Analyst - Data Science, Customer Marketing Analytics
American Express
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The AIM (Analytics, Investment & Marketing Enablement) team – a part of GCS Marketing– is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. It is the analytical engine that powers profitable business growth through consultative and innovative solutions across. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth. Incumbent in this role would work very closely with Marketing organization in Marketing space to provide meaningful analytics and actionable insights that help in creating growth strategies. The Analyst would perform analysis to guide strategic decision, regular campaign measurements, ROI analysis and enable the business by delivering key insights.
How will you make an impact in this role?
The roles and responsibilities of the position would include but not be limited to:
- Develop analytical solutions for GCS Customer Marketing by gathering requirements from stakeholders, performing data analysis, tracking performance.
- Accurate, timely and efficient delivery of monthly results reporting for strategic initiatives like Offer personalization, Orchestra
- Support and enable the business partners with campaign measurements, ROI analysis and actionable data driven insights for acquisition strategy in GCS
- Keen on exploration and analysis of data from various data sources, translate the same to excellent visual case studies.
- Quick learner quick to understand the business and support pilot projects amidst ambiguity
- Collaborate with functional leaders, business partners and senior leaders to assess business needs, evaluate project feasibility, ensure data integrity, and provide actionable recommendations in times of constant change
- Build a solid relationship/partnership with Marketing Stakeholders, drive projects end to end with full accountability and growth mindset
Minimum Qualifications
- Knowledge of Hive, Python, PySpark, SQL encompassing data manipulation and statistical modeling/data-mining techniques
- Strong analytical aptitude and technical skills
- Project Management skills
- Excellent verbal, written, and interpersonal communications skills with an ability to formulate and communicate results & methodologies in a clear and compelling way
- A demonstrated ability to work in high-pressure situations with minimal errors
- An optimistic and growth mind-set with a tremendous will to win
- Should be able to function with minimum supervision with high sense of ownership
- Strong technical and problem-solving skills
- Strong communication and interpersonal skills
- Ability to analyze large amounts of data and create innovative solutions
- Ability to work effectively in a team environment
- Ability to learn quickly and work independently with complex, unstructured initiatives
- Ability to challenge the status quo and drive innovation
Preferred Qualification
- Degree in a quantitative field preferred – e.g. B. Tech; BSc/MSc Statistics, Bachelors/master’s in economics
- Experience in marketing analytics and campaign measurement preferred; relevant industry experience preferred
- 1+ years of relevant experience with strong knowledge of skills like Python, SQL & Advanced Excel required; R also good to have.
- Good knowledge of statistical techniques like hypothesis testing, regression, XGBoost, KNN, t-test, chi-square test
Salary Range: $55,000.00 to $105,000.00 annually + bonus + benefits
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we’ll consider your location, experience, and other job-related factors.
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
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
- 6% Company Match on retirement savings plan
- Free financial coaching and financial well-being support
- Comprehensive medical, dental, vision, life insurance, and disability benefits
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- 20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
- 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
For a full list of Team Amex benefits, visit our Colleague Benefits Site.
American 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. American Express will consider for employment all qualified applicants, including those with arrest or conviction records, in accordance with the requirements of applicable state and local laws, including, but not limited to, the California Fair Chance Act, the Los Angeles County Fair Chance Ordinance for Employers, and the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance. For positions covered by federal and/or state banking regulations, American Express will comply with such regulations as it relates to the consideration of applicants with criminal convictions.
We back our colleagues with the support they need to thrive, professionally and personally. That's why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.
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