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DATA ANALYST, DATA ANALYTICS & INSIGHTS TEAM

Madrid - Madrid

Descripción de la oferta de empleo

You Lead the Way.
We've Got Your Back.
With the right backing, people and businesses have the power to progress in incredible ways.
When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other.
Here, you'll learn and grow as we help you create a career journey that's unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.
At American Express, you'll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company's success.
Together, we'll win as a team, striving to uphold our company values and powerful backing promise to provide the world's best customer experience every day.
And we'll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.
Join Team Amex and let's lead the way together.
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 Commercial & Consumer 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 Commercial & Consumer teams to identify business growing opportunities and maximize their productivity.
Her/His 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 Minimum Qualifications.
Valid Spanish / EU work permit Bachelor (or equivalent) in Economics / Statistics / 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 Attention to detail 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 Computer Programming & Reporting experience We back our colleagues and their loved ones with benefits and programs that support their holistic well-being.
That means we prioritize their physical, financial, and mental health through each stage of life.
Benefits include.
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.
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Detalles de la oferta

Empresa
  • Sin especificar
Localidad
Dirección
  • Sin especificar - Sin especificar
Fecha de publicación
  • 22/10/2024
Fecha de expiración
  • 20/01/2025
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