Sr Analyst, DACI 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 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.

Core Responsibilities

• Enable business partners to make informed decisions by analyzing customer behavior, loyalty performance, and marketing effectiveness, and identifying key drivers of performance.
• Develop and maintain customer and marketing scorecards, including KPIs related to loyalty, engagement, retention, and campaign performance.
• Translate business problems into analytical frameworks, perform deep-dive analyses, and deliver actionable insights and recommendations.
• Leverage AI tools (e.g., ChatGPT) for exploratory analysis, hypothesis generation, and storytelling, improving speed and quality of insights.
• Identify opportunities to automate recurring analyses and contribute to building AI/ML-driven analytical agents and scalable solutions.
• Communicate insights effectively to stakeholders through clear storytelling, structured presentations, and data visualization.
• Collaborate with cross-functional teams (Marketing, Loyalty, Product, Tech) to align insights with business objectives.
• Continuously stay updated with emerging analytics and AI capabilities and incorporate them into workflows to improve efficiency and impact.
• Mentor junior analysts and contribute to team capability building in advanced analytics and AI adoption.

Functional Responsibilities

• Customer & Marketing Analytics - Analyze customer lifecycle, segmentation, and loyalty program effectiveness
• to drive business growth.
• Business Case Development - Develop data-backed business cases and recommendations aligned with
• marketing and customer strategy.
• Advanced Analytics & AI Application - Apply statistical techniques, machine learning concepts, and AI tools to
• solve complex business problems.
• Tools & Technologies - Strong expertise in SQL, Python/R, Excel, and visualization tools (Power BI/Tableau).
• Exposure to AI tools and frameworks is highly preferred.
• Analytical Thinking - Ability to structure ambiguous problems, perform root cause analysis, and deliver scalable solutions.
• Experimentation & Testing - Design and evaluate A/B tests and marketing experiments to measure impact and optimize strategies.
• Data Management - Ability to capture, structure, and manage large datasets for repeatable and scalable analysis.
• Core Competencies
• Driving Innovation - Ability to leverage new technologies, including AI and automation, to improve analytical outcomes.
• Communicating Effectively - Translate complex analysis into clear business insights.
• Business & Customer Understanding - Strong understanding of customer behavior, marketing funnels, and loyalty dynamics.
• Adaptability & Learning Agility - Ability to quickly adopt new tools, especially in the evolving AI landscape.
• Collaboration & Influence - Work effectively across teams and influence decision-making with data.

Years Of Experience 4 years of experience in analytical role

• 1 year experience in Retail category analytics working directly with merchants

Education Qualification & Certifications (optional) Required Minimum Qualifications

• Bachelor's Degree in Business, Engineering, Statistics, Economics or any other Quantitative
• Master’s Degree in Statistics, Analytics, Marketing, Economics, Math or Business with 1+ years’ experience in analytical role

Skill Set Required Primary Skills (must have)

• Experience working with analytical tools like SQL, R, Python, etc.
• Experience in visualization tools like Power BI, Tableau etc.
• Demonstrated experience working cross-functionally
• Experience with Microsoft Office tools (e.g., Word, PowerPoint, Excel) 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. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.