Engineering Data Analyst

Company Background Alamance Foods is recognized as a leading manufacturer of aerosol whipped cream, flavored drinks, freeze pops, and bottled water, offering beloved brands like Classic Cream, Fun Pops, Coffee Toppers, Whipt, and Groovy Glacier. We produce, pack, and ship private labels based on customer-specific needs. An innovative company with proven experience in creating exciting new products that redefine what is possible in the food and beverage manufacturing industry.

Why Join Alamance Foods?

What We Offer Medical, Dental & Vision Benefits (eligible the 1st of the month following 60 days)
Life Insurance Dependent Care Spending Account (DCSA)
Paid Time Off (PTO): 12 days annually

Paid Holidays Career Growth and Advancement Opportunities Professional Development and Mentorship Supportive and Collaborative Team Environment Employee-focused culture with long-term stability

Position Opportunity Alamance Foods is seeking a motivated Data Analyst – Manufacturing & Engineering to support data-driven decision-making across manufacturing and engineering operations. In this hands-on, onsite role, you will partner with plant teams and engineering stakeholders to analyze operational data, improve processes, and deliver actionable insights that enhance manufacturing performance, optimize costs, and support strategic business decisions.

Essential Duties & Responsibilities Manufacturing & Engineering Data Analysis Analyze and manage data across the Engineering Department, including:

Maintenance and equipment performance

Facility operations

Environmental systems (wastewater, chemicals, utilities, greenhouse gas emissions)
Packaging and production processes

Identify trends, risks, and opportunities using operational and engineering data.

Perform data cleaning, validation, and integration across multiple data sources.

Build and maintain datasets for ongoing reporting and analysis.

Translate business and engineering requirements into actionable data-driven insights.

Capital Projects & Financial Analysis Support CAPEX project analysis, including:

Cost tracking

Budget versus actual analysis

Return on Investment (ROI)
Payback period analysis

Develop financial models supporting new equipment purchases and process improvement initiatives.

Continuous Improvement Partner with Engineering and Operations teams to:

Understand manufacturing processes and data flows.

Identify inefficiencies and cost-saving opportunities.

Support Lean and continuous improvement initiatives.

Recommend process improvements based on analytical findings.

Reporting & Business Intelligence Develop dashboards and reports using Power BI (preferred) or similar visualization tools.

Track and report:

Operational KPIsUtility usage and cost trends

Wastewater and chemical usage

Maintenance performance metrics

Present findings to engineering leadership and operational stakeholders.

Education/Training Bachelor's degree required in one of the following:

Data Science Data Analytics Business Analytics Mathematics Statistics Computer  Science or related analytical discipline

Master's degree preferred.

Experience Experience working with operational, production, manufacturing, or engineering data preferred.

Experience with in manufacturing, engineering, industrial, or food manufacturing environments preferred.

Experience developing dashboards and business intelligence reporting.

Knowledge, Skills & Abilities Technical Skills Proficiency in SQLPython programming

Microsoft Excel and Microsoft Office Suite Data analysis, modeling, validation, and cleansing

Power BI (preferred) or Tableau Working with large datasets and relational databases

Technical Knowledge Data warehousing conceptsETL processes and data pipelines

Database structures and fundamentals

Basic understanding of cloud…