At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

International Card Services (ICS) brings together our International Consumer and Small & Medium Size Enterprises (SME) issuing activities, as well as our Commercial Large Market sales and account development teams. ICS issues Cards in 26 countries, and is responsible for three Joint Ventures covering around a dozen countries. The leaders in these countries are empowered to make decisions at a local level, in partnership with other local business leaders. Local teams are supported by two cross-market teams – the Centre of Excellence, and Risk & Control Management.

How will you make an impact in this role?

We are hiring for a highly motivated and versatile Data Analyst, integrated in the Data Analytics & Insights Team, based in Madrid, Spain. The successful candidate will be a key player on the ICS Consumer & Commercial strategy and is integrated within a team that support different Continental' Europe markets. In this position the candidate must think strategically to maintain and develop tools which will help ICS Consumer & Commercial teams to identify business growing opportunities and maximize their productivity.

The main responsibilities will be:

Maintain the reporting infrastructure for the Business by leveraging our existing systems and databases. Extract & Analyze data – Maintain/Develop business insights to gain understanding on portfolio performance: identify trends in activation, attrition, activity level, etc. Maintain/Create Tools to help Sales Team to boost performance Key player in the planning and strategy processes Propose recommendations to solve problems Put in place robust processes to deliver new daily/weekly or monthly reporting, ad hoc analysis, trigger-based models and results using advanced python and SQL code

This position will report to the Data Analytics & Insights Manager.

Minimum Qualifications:

Valid Spanish / EU work permit Bachelor (or equivalent) in Mathematics / Engineering / Computer Science (or similar) At least 1 year of work experience (if on the Data Analytics area it will be a plus) Advanced Python & SQL Programmer Advanced Excel or Access with Macros Strong analytical mindset Fast Learner Ability to drive results while working on multiple projects with multiple stakeholders and in changing environments Excellent English language communication skills, both verbal and written.

Preferred Qualifications:

Linux/VB/JS & other programming languages will be a plus. Knowledge of Microsoft Power Automate Platform Project Management experience

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.