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# Data Solutions Analyst

- **Company:** Alfred Kärcher SE & Co. KG
- **Location:** Fayetteville, AR, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** SAP Cloud, HTML, JavaScript (Programming Language), Data Analysis, Business Systems, Spreadsheets, Information Systems, Data Validation, Data Integration, Data Transformation, Data Systems, Excel Formulas, Python (Programming Language), KNIME, SAP ERP, Power BI, SAP (Applications), Warehouse Management Systems, Script Language, Information Technology, Google Bigquery, Data Management, Api Management, Alteryx
- **Published:** July 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=88386c43e64be78b

## About the Role

* Education & Experience: Bring a Bachelor's degree in Business Analytics, Information Systems, Supply Chain, Computer Science, or Engineering-or substitute with 2-5 years of experience in analytics, business systems, or process automation.
 * Core Analytics Background: 3+ years of experience in a BI, data analyst, reporting automation, dashboard development, or related technical analytics role.
 * Automation & Scripting Skills: Hands-on experience using Python, JavaScript, and/or Google Apps Script to automate reporting processes, transform data, or improve business workflows.
 * Power BI Expertise: Strong experience with Power BI, including dashboard development, reporting logic, data modeling, and maintaining business-facing reports.
 * Advanced Spreadsheet Tools: Advanced Google Sheets experience, including complex formulas, structured reporting templates, data validation, and workflow support., * Workflow Automation Tools: Experience with KNIME or Alteryx for workflow automation and data transformation.
 * Enterprise & Platform Systems: Working knowledge of SAP, SAP Analytics Cloud, standard SAP reporting/export processes, and Google BigQuery or similar data platforms.
 * WMS & Data Integration: Familiarity with Körber WMS (or other warehouse management systems) along with experience handling API integrations or automated data feeds.
 * Process Improvement: Foundational knowledge of Lean, Six Sigma, or other process improvement methodologies.
 * Web Basics & Design: Basic experience with HTML or web-based content structure and exposure to data modeling concepts for dashboard development.



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