Data Analyst

Required Skills & Experience

• 1+ years of relevant experience in data analysis, reporting, or business intelligence (internships or co-ops can suffice)
• Associate's degree or higher
• Experience pulling data from SharePoint Lists or Dataverse
• Experience pulling and leveraging data within excel, Power BI, or Tableau

Nice to Have Skills & Experience

• Bachelor's degree in engineering
• Experience with SQL and Python
• Manufacturing or Industrial industry experience

Job Description

A Fortune 100 client in the Georgetown, KY area is seeking a Data Analyst to join their Manufacturing Information Systems team. Reporting to a Senior Business Analyst, this role will collect, prepare, analyze, and visualize data to help the team understand operational performance, investigate recurring issues, prioritize improvements, and measure results. Other day-to-day responsibilities include:

• Work with the Senior Business Analyst and plant stakeholders to translate operational questions into defined analysis tasks.
• Collect and combine data from approved sources such as SQL databases, Excel files, SharePoint Lists, and existing system reports.
• Clean, organize, and validate datasets, documenting missing information, inconsistencies, assumptions, and limitations.
• Use SQL, Excel, and Power BI to investigate trends, recurring issues, exceptions, and improvement opportunities.
• Analyze areas such as incident recurrence, resolution times, manual workload, system usage, and manufacturing process performance.
• Support root cause investigations by identifying patterns and relationships, validating interpretations with people familiar with the process.
• Develop and maintain clear reports and dashboards that answer specific operational questions and support decisions.
• Collaborate with the Senior Business Analyst and process owners to document KPI definitions, calculation methods, data sources, and reporting frequency.
• Establish performance baselines and compare post-implementation results to help validate the benefits of process and system improvements
• Participate in plant visits and gemba activities to understand how data is generated and how it relates to actual operations.
• Communicate findings in plain language, explaining their operational relevance and any limitations.
• Work with the Application Developer to identify data capture, reporting, and integration requirements for new or improved applications.
• Document queries, data preparation steps, and report logic so outputs can be understood, maintained, and reused.
• Follow established data access, security, and governance requirements, escalating data quality or access issues when needed.