Data Analyst

Benefits

• 401(k)
• 401(k) matching
• Bonus based on performance
• Dental insurance
• Health insurance
• Opportunity for advancement
• Training & development
• Vision insurance
• Wellness resources

MODULE X SOLUTIONS is a rapidly growing modular manufacturing business that serves marquee corporate and government customers in renewable energy, network infrastructure, battery storage, telecommunications, petrochemical, utility, transportation, and other verticals. We design, engineer, and manufacture products to our customers’ specifications. We are a proud Shreveport-based company working to support our employees and our community. Check us out at  and we hope you will consider applying to build your career and future at MXS!

The Data Analyst turns operational, quality, and project data into actionable insights that drive throughput, schedule adherence, and cost performance. Partnering closely with Operations, Quality, and IT, this role designs governed data models and builds interactive analytics for SIOP reviews, production scheduling, supplier performance, and customer metrics. This position requires the employee to perform a wide variety of duties including, but not limited to, the following:

Build analytics & dashboards in Power BI (or equivalent software) for SIOP cadence, capacity loading, quoted vs. actual labor, and schedule health; publish dashboards as needed for broad visibility.

Develop governed data models and pipelines to unify data from ERP, production trackers, QA/QC logs, purchasing/BOM sources, and other data sources.

Enhance data collection efficiency by implementing automated and digitized processes. Utilize applications, barcode scanners, and intuitive interfaces to streamline data entry and ensure quick, accurate access to information.

Operational reporting: trend cycle time, takt time, lead time, on time delivery, and rework; establish KPI definitions and refresh schedules aligned to management review.

Quality & QMS analytics: analyze customer satisfaction, conformity to product requirements, and process characteristics to identify preventive actions and continuous improvement opportunities.

Data governance & documentation: maintain data dictionaries, metric specs, and SOPs; ensure ISO‑aligned, auditable processes for data collection and reporting.

Collaborate with cross-functional teams, including engineering, quality, operations and safety, to resolve technical issues.

Collect, analyze, and interpret operational data to identify trends and inefficiencies, then deliver actionable recommendations that boost productivity and minimize waste across processes.

Evaluate and integrate new technologies or automation to streamline workflows.

Conduct troubleshooting and root cause analysis to address inefficiencies and defects.

Determine and track departmental goals.

Provide technical guidance and training to operators and team members to enhance process understanding.

Work Experience:

2 to 4 years

Education:

Bachelor’s degree in engineering, Data/Analytics, Statistics, MIS, or related field; equivalent experience considered.

• Effective communication skills both written and verbal
• Self-motivated and works well with or without supervision.
• Good organizational skills and a methodical approach to work.
• Ability to work on multiple projects simultaneously.
• Hand-eye coordination is necessary to operate testing instruments, tools, computers and various pieces of office equipment.
• Detailed oriented, able to read and interpret drawings, BOMs, options, shop details, etc.
• Must have a good attendance record and have a strong sense of personal responsibility.
• Personal computer skills required.
• Ability to work safely.
• Experience with process improvement methodologies (Lean, Six Sigma, etc.).
• Proficiency in data analysis and technical software (Excel, Sage
  100, Office 365, Power Bi).
• Strong Excel skills (Power Query, pivoting/unpivoting, advanced formulas) and comfort with SQL for querying and shaping data.
• Experience analyzing manufacturing metrics (throughput, WIP, yield, defects, takt/cycle/lead time).
• Strong analytical and problem-solving abilities.