Join BBVA as a Data Analyst SSR to leverage advanced analytics in driving financial insights and supporting strategic decision-making in a dynamic banking environment. Collaborate with cross-functional teams to transform complex data into actionable intelligence.

As a Data Analyst SSR at BBVA, you will play a pivotal role in analyzing vast datasets to uncover trends, patterns, and insights that inform business strategies in the financial sector. Your responsibilities will include developing and maintaining data pipelines, creating interactive dashboards, and providing analytical support to various departments such as risk management, marketing, and operations.

You will work closely with data engineers, business analysts, and senior leadership to ensure data integrity and accuracy in reporting. The role demands a proactive approach to identifying opportunities for process improvement through data-driven solutions. BBVA values innovation and agility, offering a supportive environment where your expertise can contribute to groundbreaking financial products and services.

This position is ideal for experienced analysts passionate about leveraging data to drive growth in a leading global bank.

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Proven experience as a data analyst, with at least 3-5 years in financial services preferred
• Proficiency in SQL, Python, or R for data manipulation and analysis
• Strong knowledge of data visualization tools such as Tableau or Power BI
• Experience with big data technologies like Hadoop or Spark is a plus
• Excellent problem-solving skills and attention to detail
• Ability to communicate complex data findings to non-technical stakeholders

• Competitive monthly salary with performance-based bonuses
• Comprehensive health insurance coverage
• Opportunities for professional development and certifications
• Flexible remote work arrangements
• Generous paid time off and work-life balance initiatives
• Access to cutting-edge tools and technologies in data analytics
• Collaborative and inclusive company culture