Part Time Data Analyst Technician (Manufacturing Systems / Computer Science Focus)

Richmond

Saturday, 09 May 2026

Data Analytics & Visualization: Develop and maintain Power BI dashboards and reports to monitor manufacturing performance, productivity, downtime, and quality metrics. Write and optimize DAX measures and calculated columns to support advanced operational analytics. Transform raw manufacturing data into meaningful visualizations for leadership and production teams. Build automated reporting solutions to support daily production reviews and Redzone performance tracking. Data Engineering & Programming:Write Python scripts to automate data extraction, transformation, and reporting processes. Design and maintain SQL queries, stored procedures, and database structures for operational data. Integrate data from Redzone MES, ERP systems, spreadsheets, and other manufacturing data sources. Manufacturing Systems Implementation :Support implementation and rollout of the Redzone Manufacturing Execution System (MES). Assist with data integration, data validation, and dashboard creation tied to Redzone data streams. Help design KPI structures aligned with Lean Manufacturing and Continuous Improvement principles. Support real-time data visibility initiatives on the production floor. Data Quality & Optimization:Ensure accuracy and consistency of manufacturing data used for reporting. Develop tools to validate, clean, and standardize data sources. Identify opportunities for automation and process improvement through data analytics. Required Qualifications: Current coursework in Computer Science, Data Analytics, Information Systems, or related field (or equivalent experience). Strong experience with Power BI including: Data modeling Dashboard creation Power Query Strong DAX coding skills. Proficiency in Python programming for data analysis and automation. Experience writing complex SQL queries and working with relational databases. Strong analytical and problem-solving skills. Ability to translate data into clear operational insights. Preferred Qualifications Experience working with Manufacturing Execution Systems (MES) or production data. Familiarity with Redzone productivity systems. Experience with Lean Manufacturing, Six Sigma, or Continuous Improvement programs. Experience integrating ERP or operational databases with reporting tools. Knowledge of data pipeline design and automation workflows. Key Skills:Power BI Dashboard Development DAX Analytics Python Data Automation SQL Data Management Manufacturing Data Analysis Data Visualization & Reporting Continuous Improvement Analytics Work Schedule:Part-Time (10–25 hours per week) Flexible scheduling available depending on project needs. Impact of the Role :This role will directly support data-driven manufacturing operations, helping leadership and production teams gain real-time insights into performance, downtime, efficiency, and continuous improvement opportunities through the Redzone system. Pay: $18.95/hour. Individual base pay depends on work location and additional factors such as experience, job-related skills, and relevant education or training. Total pay may include other forms of compensation. In addition, we offer competitive health, dental, 401 k and wellness benefits beginning on the first day of employment. Please ask your Talent Acquisition Partner for more information about our total rewards package.

apply
 
Loading Similar Jobs...
JOBZ is an independent Job Search Engine. JOBZ is not an agent or representative and is not endorsed, sponsored or affiliated with any employer. JOBZ uses proprietary technology to keep the availability and accuracy of its job listings and their details. All trademarks, service marks, logos, domain names, job descriptions and other company descriptions / details are the property of their respective holder. JOBZ does not have its users apply for a job on the J-O-B-Z.com website. Additionally, JOBZ may provide a list of third-party job listings that may not be affiliated with any employer. Please make sure you understand and agree to the website's Terms & Conditions and Privacy Policies you are applying on as they may differ from ours and are not in our control.