Senior Data Analyst

September 21, 2026

Hybrid

Senior

Barcelona, Madrid

Important before applying

This job has conditions that may affect your decision to apply

English is required

Description

Senior data analyst position focused on liquidity risk within the financial management of a large banking group. The role contributes to strategic decisions affecting the balance sheet, funding and financial sustainability, including transformation, automation and advanced data exploitation projects and a migration to Google Cloud. It involves cross-functional work with finance, risk, business, treasury and ALM areas, and requires 5–8 years of experience in finance or risk, advanced relational database skills in SQL and SAS, development experience in Python and a good level of spoken and written English.

Responsibilities

Participate in strategic initiatives with direct impact on the group's liquidity, funding and financial sustainability
Contribute to transformation, automation and advanced data exploitation projects that redefine the finance function
Collaborate in achieving the new strategic objectives around data and in implementing the new operating model with the migration to Google Cloud
Identify and implement improvements in internal processes to monitor, control and manage liquidity risk in an agile way
Get a cross-functional view of the business and interact with finance, risk, business, treasury and ALM areas
Analyze and monitor the entity's balance sheet, identifying possible deviations and producing the relevant reporting
Facilitate the generation of the required information and support decision-making

Requirements

Degree in Economics, Business Administration, Actuarial and Financial Sciences, Mathematics, Statistics, Physics, Engineering or a related field
Master's degree or postgraduate studies in Quantitative Finance, CEMFI or similar is valued
5 to 8 years of experience in financial and/or risk departments, preferably in banking or consulting
Advanced knowledge of relational databases, SQL and SAS
Development experience in Python, SQL and use of GIT
Knowledge of visualization tools such as QlikSense and Looker is valued
Knowledge of cloud technologies and tools such as Google Cloud Platform (GCP) is valued
Good level of spoken and written English
Knowledge of balance sheet, income statement and financial flows analysis
Knowledge of liquidity risk
Knowledge of internal financial tools, systems and processes
Knowledge of financial products
Knowledge of accounting
Understanding of the impact of risks on financial statements
Preparation and management of reports
Knowledge of data visualization tools (QlikSense) or business intelligence tools
Knowledge of statistics and descriptive models
Knowledge of analysis and management of regulatory risks
Task automation skills
Knowledge of AI in regulatory compliance (RegTech)
Knowledge of securitization products
Programming of analytical models
Knowledge of market, liquidity and interest rate risks
AI literacy

Conditions

Onboarding programme and personalised support for professional development
Individual training itinerary with access to an online platform offering a broad catalogue of self-learning resources
Fully free comprehensive health insurance
Membership in the pension plan with contributions made by the employer
Flexible remuneration applied to transport, training, languages, childcare, among others
Flexibility measures: remote work and flexible start times

SQLSASPythonGITbanking / financial servicesQlikSenseLookerGoogle Cloud Platform (GCP)

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