Senior Data Analyst - Finance

AI overview

Lead financial analytics at Salla, collaborating closely with Finance and Product teams to design robust data models and deliver precise financial insights through automated dashboards.

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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