Financial Data Analyst

At Appodeal, we’re more than just a company—we’re a team united by a common mission: Help people discover and grow their talents through products that enable successful mobile app businesses!

We take pride in our cutting-edge product and our internationally dispersed team of talented professionals.

Here’s what we value, and what we hope you do too:

• Continuous Learning and Growth: We are passionate about learning, growing personally, and building rewarding careers.
• Making an Impact: We are committed to building a history-defining company that leaves a lasting impact on the mobile app industry.
• Solving Exciting Challenges: We tackle complex problems every day, supported by a team of world-class professionals and mentors.
• Enjoying the Journey: We believe in having fun while working toward our goals.

We are seeking a Financial Data Analyst to own the integrity, structure, and usability of financial data across systems. This role sits at the intersection of Finance, Data, and Systems, ensuring that financial metrics are accurate, scalable, and directly usable for decision-making.The role will build and maintain a finance data layer that acts as the single source of truth and powers AI-driven insights and dashboards, and dynamically produce reports that drive business decisions.

• Ensure accuracy and consistency of financial data across:  
  - ERP (e.g., NetSuite), 
  - operational systems,
  - data warehouse / BI tools.  
• Reconcile partner reported revenue across SSPs, DSPs, and exchanges with internal reporting and analytics.
• Identify and resolve discrepancies between systems (e.g., revenue, cost, payments).
• Establish repeatable reconciliation frameworks (not ad hoc fixes).

• Partner with Data Engineering to:  
  - define financial data requirements, 
  - validate pipelines and transformations,  
  - ensure correct data mapping and lineage.
• Maintain and improve the financial system of record.
• Translate accounting logic into data models and rules.  

• Define and maintain key financial metrics (revenue, gross profit, margins, etc.).
• Ensure alignment between:  
  - dashboards,
  - internal reporting,  
  - financial statements; 
•  Build datasets that support:  
  - executive reporting,
  - product and operational analysis.
• Build dynamic, forecasting models that pull from historical data, update with new actuals, and support flexible scenario and assumption inputs.

• Support month-end close through:  
  - data validation,
  reconciliation automation.
• Reduce reliance on manual journal entries by improving upstream data quality.

• Implement data-level controls to prevent errors at the source.  
• Ensure financial data is:  
  - auditable,
  - traceable from source to reporting.
• Support audits with clear data documentation.

• Work closely with:  
  - Accounting,
  - FP&A,
  - Data Engineering,
  - Product / Operations.  
• Act as a translator between finance requirements and technical implementation.  

• Bachelor’s degree in Accounting, Finance, Data, or related field.
• 2–5+ years experience in:  
  - financial data analysis, 
  - analytics engineering,
  - or accounting with strong data exposure.
• Strong Excel skills.
• Familiarity with ERP systems (NetSuite).
• Experience working with large datasets and high-volume environments (AdTech, FinTech, Marketplaces).  
• SQL, Python, Tableau, Looker a plus.

• Strong systems thinking (understands end-to-end data flows).  
• Ability to identify root causes of data discrepancies.
• Detail-oriented with high standards for data accuracy. 
• Automation mindset (eliminate manual work).
• Ability to communicate with both finance and engineering teams.