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Senior Data Analyst - Finance

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We’re looking for a Senior Data Analyst (Finance) to lead and elevate all our financial analytics across Salla. The ideal candidate will work closely with Finance, Accounting, FP&A, Data, and Product teams to build accurate, trusted, and audit-ready financial data foundations.

This role requires strong ownership, high precision, and deep understanding of financial systems, revenue pipelines, and data modeling.

Requirements

  • Act as the main data partner for Finance, collaborating with Technical, Product, Engineering, Data Platform, and Accounting.
  • Own data collection, reconciliation, and validation across ERP, billing systems, data warehouse, and revenue pipelines.
  • Design and maintain financial fact tables, revenue models, cost allocations, and profitability frameworks.
  • Partner with Finance to define revenue recognition rules and cost attribution methodologies.
  • Ensure month-end closing data is complete, consistent, and aligned with Finance & Accounting requirements.
  • Build and maintain dashboards, reports, and automated data pipelines.
  • Conduct deep-dive analyses on revenue, cost trends, merchant behavior, pricing changes, and cash-flow drivers.

Qualifications

  • 4–7 years of experience in data analytics, finance analytics, FP&A, or a related quantitative role.
  • Expert-level SQL (able to write optimized, complex queries on large datasets).
  • Strong BI experience (Tableau, Looker, Metabase, or similar).
  • Solid understanding of:
    • Financial statements (P&L, balance sheet, cash flow)
    • Revenue recognition
    • Accounting fundamentals
    • Financial modeling
  • Experience working with ERPs, billing systems, or financial data pipelines.
  • Exceptional attention to detail and rigorous data validation discipline.
  • Strong communication skills with ability to simplify complex financial concepts.

Nice to Have:

  • Experience in ecommerce or fintech data environments.
  • Familiarity with VAT/ZATCA, e-invoicing, or regulatory reporting.
  • Python for automation & analysis.
  • Knowledge of data warehouse modeling (dimensional modeling, SCDs, fact tables).

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