Job Description

About Remote

Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote.

We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform.

If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work!

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 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.
• 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’ll report to: Manager, Finance Systems 
• Team: Finance – Finance Systems
• Location: For this position we welcome everyone to apply, but we will prioritize applications from the following locations as we encourage our teams to diversify;
• Start date: As soon as possible

The annual salary range for this full-time position is

$32,300—$81,800 USD

Benefits

Our full benefits & perks are explained in our handbook at remote.com/r/benefits. As a global company, each country works differently, but some benefits/perks are for all Remoters:

• 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