Sr. Manager, Business Analytics & Insights

Lowes Foods, LLC; Burke Park (NC); On-site; USD 120,000 - 160,000; Full time

Job summary

Lowes Foods, LLC is seeking a Senior Manager of Business Analytics & Insights to turn complex data into clear, actionable narratives that influence strategy and operations. You will lead dashboards and insights across functions, with a strong focus on guest data to drive marketing activation.

The role requires partnering with business units, presenting to senior leadership, and delivering data-driven recommendations that improve performance and guide decisions enterprise-wide.

Qualifications

• Bachelor's degree in Business, Analytics, Economics, or related field.
• 5+ years in business analytics, data visualization, or strategic insights.
• Proven ability to translate data into actionable business narratives.
• Experience presenting to senior leadership.
• Comfort working with data teams; coding not required.

Responsibilities

• Lead dashboards and visualizations surfacing key metrics.
• Translate data into actionable insights and storytelling.
• Partner with business units to support strategic decisions.
• Identify opportunities for performance improvement.
• Present guest-centric activation results to marketing, merchandising, operations.
• Collaborate with analytics teams to define data requirements.
• Champion data-driven decision-making.
• Develop Power BI reports and taxonomies for guest plays.
• Coordinate with pricing and eComm teams.
• Perform other duties as assigned.

Skills

Data storytelling

Cross-functional collaboration

Executive presentations

Data-driven decision making

Education

Bachelor's degree in Business/Analytics

Master's degree preferred

Tools

Power BI

Looker

Job description

Overview

The Senior Manager of Business Analytics & Insights is responsible for the development of actionable insights that drive decision-making across the organization. This role must translate complex data into clear, compelling narratives that influence business outcomes, connecting business strategy, insights, and storytelling.

Through partnership across functional teams, this role fosters understanding of business challenges, designs intuitive dashboards, and delivers insights that inform strategy and operations. In particular, this role focuses on guest data to identify opportunities and support marketing activation.

Responsibilities

• Lead the development of dashboards and visualizations that surface key business metrics and trends.
• Translate data into actionable insights through compelling storytelling and presentations.
• Partner with business units to understand their goals and deliver analytics that support strategic decision-making.
• Identify opportunities for performance improvement and operational efficiency using data-driven analysis.
• Serve as a thought leader in data interpretation and insight generation across the enterprise.
• Collaborate with technical analytics teams to ensure business needs are translated into data requirements.
• Champion a culture of data-driven decision-making.
• Develop taxonomies for 'guest plays' to provide an understandable foundation for analytics, including developing Power BI report requirements and reports.
• Partner with other Alex Lee functions (i.e. - pricing, eComm, etc.) to resolve any identified issues / concerns.
• Responsible to present and regularly report the results of guest-centric activations to marketing, merchandising, and operations.
• Performs other duties as assigned.

Qualifications

• Bachelor's degree in Business, Analytics, Economics, or a related field; Master's degree preferred.
• 5+ years of experience in business analytics, data visualization, or strategic insights roles.
• Proven ability to translate data into business narratives and actionable recommendations.
• Expertise in data visualization tools (e.g., Power BI, Looker).
• Strong communication and storytelling skills, with experience presenting to senior leadership.
• Ability to work cross-functionally and influence without direct authority.
• Familiarity with basic data concepts and analytical modeling, and comfort working with data teams, but not required to code.

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