Lead Analyst, Data Analytics

Your Impact
We are seeking a highly skilled and experienced Lead Analyst to join our analytics team that supports Store Operations & Technology team, focusing on leveraging data to optimize our Stores and Omni-channel retail operations. This role is critical to ensuring success for our Stores Operations and Store Tech partners - as Lowe's is in the middle of massive technology upgrades across its entire ecosystem.
In this role, you will partner closely with business stakeholders to create and enhance BI dashboards, conduct ad-hoc data pulls, perform root cause analyses, and deliver rapid, actionable insights. The ideal candidate brings both a deep understanding of the retail industry-including store operations and omni-channel ecosystems-and proven expertise in SQL, BI tools, R or Python. You will not only drive impactful analytical solutions but also mentor and guide a team of analysts, championing best practices, advanced modeling techniques, and robust statistical methods.
Key Responsibilities
1. Analytical Leadership & Strategy
o Drive the development of analytics frameworks, ensuring best practices in data collection, analysis, and reporting.
o Serve as the primary contact for complex data requests, prioritizing and delegating tasks to meet the needs of senior leadership and operational teams.
o Continuously monitor industry trends in retail analytics and technology, evaluating new tools and approaches for potential adoption.
2. Business Intelligence & Dashboarding
o Lead the design, development, and maintenance of BI dashboards - Products and Ad-hoc standalone dashboards - to provide critical KPIs and performance metrics for store operations and omni-channel initiatives.
o Ensure data visualizations are accurate, user-friendly, and tailored for various audiences-ranging from frontline store teams to C-level executives.
o Provide ongoing governance for dashboard standards, data definitions, and performance metrics to maintain consistency and clarity.
3. Ad-Hoc Analysis & Rapid Insights
o Conduct ad-hoc data pulls to support initiatives such as promotions, inventory management, and customer behavior analysis.
o Deliver rapid insights on short timelines when urgent business questions arise, using advanced analytical methods in SQL, Python, or R.
o Summarize complex analyses into clear and concise presentations or reports for senior leadership decision-making.
4. Root Cause Analysis
o Investigate operational performance issues, supply chain disruptions, or customer experience pain points using analytical models and statistical techniques.
o Develop recommendations to address root causes, collaborating with cross-functional teams (e.g., Store Operations, Marketing, Supply Chain, IT, Digital) for implementation.
o Monitor the impact of implemented recommendations to refine strategies and drive continuous improvement.
5. Team Leadership & Mentorship
o Mentor junior analysts, fostering their technical and professional growth through coaching, training, and feedback.
o Advocate for a data-driven culture, encouraging the adoption of analytical best practices and promoting a spirit of continuous learning.
o Contribute to the creation of a knowledge-sharing environment, ensuring that the team is up-to-date on new analytical tools, techniques, and retail trends.
6. Advanced Analytics & Modeling
o Employ statistical methods, predictive modeling, and advanced analytics to uncover hidden opportunities in operational, customer, and sales data.
o Lead the development of forecasting models, predictive analytics solutions, and other advanced analytical products that address key omni-channel retail challenges.
o Collaborate with cross-functional partners to implement analytical solutions that scale and integrate seamlessly with existing technology stacks.
7. Stakeholder Engagement & Communication
o Communicate analytical findings effectively to non-technical audiences, translating complex data into clear business narratives and actionable recommendations.
o Work closely with senior leadership to identify key problem areas, define project scope, and ensure alignment on deliverables and timelines.
o Proactively collaborate with technology teams to define data requirements, improve data quality, and refine data collection processes.
Required Qualifications

• Bachelor's Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field (or equivalent work experience in a related field)
• 6 years Related experience (fewer years may be accepted with a Masters or Doctorate degree)
• 6 years' Experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide)
• 3 years' Experience working with Enterprise level databases (e.g., Hadoop, Teradata, GCP, Azure, Oracle, DB2)
• 3 years Experience using enterprise-grade data visualization tools (e.g., MicroStrategy VI, Power BI, Tableau)
• 3 years Presenting/communicating analytics results to business partners
• 3 years Experience translating business requirements in analytics models
• Experience working cross-functionally

Preferred Skills/Education

• Background in retail (brick-and-mortar and e-commerce) and a solid understanding of omni-channel operations.
• Demonstrated knowledge of store operations, inventory management, supply chain processes, POS systems, and related retail metrics

Why Join Us?
• Impactful Role: Shape the analytical strategy for store operations and omni-channel initiatives in a fast-growing retail organization.
• Team Growth: Lead and mentor a talented team of analysts, championing a culture of collaboration, innovation, and continuous learning.
• Cutting-Edge Tools: Work with state-of-the-art BI platforms and advanced analytics tools to drive data-driven decisions.
• Leadership Visibility: Engage regularly with senior leaders, influencing key decisions that affect the company's strategic direction.
• Comprehensive Benefits: Competitive compensation, healthcare benefits, 401(k) or equivalent, and opportunities for professional development.
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 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.
Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law.