Lead Analyst, Business Analytics

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.