Search Engine Optimization Analyst

About Lowe's

Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com.

About the Team

The Digital Commerce team at Lowe’s India is an extension to the core Digital Commerce function at Lowes’ Headquarters in Mooresville. The team in India focuses on multiple areas such as Digital Category Experience, Digital Commerce Support, Brand Advocates, Marketplace support, Dropship modernization, Customer Engagement, Category performance analytics, Site Operations, SEO and Omnichannel Product Content. This team partners closely with the team in the US to optimize and grow Lowe’s Digital Commerce business.

Job Summary

The Enterprise SEO Team ensures that Lowe’s digital experiences are optimized for discoverability, relevance, and performance across all search channels. The team delivers consistent, data-driven optimization of site content, technical elements, and metadata while conducting ongoing competitive analysis. Partnering closely with Business, Product, Content, Site Operations, and Technology teams, SEO team ensures that digital assets remain accurate, search-friendly, and aligned with customer intent, ultimately strengthening visibility and organic growth across Lowes.com.

As an Analyst, you will serve as the primary data and analytics partner for the SEO team. The role requires strong focus on data analysis, performance tracking and measurement to uncover actionable insights and growth opportunities. The person will work in a fast-paced environment, digging deep into performance drivers and translating data into practical recommendations that drive key SEO and business metrics.

Core Responsibilities:

• Analytics & Reporting: Responsible for hands-on work across all stages of data-driven solutions – from data extraction from various sources, through data wrangling and aggregation, to building dashboards, reports, and insights that support business decision-making.
• Utilize tools like SQL, Power BI/Looker, Python, and enterprise SEO platforms to extract, process, and analyse large datasets and build scalable reporting structures.
• Use data-driven analysis of audience behavior, traffic sources, landing page performance, and keyword trends to identify and prioritize optimization opportunities.
• Development and maintenance of SEO dashboards and visualizations that enable timely, strategic decisions and stakeholder visibility.
• Perform deep-dive analyses to answer critical business and leadership questions, providing clear, timely insights and evidence-backed recommendations.
• Exposure to data science concepts (e.g., predictive modelling, machine learning, experimentation) with an interest in applying them to drive deeper insights and smarter business decisions.
• Leverage a strong understanding of AI and LLM capabilities to integrate them into everyday analytics work.
• Collaborate with cross-functional teams (Business, Tech, Content, Product) as an analytics partner, ensuring SEO and other digital initiatives are guided by robust measurement frameworks and clear KPIs.
• Present insights and recommendations through structured storytelling and performance summaries with internal stakeholders as well as leadership in a clear, business-friendly manner.

Years of Experience:

• 2-4 years of relevant experience in an analytics-focused role in a Retail/E-commerce or agency environment.
• Background in SEO or digital/marketing/product analytics role is preferred.
• Experience in working with US-based companies or stakeholders/clients (preferred).

Primary Skills (must have)

• Proficiency in SQL and experience working with large datasets.
• Experience with data visualization and BI tools, especially Power BI and Looker Studio.
• Working knowledge of Python for data manipulation and analysis.
• Proficiency with web analytics and measurement tools such as Adobe Analytics or Google Analytics.
• Analytical mindset and ability to translate data into strategic action.
• Experience with workflow/project management tools (Workfront, Jira, etc.).
• Understanding of Generative AI tools and how to leverage them for SEO.
• Ability to manage multiple priorities and deliver high-impact projects across teams.

Secondary Skills (desired)

• Familiarity with SEO platforms (Google Search Console, Botify, SEMrush).
• Theoretical knowledge/exposure to modern data pipelines and analytics stack (e.g., scheduled queries, Airflow, Google BigQuery, etc.)
• Hands-on experience in third-party/publisher tools for measurement.