Analyst-Data Science

Analyst-Data Science
Company:

Aexp



Job Function:

Science

Details of the offer

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.The Analytics, Investments and Marketing Enablement (AIM) team – a part of Global Commercial Services Marketing (GCSM) – is the analytics engine that enables the Global Commercial business. The team is responsible for driving Commercial Customer acquisitions, engagement & retention by evolving our card & beyond-card products, targeting customers over online and offline channels through delivering world-class Analytics, Insights and Data Products.This specific Analyst role would be a part of 'Paid Search Digital Acquisition Analytics' team within AIM.How will you make an impact in this role?Responsible for delivering best in class Data Products to develop & implement Digital Marketing Programs in this ever-changing Digital targeting landscape.Creating world class data products powered by Data & Dynamic IntelligenceDrive Audience Identification and Custom targeting leveraging Amex and Partner data assetsCreating data segmentation & optimization strategies for targeting profitable prospects with the right product/incentive across multiple digital channelsDevelop and foster cross functional relationships with partners across American ExpressMinimum QualificationsMaster's Degree in a quantitative field (e.g. Finance, Engineering, Physics, Mathematics, Computer Science or Economics)Strong programming skillsStrong analytical/conceptual thinking acumen to solve unstructured and complex business problemsExcellent written, oral communication skillsPreferred QualificationsDigital analytics experience and familiarity with paid marketing channels, digital marketing technologyExperience with BIG DATA PROGRAMMING LANGUAGES (HIVE, PIG), PYTHON, JAVA, RWe 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 opportunitiesAmerican Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.


Source: Eightfold_Ai

Job Function:

Requirements

Analyst-Data Science
Company:

Aexp



Job Function:

Science

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