Engineering Data Analyst

Job Details: Job Location: DC1 Cedar Crest - Graham, NC, Position Type: Full Time, Salary Range: Undisclosed, 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 KPIs Utility usage and cost trends Wastewater and chemical usage Maintenance performance metrics Present findings to engineering leadership and operational stakeholders. Qualifications: 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 within manufacturing, engineering, industrial, or food manufacturing environments preferred. Experience developing dashboards and business intelligence reporting. Knowledge, Skills & Abilities Technical Skills Proficiency in SQL Python 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 concepts ETL processes and data pipelines Database structures and fundamentals Basic understanding of cloud platforms ERP systems Exposure to Snowflake is a plus Professional Skills Strong analytical and problem-solving abilities Excellent organizational and project management skills Ability to communicate technical information to non-technical audiences Strong collaboration skills across Engineering, Operations, Finance, and Leadership Ability to simplify complex data into practical business solutions Hands-on mindset with willingness to work in a manufacturing environment Key Competencies Data Analytics Manufacturing Analytics Business Intelligence Financial Analysis Continuous Improvement Dashboard Development Cross-Functional Collaboration Critical Thinking Data Visualization Process Optimization Communication & Presentation Skills Work Environment This position is based onsite in Burlington, North Carolina, and requires regular interaction with manufacturing, engineering, maintenance, and operational teams. The role includes both office-based analytical work and time spent in production environments to understand manufacturing processes, validate operational data, and support continuous improvement initiatives. Impact of the Role Improve manufacturing efficiency through actionable data insights. Increase visibility into operational performance through reporting and dashboards. Support engineering and operations with accurate financial and operational analysis. Improve capital project decision-making through ROI and cost analysis. Enhance continuous improvement initiatives using data-driven recommendations. Support business growth by improving the quality, accessibility, and reliability of operational data. Equal Opportunity & Employment Eligibility Alamance Foods Inc. is an Equal Opportunity Employer and does not discriminate based on age, race, color, creed, religion, disability, gender, ethnic or national origin, veteran status, or any other legally protected status. Alamance Foods Inc. prohibits discrimination against individuals with disabilities and provides reasonable accommodations to qualified applicants and employees upon request. Employment is contingent upon successful completion of Form I-9 and verification of authorization to work in the United States through E-Verify.