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

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

Finance Data Analyst

Key skills