Data Analytics Sr Business Segment Leader - Commercial

Perdue Foods has a goal of becoming the most trusted name in premium proteins by creating products for consumers and for retail and food service customers around the globe while changing the way animals are raised for food. It is part of Perdue Farms, a fourth-generation, family-owned food and agricultural business deeply rooted in tradition yet with a forward-thinking mindset. We believe that success starts with our people, and our culture is built on a foundation of teamwork, integrity, and respect, where every voice matters and everyone is encouraged to contribute to our shared goals.

We are dedicated to creating a supportive, inclusive environment where associates feel valued and inspired to make an impact, both within the company and in the communities we serve. From promoting growth and development to prioritizing work-life balance, we’re committed to helping our team members thrive.
That's Perdue.

Our Data Analytics team is continuing to grow! The Data Analytics Sr. Business Segment Leader role leads the deployment, adoption, and strategic use of analytics within Perdue’s Commercial organization to enable data-driven decision-making that drives revenue growth, margin improvement, customer retention, and competitive advantage. This role partners closely with Commercial leadership to embed analytics into strategic planning and operational execution, while coaching and enabling federated analytics teams to elevate analytics maturity.

This position is based in Corporate HQ in Salisbury, MD. Relocation assistance is available.

The salary range for this position is $126,000 - $190,000 per year, based on experience and qualifications with annual bonus available (variable depending on performance).

In addition to the base salary, Perdue offers a competitive benefits package, including medical/Rx, 401(k) with employer match after 1-year, critical illness, accident insurance, dental, vison, life insurance, optional group life insurance, short-term and long-term disability protection, flexible spending accounts and paid time off.

• Serve as the lead for data, analytics, and data visualization within the Commercial segments, supporting executive and operational decision-making with data-backed scenarios.
• Partner with commercial leadership to integrate analytics into strategic planning, performance tracking, and business optimization.
• Perform and oversee advanced analysis, recommending appropriate statistical, predictive, and visualization methods, tools, and resources for complex commercial business problems, such as:
  • Channel performance and product portofolio contribution analysis.
  • Prediective models and elasticity analyses to guide pricing strategies.
  • Market trend, customer behavior, and competitor insight analysis.
  • Real-time dashboards tracking revenue, margin, conversion rates, and churn.
  • Segmentation and customer lifetime value (CLV) modeling.
• Provide support for data governance and align analytics activities with enterprise data strategy to improve trust and consistency in decision-making.
• Promote analytics usage and skills through training, mentoring, and championing best practices in analytics tools and methods.
• Guide federated Commercial analytics teams in building “one source of truth” via certified, trustworthy, and structured data in the Enterprise Analytics Platform.
• Lead projects to extend foundational commercial data assets and enable more consistent, timely business decisions.
• Develop standardized commercial metrics for coherent and comparable performance evaluation across products, channels, and customers.
• Drive analytics maturity across the Commercial organization, fostering a culture of data-driven decision-making.
• Lead and contribute to the Enterprise Data Analyst Forum, representing the Commercial function.

• Bachelor's degree in information technology, Data Analytics or Business or related field.

• 10+ years of experience in analytics, preferably with significant commercial/business experience.
• Demonstrated strength in data modeling, wrangling, and interpretation.
• Deep knowledge of data analytics…