About this role
Job DetailsJob Location: DC1 Cedar Crest - Graham, NC 27253Education Level: 4 Year DegreeSalary Range: $50,000.00 - $60,000.00 SalaryJob Shift: 2nd ShiftPosition Data Analyst – Manufacturing & Engineering
Department Engineering
Manager Engineering Manager
Job Type Full-Time – Exempt
Location On-Site – Burlington, NC
Job Details
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.
QualificationsQualifications
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.
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