Data Analyst

Halpin Staffing ServicesKenosha, WI

About The Position

This role is a temp-to-full-time position focused on core technical requirements for data analysis. The analyst will be responsible for utilizing Microsoft Office Suite, particularly Excel and Python, to manipulate, analyze, and report on data. The position requires a strong analytical mindset, the ability to translate data into actionable insights, and a proactive attitude towards learning and problem-solving. Understanding of operational KPIs is also important.

Requirements

  • Familiarity with Microsoft Office Suite (primarily Excel and Outlook).
  • Excel skills: VLOOKUP (or similar lookup functions), Pivot tables, basic data organization and reporting.
  • Beginner-level experience with Python.
  • Ability to perform basic data manipulation or scripting.
  • Willingness and motivation to further develop skills on the job.
  • Strong analytical mindset with the ability to interpret and break down data.
  • Ability to validate, clean, and reconcile data from multiple sources.
  • Ability to translate data into clear, digestible insights for floor supervisors and operations teams.
  • Understanding of operational KPIs (inbound, outbound, SLA metrics).
  • Self-starter with a proactive attitude toward learning new tools and skills.
  • Strong problem solver, who prides themselves in figuring things out.

Nice To Haves

  • Bachelor’s or Associate degree in business Analytics, Data Analytics, Computer & Information Systems, Supply Chain, or a related field.
  • Equivalent experience may be considered in place of a degree (e.g., 3–5+ years of relevant hands-on experience with the technical skills listed above).

Responsibilities

  • Perform basic data manipulation or scripting using Python.
  • Utilize Excel for data analysis, including VLOOKUP, Pivot tables, and basic data organization and reporting.
  • Validate, clean, and reconcile data from multiple sources.
  • Translate data into clear, digestible insights for floor supervisors and operations teams.
  • Develop and report on operational KPIs (inbound, outbound, SLA metrics).
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