IND_Analyst - Digital 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.

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 an analyst your day to day activity would involve : 

• Analytics & Reporting :Responsible for hands-on working at various nodes of data-driven consulting process: right from pulling and aggregating data from various sources,  category short term and long term strategy with stakeholders.Run reporting for projects, site scrub for search, browse and left navigation experience 

• Collect, verify, analyze and summarize data using a variety of digital analytics tools and platforms to derive compelling insights and highlight performance trends that can be used to improve user experience. 

• Understand online and e-commerce business, analyze customer data such as their onsite behavior, their product preferences, qualitative feedback, etc.; Build on the fly dashboards & apply advanced analytics methods to draw insights, and then translate them into business recommendations 

• Create insight-based action plans to solve identified opportunity areas for different categories enabling driving Global navigation practice.  

• Maintain and distribute daily, weekly and event reports 

• Utilize programmatic and quantitative methods to identify patterns and relationships in large data sets, as well as apply mathematical, statistical, and other data-driven analysis to address intelligence questions 

• Performance Tracking: Monitor AOP attainment daily, identify gaps, and proactively address potential misses. 

• Stakeholder Communication: Ensure transparent and clear communication with all stakeholders regarding timelines and outputs. 

• Data-Driven Insights & Action Plans: Understand the e-commerce business at a category level, analyze customer data (onsite behavior, product preferences, qualitative feedback etc.), and translate insights into actionable business recommendations. Create and implement action plans to address identified opportunities.  

• Market Study & Competitive Intelligence: Conduct market studies to understand best industry practices, enhancing digital customer experiences. 

• Hands-On Data Analysis: Aggregate data from various sources, derive insights and recommendations to support short-term and long-term category strategies. ·  

• Proficiency in Analytic tools: Use tools like Adobe Analytics and Medallia to derive business insights; support ad-hoc data analysis requests. ·  

• Cross-Functional Collaboration: Work effectively within a large global team and partner across functions to support enterprise-level initiatives ·  

• 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 

Soft Skills  

• Communication 

• Problem Solving 

• Industry trend knowledge 

Technical skills 

• Excel 

• SQL 

• Python/R 

• Any Visualization tool 

• Adobe Analytics/Google Analytics 

Functional Skills 

• Data Analysis and Insight Generation 

• Research on potential opportunity 

• Retail knowledge 

• Ecommerce/Digital Analytics 

Years of Experience 

• 2+ years relevant experience 

Required Minimum Qualifications: 

• Bachelor’s Degree in engineering, Business, Marketing, Finance or related field.