Full-Time

Lead Analyst

Data Analytics

Posted on 3/8/2025

Lowe's

Lowe's

Lowe's is a chain of home improvement stores.

No salary listed

Senior, Expert

Charlotte, NC, USA

Category
Data Analysis
Data & Analytics
Required Skills
Power BI
Microsoft Azure
Python
SAS
R
SQL
Tableau
Hadoop
Oracle
Data Analysis
Google Cloud Platform
Requirements
  • 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
Responsibilities
  • Drive the development of analytics frameworks, ensuring best practices in data collection, analysis, and reporting.
  • Serve as the primary contact for complex data requests, prioritizing and delegating tasks to meet the needs of senior leadership and operational teams.
  • Continuously monitor industry trends in retail analytics and technology, evaluating new tools and approaches for potential adoption.
  • 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.
  • Ensure data visualizations are accurate, user-friendly, and tailored for various audiences—ranging from frontline store teams to C-level executives.
  • Provide ongoing governance for dashboard standards, data definitions, and performance metrics to maintain consistency and clarity.
  • Conduct ad-hoc data pulls to support initiatives such as promotions, inventory management, and customer behavior analysis.
  • Deliver rapid insights on short timelines when urgent business questions arise, using advanced analytical methods in SQL, Python, or R.
  • Summarize complex analyses into clear and concise presentations or reports for senior leadership decision-making.
  • Investigate operational performance issues, supply chain disruptions, or customer experience pain points using analytical models and statistical techniques.
  • Develop recommendations to address root causes, collaborating with cross-functional teams (e.g., Store Operations, Marketing, Supply Chain, IT, Digital) for implementation.
  • Monitor the impact of implemented recommendations to refine strategies and drive continuous improvement.
  • Mentor junior analysts, fostering their technical and professional growth through coaching, training, and feedback.
  • Advocate for a data-driven culture, encouraging the adoption of analytical best practices and promoting a spirit of continuous learning.
  • 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.
  • Employ statistical methods, predictive modeling, and advanced analytics to uncover hidden opportunities in operational, customer, and sales data.
  • Lead the development of forecasting models, predictive analytics solutions, and other advanced analytical products that address key omni-channel retail challenges.
  • Collaborate with cross-functional partners to implement analytical solutions that scale and integrate seamlessly with existing technology stacks.
  • Communicate analytical findings effectively to non-technical audiences, translating complex data into clear business narratives and actionable recommendations.
  • Work closely with senior leadership to identify key problem areas, define project scope, and ensure alignment on deliverables and timelines.
  • Proactively collaborate with technology teams to define data requirements, improve data quality, and refine data collection processes.
Desired Qualifications
  • 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.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

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Founded

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INACTIVE