Team Lead - Category Experience

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

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.

Job Summary:

At Lowes, we value innovation, data-driven decision-making, and teamwork. Youll be part of a collaborative environment where your contributions directly impact our digital growth. If youre passionate about e-commerce, customer insights, and driving online revenue growth, we invite you to apply and join our team. Together, well build a better digital shopping experience for our customers.

Roles & Responsibilities:

Core Responsibilities:

As a Team Lead in the Digital Category Optimization team, your daily activities will include:

• Coach and mentor team of direct reports within scope, deep dives and execution of assigned projects.
• 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 stakeholders 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 competitive 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. Seamless communication with all stakeholders ensuring transparency and clarity on 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.

Years of Experience:

6+ years of relevant experience

Education Qualification & Certifications (optional)

Required Minimum Qualifications:

Bachelor s degree in engineering, Business, marketing, finance or related field.

Skill Set Required

Primary Skills (must have)

• Experience in one or more: Google Analytics, Adobe Analytics, SQL, Power BI
• Proven results in most or all of the following areas: CI, CRM, customer experience, product content optimization, product management, financial analysis.
• Strong numeric and advanced analytics aptitude.
• Understanding of online merchandising, marketing and selling principles
• Strong interpersonal and communication skills
• Flexible and able to perform in an ambiguous, fast paced, changing environment
• Analytics, Statistics background
• High technical aptitude with web-based tools and proficiency in Microsoft Office Tools
• Detail-oriented; ability to manage multiple requests and follow up with others to make sure things get done

Secondary Skills (desired)

• Experience in Omni-Channel merchandising/marketing
• Experience with Adobe products (e.g., Adobe Analytics and Workspace)
• Experience in Customer Insights (CI), Customer Relationship Management (CRM) or Customer Experience (CX), A/B testing
• Experience assisting in strategy development for the business unit
• Experience in working with large teams

Lowes 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.