Operations Data Analyst

Milwaukee Tool
Money, MS, United States
4 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
0 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Data Analysis Information Systems Databases Data Validation Data Mining Data Structures Python (Programming Language) Operational Data Store Power BI SQL Databases Warehouse Management Systems
+2 more
Data Analytics Tools for Reporting

Job description

Partner with all sites to support data, reporting, and traceability initiatives within operations.

The Ops Data Analyst will assist with the planning, implementation, and maintenance of data and traceability solutions across Service, Returns, and Manufacturing. This role will collaborate with engineering, manufacturing, quality, IT, and global teams to support data acquisition, reporting, and process improvement efforts. The ideal candidate has a strong analytical mindset, an interest in ERP/WMS systems, and a desire to develop expertise in data and traceability.

Specific Duties Include:

Project & Collaboration Skills

  • Collaborate with engineering, manufacturing, quality, and cross-functional teams to gather requirements and support project execution.
  • Communicate project updates, findings, and recommendations to team members and leadership.
  • Assist in documenting operational requirements, workflows, and best practices related to data and traceability.
  • Work effectively in a global team environment while contributing ideas for continuous improvement.
  • Support milestone tracking and deliverables throughout any project.

Data & Traceability Skills

  • Develop an understanding of battery manufacturing, service, and returns processes.
  • Support data connectivity, traceability, and reporting initiatives.
  • Assist cross-functional teams in developing data acquisition and traceability solutions for production operations.
  • Analyze production and operational data to identify trends, anomalies, and opportunities for improvement.
  • Support data validation efforts to ensure data accuracy, consistency, and integrity.
  • Assist in documenting data structures, process flows, and governance standards.

Technical & Analytical Skills

  • Develop working knowledge of WMS/ERP systems, databases, and reporting tools.
  • Utilize SQL, Power BI, Excel, and other analytics tools to support business needs.
  • Assist with data extraction, transformation, and reporting processes.
  • Support root cause analysis activities through data analysis and visualization.
  • Help establish consistent reporting methods and performance metrics across operations.

Requirements

  • Ability to travel domestically and internationally for project support and development.
  • Estimated yearly travel: 10%-20%
  • Ability to learn and adapt to current and emerging technologies.
  • Ability to work in a hands-on environment supporting engineering and operational teams.
  • Strong organizational skills with the ability to manage multiple priorities., * Bachelor’s degree in Engineering, Manufacturing, Data Science, Analytics, Information Systems, or a related field preferred.
  • 0-3 years of experience in manufacturing, engineering, analytics, or a related role.
  • Internship, co-op, or project experience in manufacturing or data analytics preferred.
  • Basic understanding of SQL, Power BI, Excel, Python, or other data analysis tools.
  • Familiarity with databases, reporting systems, or WMS/ERP preferred.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Excellent written and verbal communication skills.

Competencies and Personal Attributes

  • Agility - Embraces change and adapts quickly in a fast-paced manufacturing environment.
  • Continuous Learner - Demonstrates curiosity and eagerness to develop new technical skills.
  • Collaborative - Works effectively across teams and departments to achieve business objectives.
  • Results Oriented - Takes ownership of assigned work and follows through on commitments.
  • Analytical - Uses data-driven thinking to solve problems and identify opportunities.
  • Team Oriented - Supports and contributes to the success of the broader organization.
  • Execution Focused - Translates ideas and analysis into actionable outcomes.

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