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 Customer and Marketing Analytics team focuses on solving complex business problems for the Marketing and Loyalty organization. The team delivers actionable, data-driven insights to improve customer engagement, retention, and lifetime value.
We leverage advanced analytical techniques such as root cause analysis, hypothesis testing, A/B testing, and customer segmentation, along with modern AI tools (emerging AI models) to accelerate analysis, enhance storytelling, and drive smarter decision-making. The team is also evolving towards building AI-powered solutions and analytical agents to automate recurring analyses and enable analysts to focus on high-impact, enterprise-level problem solving.
Job Summary:
The primary purpose of the Sr. Analyst is to act as an analytical partner to the Customer and Marketing (Loyalty) organization, delivering deep insights and data-driven recommendations to enhance customer engagement, loyalty program effectiveness, and marketing performance. This role focuses on leveraging customer, transactional, and behavioral data to drive a deeper understanding of customer segments, and loyalty performance. The insights generated will directly influence marketing strategy, personalization, and customer experience initiatives. The Sr. Analyst will utilize multiple data sources, advanced analytics, and AI-enabled tools (including ChatGPT and emerging AI frameworks) to generate insights, streamline workflows, and support decision-making. Additionally, this role is expected to contribute towards building scalable analytical solutions and AI-driven agents for recurring use cases, while actively participating in enterprise-level initiatives requiring strategic thinking and actionable insights. The individual must demonstrate strong business acumen in customer and marketing analytics, work effectively in a matrixed organization, and influence stakeholders across levels.
Key Responsibilities
Contributes to or builds project plans, ensuring clear understanding of project requirements and timelines; translates complex business problems into smaller and easier analytical problems
Communicates project timelines, scope and expectations to stakeholders
Provides high quality and timely delivery with insights and recommendations
Communicates analyses and insights to leaders by summarizing conclusions and solutions; translates analytics and statistics into clear, understandable themes for business leaders; identifies specific analytic results that drive actionable insights
Utilizes depth of knowledge on how to best leverage disparate data sources, relevant internal/external data, and strong domain expertise, to deliver on a need of the business
Recommends actions and insights to drive business impact
Mentors/coaches Analysts, delegating appropriate work and ensuring that the analyses and insights are accurate, impactful, timely and efficient; provide guidance to them wherever necessary
Ensures the appropriate framework for measuring the impact of data analytics function is used where/when appropriate; ensures discussions of impact occur with stakeholders after each project
Partners with internal development teams to test and deploy new tracking solutions while monitoring and optimizing existing integrations
Required Qualifications
Bachelor’s degree Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field or equivalent years of experience in lieu of education requirement, if applicable
3 Years Related experience (fewer years may be accepted with a Masters or Doctorate degree)
2 Years Experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide)
1 Years Experience working with Enterprise level databases (e.g., Hadoop, Teradata, Aster, GCP, Azure, Oracle, DB2)
2 Years Experience using enterprise-grade data visualization tools (e.g., MicroStrategy VI, Power BI, Tableau)
1 Years Functional experience performing predictive analytics at a large scale enterprise
Preferred Qualifications
Master’s degree Business, Engineering, Statistics, Economics or related area
Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, TM1, Alteryx, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2)
Experience working with big, unstructured data in a retail environment
Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc.
Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny
Programming experience using tools such as R, Python
Data Science experience using tools such as ML, Text mining
Project management experience
2 Years Experience in digital analytics (or general analytics) using tools such as Adobe Analytics (SiteCatalyst, Ad-hoc, and Report Builder), Google Analytics, etc. (specific to the Digital Analytics Implementation role)
2 Years Experience in digital analytics implementation using enterprise grade tools such as Adobe Dynamic Tag Management (DTM), Google Tag Manager (GTM), Tealium, Ensighten, etc. (specific to the Digital Analytics Implementation role)
2 Years Data validation experience using tools such as Charles, Fiddler, etc. (specific to the Digital Analytics Implementation role)
Digital analytics implementation certification (for example, Adobe certified implementation expert, Adobe processing rules authorization, etc.) (specific to the Digital Analytics Implementation role)
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.