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Lead Analyst

2 months ago

bangalore, India Lowe's India Full time

Job Summary:

Join our dynamic Digital Category Optimization 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 Lowe's, we value innovation, data-driven decision-making, and teamwork. You'll be part of a collaborative environment where your contributions directly impact our digital growth. If you're passionate about e-commerce, customer insights, and driving online revenue growth, we invite you to apply and join our team. Together, we'll build a better digital shopping experience for our customers.

Roles & Responsibilities:
Core Responsibilities:
As a Lead Analyst in the Digital Category Optimization team, your daily activities will include:

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.
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.
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.
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: 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.

Years of Experience:
8+ years 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)

Technical skills (Advanced):
Expertise in Any visualization tool like (Excel, Python/R, Power BI)
SQL

Functional Skills :
Data Analysis and Insight Generation
Research on potential opportunity
Retail knowledge; Ecommerce/Digital Analytics
Gathering & Compiling of Data in a cohesive manner
Accountability for tactics implemented based on plans and getting to quantitative impact

Soft Skills(Advanced) :
Communication
Problem Solving
Industry trend knowledge
Presentation skills
Leadership

Secondary Skills (desired)
Adobe Analytics
Statistical Modeling
Python / R
Power BI