AdTechTalent
Data Science581 days agoHybrid

Appodeal, Inc.

Financial Data Analyst

financial data analysisdata engineeringERPNetSuiteSQLPythonTableauLookerExcelforecastingdata modelingfinanceanalyticsdata pipelinereconciliationautomationadtechfintech

Key details

Salary

Not specified

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

Barcelona, Spain; Parkland, United States

Full job description

Appodeal seeks a Financial Data Analyst to ensure the integrity, structure, and usability of financial data across systems. The role involves maintaining a finance data layer as a single source of truth, supporting AI-driven insights and dynamic reporting. Responsibilities include ensuring financial data accuracy across ERP (NetSuite), operational systems, and BI tools; reconciling revenue data; resolving discrepancies; establishing reconciliation frameworks; partnering with Data Engineering on data requirements and pipeline validation; maintaining financial systems; translating accounting logic into data models; defining key financial metrics; aligning dashboards with financial statements; building datasets for reporting and analysis; creating dynamic forecasting models; supporting month-end close and audit readiness; implementing data controls; and collaborating cross-functionally with Accounting, FP&A, Data Engineering, and Product/Operations. Requirements include a bachelor's degree in Accounting, Finance, Data, or related field; 2-5+ years of relevant experience; strong Excel skills; familiarity with ERP systems (NetSuite); experience with large datasets in high-volume environments; and knowledge of SQL, Python, Tableau, and Looker is a plus. The role demands strong systems thinking, attention to detail, an automation mindset, and effective communication between finance and engineering teams. The position is full-time with hybrid remote options, located in Barcelona, Spain or Parkland, Florida, USA.

What you'll do

  • 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 (revenue, cost, payments)
  • Establish repeatable reconciliation frameworks
  • 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 and 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 and 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

Requirements

  • 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

Tech stack

NetSuiteERPSQLPythonTableauLookerExcel

Benefits

Competitive compensationFlexible working arrangementsOpportunities for professional development

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