing advanced data capture and analytics capabilities.
Collaborate closely with the customer marketing team to understand their needs and deliver insights that drive value.
Utilize strong data mining and organization skills to work efficiently within large data environments.
Ensure data integrity and accuracy in all analyses and reports.
Continuously explore new data sources and analytical techniques to improve customer insights.
Contribute to the development and refinement of loyalty program strategies through data-driven insights.

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)
3 years of analytic experience spanning areas such as 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,Excel, 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

Master's 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

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