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Senior Business Analyst – Store Ops AI and Innovation

Senior Business Analyst – Store Ops AI and Innovation

CompanyLowe’s
LocationHuntersville, NC, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s, Master’s
Experience LevelSenior

Requirements

  • High School or GED

Responsibilities

  • Identifies and recommends areas of opportunity for expense control and labor optimization, used to inform workforce management decisions made by business leaders in various functions
  • Conducts analysis used to improve store productivity and drive business performance, and develops recommendations informed by senior experience on high impact, high visibility projects
  • Delivers in-depth analysis of labor allocation, including the use of engineered labor standards, and field operations input to develop recommendations for executive leadership
  • Synthesizes information from a variety of sources to derive insights and provide subject-matter expertise, including feedback from store technology users
  • Act as a liaison between AI engineers and store operations to implement new AI capabilities
  • Champion the value of AI through storytelling, visualizations, and executive-ready insights
  • Identifies and presents actionable insights to resolve workforce planning and management challenges
  • Proactively benchmarks budget, analysis, and scope of projects to ensure they fall within the available resources and timelines, while providing the input necessary for the success of the business
  • Partners closely with HR and Finance to determine employee fill rates, hiring projections, staff planning, and financial planning

Preferred Qualifications

  • Bachelor’s Degree in Operations Engineering, Management, Engineering, Business Analysis, or a related field
  • Master’s Degree in Operations Engineering, Management, Engineering, Business Analysis, or a related field
  • 3 Years experience related to workforce planning, data science, or data analytics
  • 2 Years Experience in an analytical role
  • 2 Years Experience using business intelligence and reporting tools (MicroStrategy, Business Objects, Cognos, Google Cloud Big Query, Teradata, etc.)
  • 2 Years Experience using business analysis and data visualization tools (e.g. SQL, Tableau, Qlik, Power BI, etc.) to perform analysis
  • 1 Year Experience working on Agile project management teams
  • Experience designing and analyzing A/B tests or operational experiments to measure impact and drive data-informed decisions
  • Familiarity with retail business functions such as demand forecasting, store operations, or in-store analytics
  • Translate complex technical outputs from AI or computer vision models into clear business insights and recommendations
  • Excellent communication skills and ability to collaborate with data science, product, and business teams to define requirements
  • Ability to problem solve creatively and learn quickly
  • Ability to manage tight deadlines, effectively prioritize efforts and achieve results in a fast-paced, dynamic environment