1

Manufacturing Data Analyst Jobs in Tennessee (NOW HIRING)

... analytics tools. Facilitate routine master data health reviews with Planning, Manufacturing, Quality, and Customer Service; drive corrective actions and systemic fixes. Identify automation ...

Manufacturing Manager / Production Shift Superintendent The Manufacturing Manager / Production ... Use Microsoft Excel for data analysis, KPI tracking, pivot tables, charts, and operational ...

New

Senior Process Engineer

Mount Juliet, TN · On-site

$98K - $127K/yr

Data Analysis * Analyze manufacturing KPIs including: * Overall Equipment Effectiveness (OEE) * First Pass Yield (FPY) * Throughput * Cycle Time * Scrap * Rework * Labor Efficiency * Cost per Unit

Senior Process Engineer

Mount Juliet, TN · On-site

$98K - $127K/yr

Data Analysis * Analyze manufacturing KPIs including: * Overall Equipment Effectiveness (OEE) * First Pass Yield (FPY) * Throughput * Cycle Time * Scrap * Rework * Labor Efficiency * Cost per Unit

Be Seen First

Data Entry Clerk

Gordonsville, TN · On-site

$18 - $20/hr

Experience in manufacturing production preferred but not required. Job Knowledge, Skills and ... Good math and analytical data analysis skills. * Speed of accurate data entry. Training ...

Be Seen First

Data Entry Clerk

Gordonsville, TN · On-site

$18 - $20/hr

Experience in manufacturing production preferred but not required. Job Knowledge, Skills and ... Good math and analytical data analysis skills. * Speed of accurate data entry. Training ...

The Manufacturing Accountant's primary role will be to analyze financial data within our ... Analyze Financial Data: Review financial statements, budgets, forecasts, and other financial ...

Showing results 41-60

Manufacturing Data Analyst information

See Tennessee salary details

$30.9K

$75K

$123.4K

How much do manufacturing data analyst jobs pay per year?

As of Aug 19, 2026, the average yearly pay for manufacturing data analyst in Tennessee is $75,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,700.00 and $88,000.00 per year, depending on experience, location, and employer.

What is a manufacturing data analyst?

A Manufacturing Data Analyst collects, processes, and analyzes data from production processes to improve efficiency, quality, and cost-effectiveness. They work with large datasets, identify trends, and generate reports to support decision-making. Utilizing tools like SQL, Python, and BI software, they help optimize manufacturing workflows and reduce waste. Their role often involves collaborating with engineers, production managers, and IT teams to ensure data-driven improvements.

What are the typical daily responsibilities of a manufacturing data analyst?

Manufacturing Data Analysts typically spend their days collecting and interpreting data from manufacturing processes to identify trends, inefficiencies, or areas for improvement. They often collaborate with production teams and engineers to understand operational challenges, validate data sources, and implement process enhancements based on their findings. Daily tasks might include generating reports, monitoring real-time production metrics, developing dashboards, and supporting quality assurance efforts. This role is highly collaborative and plays a key part in driving continuous improvement and operational excellence within the manufacturing facility.

What are the key skills and qualifications needed to thrive as a manufacturing data analyst?

To thrive as a Manufacturing Data Analyst, you need strong analytical skills, proficiency in data management, and a background in industrial engineering, statistics, or a related field. Experience with data visualization tools (such as Power BI or Tableau), statistical analysis software, and manufacturing ERP/MES systems is highly valued, as are certifications like Six Sigma. Attention to detail, problem-solving abilities, and effective communication skills help you stand out in this position. These capabilities are crucial for interpreting complex production data, improving manufacturing processes, and clearly conveying insights to cross-functional teams.

What cities in Tennessee are hiring for Manufacturing Data Analyst jobs?

Cities in Tennessee with the most Manufacturing Data Analyst job openings:

Infographic showing various Manufacturing Data Analyst job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $75,006 per year, or $36.1 per hour.

Master Data Specialist

Buckman

Memphis, TN • On-site

Full-time

Re-posted 25 days ago


Job description

Master Data Specialist

Buckman-Memphis, TN

Location: Memphis, TN

Language:English

Travel: up to 5%

Buckman is a privately held, global specialty chemical company with headquarters in Memphis, TN, USA, committed to safeguarding the environment, maintaining safety in the workplace, and promoting sustainable development. Buckman delivers exceptional service and innovative solutions to our customers globally in the pulp and paper, leather, and water treatment sectors to help boost productivity, reduce risk, improve product quality, and provide a measurable return on investment.

Position Summary

Own and steward Buckman North America supply chain and manufacturing master data so that planning, scheduling, procurement, manufacturing, quality, and customer fulfillment operate on a single, accurate version of the truth.

Key Outcomes/Responsibilities

Outcome: Reliable, audit-ready material master supporting planning and execution across 1,876 SKUs.

Actions:

Create and maintain material master records (FG, WIP, RM, PFR) with complete MRP, costing, storage, batch/QM, and logistics attributes; enforce naming, classification, and documentation standards.

Run routine data-quality checks (completeness, duplicates, blocked/inactive, lead-time sanity, UoM consistency); correct defects and prevent recurrence through standards and training.

Partner with planners/schedulers and plant SMEs to validate key planning parameters (lot size, safety stock, MRP type, procurement type, lead times, rounding values) and align to S&OP policies.

Outcome: Fast, controlled change management for master data with predictable cycle time.

Actions:

Operate a transparent intake/triage workflow for master data requests (create/change/block) with defined SLAs by object type and criticality.

Perform impact assessment for changes affecting supply, cost, labeling, regulatory/QM, and customer service; coordinate approvals with accountable owners.

Maintain a change log and version control for critical objects (recipes/BOMs, routings, production versions, QM specs) to enable traceability and post-issue root cause analysis.

Outcome: Master data that enables stable production scheduling and OTIF customer service.

Actions:

Ensure routings, work centers, production versions, and batch sizes reflect plant reality to support realistic promise dates and efficient sequencing.

Maintain packaging and tolling attributes, alternative supply sources, and PFR relationships so supply planners can execute substitutions and allocations without data rework.

Monitor execution exceptions tied to master data (MRP messages, ATP failures, batch determination/QM blocks) and eliminate top recurring causes.

Outcome: Improved inventory health and working capital through accurate master data and governance.

Actions:

Maintain accurate shelf-life/expiration, batch management, storage conditions, and disposition rules to minimize write-offs and prevent shipment of nonconforming material.

Support SLOB and red-tag programs by ensuring correct lifecycle status, obsolescence flags, and substitution rules; coordinate timely blocking/inactivation of obsolete SKUs.

Validate planning parameters (safety stock, reorder points/ROP, rounding) and lead times using performance data to avoid chronic over/under stocking.

Outcome: High-quality new product and raw material introduction (NPIP / NRIP) and transitions with 'right-first-time' data.

Actions:

Lead master data readiness for NPIP, NRIP and formula/labeling changes: create end-to-end objects (materials, BOM/recipes, routings, QM inspection plans/specs, packaging, GTIN/UoM) before first production.

Coordinate cross-functional sign-offs (R&D, Quality, Regulatory, Operations, Planning, Customer Service) for new or changed SKUs.

Provide cutover plans and data validation checklists for launches, transitions, and phase-outs to prevent order blocks and shipment errors.

Outcome: Standardized data governance, ownership, and controls aligned to supply chain excellence practices.

Actions:

Define and maintain master data standards, RACI, and controls (field ownership, required documentation, approval matrix) consistent with APICS-aligned process governance.

Develop training, job aids, and templates; coach requestors and plant SMEs to improve first-pass quality and reduce rework.

Support audits and compliance reviews by providing evidence of approvals, change history, and control effectiveness.

Outcome: Actionable visibility of master data performance and continuous improvement.

Actions:

Create and maintain dashboards/scorecards (defect rate, SLA attainment, top defect types, aging requests) using available analytics tools.

Facilitate routine master data health reviews with Planning, Manufacturing, Quality, and Customer Service; drive corrective actions and systemic fixes.

Identify automation opportunities (templates, validations, workflows) to reduce manual effort and error rates.

Basic Qualifications

  • Education Requirements: Bachelor's Degree in Supply Chain, Business, Engineering, or related
  • Job Experience: 2 - 3 years
  • APICS/ASCM CPIM required or obtained within 12 months
  • ERP / APS systems (SAP required)

Competencies

  • Drives Results - Consistently achieving results, even under tough circumstances
  • Communicates Effectively - Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
  • Build Networks - Effectively building formal and informal relationship networks inside and outside the organization
  • Manages Complexity - Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems
  • Plans and Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals

We appreciate the interest of recruitment partners, but we are not engaging external agencies for this role.

#LI-TF1

#LI-Onsite

Employment Type: Full-Time