Analyst BA – Digital Category Experience

Overview

Analyst on the Business Analytics (BA) team for Digital Category Experience, supporting customer analytics and insights for Lowes.com e-commerce.

What you'll do

• Pull and aggregate data from various sources and support short-term and long-term category strategy with stakeholders.
• Run reporting for projects and site scrub for search, browse and left navigation experience.
• Collect, verify, analyze and summarize data using digital analytics tools and platforms to derive insights and highlight performance trends to improve user experience.
• Analyze customer data such as onsite behavior, product preferences and qualitative feedback.
• Build on-the-fly dashboards and apply advanced analytics methods to draw insights and translate them into business recommendations.
• Create insight-based action plans to solve identified opportunity areas for different categories.
• Maintain and distribute daily, weekly and event reports.
• Utilize programmatic and quantitative methods to identify patterns and relationships in large data sets, applying mathematical, statistical and other data-driven analysis.
• Monitor AOP attainment daily, identify gaps and proactively address potential misses.
• Ensure transparent and clear communication with all stakeholders regarding timelines and outputs.
• Conduct market studies to understand industry best practices for digital customer experiences.
• Use tools like Adobe Analytics and Medallia to derive business insights and support ad-hoc data analysis requests.
• Work effectively within a large global team and partner across functions on enterprise-level initiatives.
• Take full ownership of projects from initial analysis to final implementation.
• Identify opportunities for innovation and efficiency in processes.

What you'll need

• 2+ years relevant experience.
• Bachelor's Degree in engineering, Business, Marketing, Finance or related field.
• Communication and problem-solving skills; industry trend knowledge.
• Excel, SQL, Python/R, and any visualization tool.
• Adobe Analytics or Google Analytics.
• Data analysis and insight generation; research on potential opportunities.
• Retail knowledge and ecommerce/digital analytics.

Details

• Location: Bengaluru, on-site office.