Finance Systems Data Analyst
WorldwideFull-TimeMiddle
Salary32700 - 73650 USD per year
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Job Details
- Languages
- English
- Required Skills
- PythonSQLMicrosoft Power BISAPSnowflakeTableaudbt
Requirements
- Previous experience working with finance data as a systems analysts or data analyst
- Strong SQL skills for data modelling & transformations
- Experience with dbt or similar analytics engineering frameworks for building maintainable data pipelines
- Experience integrating data from SAP to Snowflake or similar cloud data platforms
- Proficiency in financial data analysis, reporting, and visualization (Power BI, Tableau, or similar)
- Solid understanding of accounting principles and financial reporting requirements
- Experience with Python or DBT for data automation (desirable)
- Exposure to SAP S4 Hana (desirable)
- Understanding of SAP Finance modules (FI, CO, AR, AP, GL) and underlying data structures (desirable)
- Hands-on experience with Snowflake, including writing advanced SQL for data modeling and transformation (desirable)
Responsibilities
- Maintain, validate, and reconcile financial data between SAP (FI/CO, AR, AP, GL, etc.) and Snowflake data warehouse
- Skilled in transforming and modeling the data in dbt which is our de facto modeling layer
- Collaborate with IT and Data Engineering teams to ensure accurate and timely data ingestion from SAP to Snowflake
- Support finance users in troubleshooting data or system issues within SAP and Snowflake-based dashboards
- Participate in finance system upgrades, data migrations, or automation projects
- Develop and maintain financial dashboards and reports (e.g., P&L, balance sheet, cash flow, working capital KPIs) using SQL, Business Intelligence tools (example Sigma)
- Translate business requirements into data queries and visualizations to support financial planning, audit, and compliance needs
- Deliver ad-hoc analysis and insights to support Finance leadership and other stakeholders
- Identify and automate manual finance data processes to improve accuracy and efficiency
- Contribute to data governance frameworks, ensuring standardized definitions and consistent use of financial data across the organization
- Support ongoing digital transformation and data modernization initiatives
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