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Lowe's

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4.2

based on 786 Reviews

Video summary

101 Lowe's Jobs

Team Lead - Digital Category Optimization & Analytics

Lowes Services India Private limited

4.2

based on 786 Reviews

6-9 years

Bangalore / Bengaluru

1 vacancy

Team Lead - Digital Category Optimization & Analytics

Lowe's

posted 1d ago

Job Role Insights

Flexible timing

Key skills for the job

Data Analysis Financial Analysis SEO Consulting SQL SAP Business Intelligence

+ 4 more

Job Description

Job Summary:

Position Overview: 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 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.

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

Mentoring and Leadership : Mentor and lead a team of data analysts, providing guidance, support, and training for their professional development.
- Manage their bandwidth to ensure attainment and exceeding of the Annual Operating Plan (AOP).
- Foster a collaborative and high-performing team environment.
- Coach and mentor the team on scope, deep dives, and execution of assigned projects. Develop team technical expertise and talent in both data visualization and reporting.
Strategic Thought Partnership: Be a strategic thought partner during DCRs, Reinvents, and Refreshes Projects, ensuring a sharp focus on blockers to revenue attainment, translated into three core growth drivers
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.

Required Skill Set

Primary

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

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