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Finance Data Analyst at KION Group | JobVerse
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Finance Data Analyst
KION Group
Website
LinkedIn
Finance Data Analyst
Grand Rapids, Michigan, United States of America
Full Time
3 weeks ago
$76,500 - $112,200 USD
No Visa Sponsorship
Apply Now
Key skills
ETL
Python
SQL
AI
Machine Learning
ML
Data Engineering
Analytics
BI
Power BI
Salesforce
SAP
About this role
Role Overview
Ensure Finance has clean, reliable, and well-governed data to support analytics and AI initiatives
Bridge fragmented Dematic data sources into unified, actionable datasets
Develop, build, and maintain data pipelines from enterprise systems including SAP, Salesforce, global cost book, and other proprietary data sources
Implement and ensure the integrity of data quality checks, monitoring, and validation processes
Build, enhance, and maintain analytics dashboards for Finance team members using Power Apps
Translate Finance reporting and analytical requirements into structured datasets and visual insights
Partner with an AI/ML engineer to deliver curated, model-ready datasets for advanced analytics and machine learning use cases
Document data definitions, business logic, and pipeline processes to ensure consistency and clarity
Requirements
Bachelor’s degree in Data Analytics, Finance, Accounting, Economics, Information Systems, Computer Science, or a related field
2-5 years proven experience in data analytics, reporting, data engineering, or a related role (internships, co-ops, or academic projects included)
Solid understanding of SQL for data extraction and transformation
Experience building dashboards or reports in Power BI or a similar BI tool
Strong data validation, problem-solving, and analytical skills
Ability to clearly communicate insights to Finance and non-technical partners
Exposure to SAP or Salesforce data structures preferred
Basic experience with ETL / data pipeline development preferred
Familiarity with Python or similar tools for data transformation preferred
Understanding of Finance concepts such as cost structures, reporting, or forecasting preferred
Exposure to AI, machine learning, or sophisticated analytics projects is strongly preferred
Tech Stack
ETL
Python
SQL
Benefits
Career Development
Competitive Compensation and Benefits
Pay Transparency
Global Opportunities
Apply Now
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