Data Analyst for Finance – Automotive Sector
Role overview :
Are you passionate about transforming data into high-impact financial decisions? Do you enjoy turning complex datasets into clear, actionable insights? We are looking for a Data Analyst to support our Finance team by improving data-driven decision-making through Power BI, SQL, and Python .
Key Responsibilities :
Design and maintain interactive dashboards in Power BI to monitor key financial KPIs (e.g., cost analysis, profitability, forecasting).
Automate recurring financial reports using Python scripts and SQL queries from internal databases.
Analyze large volumes of financial data to detect trends, anomalies, and optimization opportunities.
Support the creation of forecasting models and financial simulations.
Collaborate with Finance and Controlling teams to identify business needs and translate them into data solutions.
Assist in internal and external audits by providing accurate, structured, and well-documented data.
Requirements :
Minimum +2 years of experience as a data analyst, preferably in finance, controlling, taxation, or audit environments.
Strong proficiency in Power BI, including dashboard creation, data modeling, and DAX.
Solid experience in SQL for working with relational databases and optimizing queries.
Working knowledge of Python for data analysis (pandas, numpy, matplotlib, etc.).
Understanding of key financial concepts : financial statements, cost structure, CAPEX / OPEX, budget variances.
Ability to present complex financial information in a clear, business-oriented way.
Proactive, detail-oriented, and process improvement mindset.
English level : C1 or higher (written and spoken). Fluent in Spanish.
Nice to have :
Exposure to financial or Controlling sector
Experience working in cross-functional teams.
What we offer :
A key role within a finance team committed to digital transformation.
A collaborative and international environment.
Continuous learning opportunities in analytics and finance.
Hybrid working model and flexible working hours.
Competitive compensation and corporate benefits.
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