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.
About The Team
The Lowe's Digital Category Management team is dedicated to enhancing the shopping journey for our customers through data-driven insights and innovative strategies. Our team collaborates with various departments to refine product assortments, improve online experiences, and drive digital penetration. We leverage advanced analytics and customer feedback to implement effective solutions to provide a seamless and engaging digital experience to our. By integrating the latest e-commerce technologies and user experience best practices, we ensure that customers can easily find and purchase the products they need, whether they're shopping from home or on the go. Join us to make a significant impact on how customers interact with and enjoy Lowe's offerings both in-store and online.
Job Summary
Join our dynamic Digital Category team, where you will leverage data analytics and industry research to enhance customer experiences on Lowes.com, a key driver of our digital revenue. At Lowe's, we value innovation, data-driven decision-making, and teamwork. You'll be part of a collaborative environment where your contributions directly impact our digital growth. If you're passionate about e-commerce, customer insights, and driving online revenue growth, we invite you to apply and join our team. Together, we'll build a better digital shopping experience for our customers.
Roles & Responsibilities
Core Responsibilities:
The BA Team Comprises Business Intelligence And Digital Consulting Professionals With Expertise In The Domain Of E-commerce/online Retail Focused On Customer Analytics And Insights. The Team Uses The Power Of Data Analytics And Industry Research To Ensure Supreme Customer Experience On Lowes.com, Which Is One Of The Most Crucial Levers In Driving Online Revenue Growth. As a Lead Analyst In The Digital Category Optimization Team, Your Daily Activities Will Include
- Analytics strategy: Develop and execute the overall analytics strategy for the e-commerce business, aligning it with the business goals and objectives. Define key performance indicators (KPIs) and establish reporting frameworks to track and measure e-commerce performance Contribute to the development and implementation of data strategies and architectures. Define data requirements, data flows, and data integration processes to support business objectives and enable data-driven decision-making.
- Business Insights and Strategy: Provide strategic insights and recommendations based on data analysis to optimize product assortment, pricing, promotions, and customer segmentation. Contribute to the development of e-commerce growth strategies and expansion plans.
- Data Analysis and Interpretation: Lead and conduct in-depth data analysis using advanced statistical techniques, and data visualization tools to derive insights and identify trends. Communicate findings to stakeholders in a clear and actionable manner.
- Performance Tracking: Monitor AOP attainment daily, identify gaps, and proactively address potential misses. Track and report gaps in pacing, AOV, and conversion; conduct thorough root cause analysis (RCA) on weekly performance.
- Growth Opportunity Identification : Lead and conduct in-depth data analysis using various tools & techniques, and data visualization tools to derive insights and identify growth opportunities. Communicate findings to takeholders in a clear and actionable manner. Proactively identify growth opportunities within the category, currently unaddressed by projects, with 100% ownership of all action items
- Customer Data Analysis: Understand online and e-commerce business at a category level by analyzing customer data, including onsite behavior, product preferences, and qualitative feedback. Use advanced analytics methods to draw insights and translate them into actionable business recommendations.
- Category Experience Improvement: Analyze and leverage customer information and competition benchmarking to identify areas for improving the customer research and shopping experience. Conduct reporting for various projects and perform site audits for search, browse, and left navigation experiences to ensure optimal functionality.
- Category Funnel Optimization: Optimize the customer funnel at the category level to ensure seamless navigation and increased conversions. Identify significant opportunities to enhance the customer experience across different categories and manage the process to optimize taxonomy, purchase path, data content, SEO, and post-transaction results.
- Stakeholder Communication: Drive stakeholder, vendor, and merchant relationships to own and enable category growth.Develop and present communications to partner teams and leadership, conveying the right message effectively to the appropriate audience. Work collaboratively as part of a large global team and partner across functions to support enterprise-level initiatives. Ensure transparent and clear communication with all stakeholders regarding timelines and outputs.
- Market Study & Competitive Intelligence: Conduct market studies to understand best industry practices, enhancing digital customer experiences.
- Proficiency in Analytic tools: Use tools like Adobe Analytics and Medallia to derive business insights; support ad-hoc data analysis requests.
- Project Ownership: Take full ownership of projects, from initial analysis to final implementation, ensuring that all deliverables meet the highest standards of quality and accuracy.
- Innovation: Identify opportunities for innovation and efficiency in processes, driving efficiency.
- Mentoring and Leadership: Mentor team of data analysts, providing guidance, support, and training for their professional development and ensure the success of the team. Foster a collaborative and high-performing team environment. Coach and mentor the team with scope, deep dives, and execution of assigned projects.
Required Skill Set
Technical skills (Advanced):
- Excel
- SQL
- Python/R
- Any visualization tool
- Adobe Analytics
Functional Skills
- Data Analysis and Insight Generation
- Research on potential opportunity
- Retail knowledge; E-commerce/Digital Analytics
- Gathering & Compiling of Data in a cohesive manner
- Accountability for tactics implemented based on plans and getting to quantitative impact
- Statistical Modeling
Soft Skills(Advanced)
- Communication
- Problem Solving
- Industry trend knowledge
- Presentation skills
- Leadership
Years Of Experience
- 6+ years relevant experience
Education Qualification & Certifications (optional)
Required Minimum Qualifications
- Bachelor's Degree in engineering, Business, marketing, finance or related field.
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.
