Finance Systems Data Analyst

What this job can offer you

• 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.

What you bring

• Essential:
  • 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.
• Desirable:
  • Experience with Python or DBT for data automation.
  • Exposure to SAP S4 Hana
  • Understanding of SAP Finance modules (FI, CO, AR, AP, GL) and underlying data structures.
  • Hands‑on experience with Snowflake, including writing advanced SQL for data modeling and transformation

Key Responsibilities

• Data Management & Integration
  • 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.
• Finance Systems Support
  • 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.
• Reporting & Analytics
  • 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.
• Process Improvement
  • 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.

Practicals

• You will report to: Manager, Finance Systems
• Team: Finance – Finance Systems
• Location: We welcome applications from all locations and prioritize those from selected regions.
• Start date: As soon as possible

Benefits

• Salary range: $32,300 – $81,800 USD per year.
• Work from anywhere
• Flexible paid time off
• Flexible working hours (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

How you’ll plan your day (and life)

We work async, which means you can plan your schedule around your life (not around meetings). Read more at remote.com/async.

You will be empowered to take ownership and be proactive. When in doubt, you will default to action instead of waiting. Your life‑work balance is important and you will be encouraged to put yourself and your family first, and fit work around your needs.

Not only do we encourage folks from all ethnic groups, genders, sexuality, age, abilities, disability status and any other under‑represented group to apply, but we prioritize a sense of belonging. During your interviews and beyond, we ask and encourage anybody who needs an accommodation to request one from their recruiter. We will ask you to voluntarily tell us your pronouns at interview stage, and you will have the option to answer our anonymous demographic questionnaire when you apply. As an equal employment opportunity employer, it’s important to us that our workforce reflects people of all backgrounds, identities, and experiences and this data will help us stay accountable. We thank you for providing this data if you choose to.