Finance Systems Data Analyst

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B2B • Recruitment • SaaS

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1 - 10 employees

🤝 B2B

🎯 Recruiter

☁️ SaaS

📋 Description

• The Finance Systems Data Analyst plays a key role in supporting the Finance organization by ensuring the accuracy, consistency, and accessibility of financial data across SAP and Snowflake environments. • This position bridges finance, data engineering, and business intelligence, helping to optimize data flows, automate reporting, and enable better financial decision-making through clean, connected data. • Maintain, validate, and reconcile financial data between SAP (FI/CO, AR, AP, GL, etc.) and Snowflake data warehouse. • 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. • 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.

🎯 Requirements

• Previous experience working with finance data as a systems analyst 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)

🏖️ Benefits

• work from anywhere • flexible paid time off • flexible working hours (we are async) • 16 weeks paid parental leave • mental health support services • stock options • learning budget • home office budget & IT equipment • budget for local in-person social events or co-working spaces