Data Analyst

Kärcher Australia•Fayetteville, NC

11h•Hybrid

About The Position

This role focuses on reporting and tracking Key Performance Indicators (KPIs), managing data in Google Sheets, extracting data from operational systems, ensuring data quality, and supporting the team with various data-related tasks. The ideal candidate will have a strong attention to detail, proficiency in spreadsheet software, and an interest in continuous improvement.

Requirements

High school diploma or equivalent required.
Strong skills in Google Sheets and/or Excel, with an ability to comfortably sort, filter, and utilize basic formulas or pivot tables.
Excellent focus and precision when maintaining accuracy during repetitive, process-driven reporting tasks.
Familiarity with automated workflows (e.g., Google Forms to Sheets) or exposure to systems like SAP, WMS, or ADP.
Must be able to sit for extended periods for routine computer work.
Regularly required to stand for up to 8 hours, walk frequently, reach with arms and hands, and regularly lift and/or move up to 50 pounds.
Specific vision abilities required include close vision, distance vision, color vision, depth perception, and the ability to adjust focus.

Nice To Haves

An Associate degree or coursework in business, operations, or analytics is a plus.
A basic understanding of Lean, Six Sigma, or workflow optimization, alongside an interest in learning new data tools over time.

Responsibilities

Update and distribute daily, weekly, and monthly KPI reports using existing templates to keep operational reporting accurate and up to date.
Enter, organize, and maintain critical operational data in Google Sheets according to defined procedures and documentation standards.
Safely navigate and pull basic data extracts or standard reports from operational systems like SAP, Körber WMS, ADP, or Kardex.
Perform simple data integrity checks (completeness, formatting, missing fields) and escalate any discrepancies to the Analyst or Manager.
Assist with routine month-end/peak-cycle updates, handle basic ad hoc data pulls, and update SOPs or tracker instructions as processes evolve.