Roma, ITA
18 hours ago
Senior Data Analyst - Payback
**Description** 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. This position is a unique opportunity for an open-minded individual to operate in a start-up environment with the full support of the American Express and subsidiary Loyalty Partner organization. PAYBACK Italy has millions of active customers who collect bonus points and redeem them across a wide range of retail, travel, and service industries. The business model creates added value for both customers and partners through CRM initiatives, targeted communications, and engagement activities. **How will you make an impact in this role?** The position will be part of PAYBACK Italy's Analytics Team and will work closely with partner management and coalition partners to understand market trends, maximize business results, and leverage analytical knowledge and skills. Main tasks include: + Perform data analysis using programming languages such as Python, SQL, and Google BigQuery (GBQ). + Deliver KPI to measure business success and derive actionable insights into strategic decisions. + Provide consulting to PAYBACK and Partner Companies on targeting strategies and campaign optimization. + Develop and implement predictive and statistical models to support customer segmentation, forecasting, and campaign performance evaluation. + Collaborate closely with the PAYBACK analytics teams in Germany, Poland, and Austria to ensure alignment and knowledge sharing. **Minimum qualifications** + Master’s degree in mathematics, Data Science, Statistics or similar focus with quantitative focus + 1 Years of quantitative, statistical or analytical experience, ideally in a consulting company + Good programming skills, with experience in at least one of the following languages: Python, SQL, or GBQ + Good communication, influencing, and storytelling skills for internal and external stakeholders + Ability to work effectively in a team environment + Ability in presentation tools, including Excel and PowerPoint + Fluency in English and Italian (written and verbal) is required + Role is based in Rome **Preferred Qualifications** + Experience in developing predictive and statistical models + Good understanding of the basic statistical concepts and methods (e.g. distributions, AB tests) + Experience with data visualization tools is a plus + GBQ certifications are a plus Employment eligibility to work with American Express in Italy is required as the company will not pursue visa sponsorship for these positions. **Qualifications** 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. **Job:** Data Mgmt and Analytics **Primary Location:** Italy-Roma-Roma **Schedule** Full-time **Req ID:** 26000302
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