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Finance Data Analyst
SALMON ROBOTICS LIMITED. Work with large volumes of real financial data across multiple sources at the intersection of finance, data, and technology .
Posted 10/2/2026full-timeRemote • Philippines, Armenia, Kyrgyzstan, Kazakhstan, Uzbekistan, GeorgiaMid-LevelSeniorWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL and Python for financial data processing and validation, with a strong focus on maintaining data accuracy and quality across multiple sources. Proven ability to collaborate with stakeholders to enhance financial reporting processes and analytics.
Highest-signal resume keywords
SQLPythonData Warehouse (DWH)Financial ModelingData Validation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonFinancial ModelingData ProcessingData ValidationData AnalysisData Discrepancy InvestigationData Quality AssuranceFinancial AnalyticsAutomation
Soft Skills
CollaborationProblem SolvingCommunicationAttention to DetailIndependence
Industry Keywords
Financial DataData SourcesStakeholder EngagementReporting ProcessesData Quality
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Work with large volumes of real financial data across multiple sources at the intersection of finance, data, and technology
- Partner with accounting, financial controlling, and senior stakeholders to keep financial data accurate and decision-ready
- Maintain and develop financial models, including updates, testing, and optimization
- Process and validate large volumes of financial data from multiple sources
- Investigate and resolve data discrepancies, ensuring data quality and consistency across systems
- Build and automate data extraction, processing, and validation using SQL and Python
- Work across DWH and multiple data sources to support financial analytics
- Collaborate with accounting, financial controlling, and other stakeholders to improve reporting processes
Requirements
What you’ll need- Strong hands-on SQL and Python skills
- Experience working with DWH and large datasets
- Ability to independently investigate data, identify root causes of discrepancies, and validate accuracy
- Strong English skills
- Ability to work core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8)
Benefits
Comp & perks- Fully remote work with core collaboration hours from 12:00 to 6:00 PM Manila time (UTC+8)
- Company-provided tools and equipment
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days
- Philippine public holidays
- 15 sick days
- Opportunities to learn and share expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- High-performing teams can earn a dedicated beach house week in Southeast Asia