Data Analytics Manager American Express

Geospatial And Cloud Analytics Inc; New York (NY); On-site; USD 60,000 - 80,000; Full time

Job description

Job Highlights

Title	Data Analytics Manager
Type	Full Time
Experience	Not Indicated
Function	Strategic Analyses
Location	New York, NY, United States
Company	American Express

Company Profile

American Express is a globally integrated payments bank. It provides financial services with access to products, insights, and world-class experiences.

Job Profile

The bank is looking for a Manager (Data Analytics) who will own the end-to-end analytics required for executing Commercial Prospects Direct Mail campaigns and would be responsible for profitably driving growth in commercial acquisition and charge volume through the Direct Mail channel.

Be challenged with designing and creating world-class prospect marketing analytics solutions by leveraging machine learning and advanced methodologies.

Be responsible for performing strategic analyses, synthesizing conclusions, and communicating recommendations to partners aimed at driving revenue through acquisitions.

Drive strategic decision-making and execute new strategies via advanced analytics, disciplined tests, learning, and effective partnerships.

Education Level

• Master’s Degree in a Quantitative Field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance, and Economics) or MBA with a quantitative background.

Work Experience

• Knowledge of commercial data experience is a plus

Duties/Responsibilities

• Collaborate with Decision Science teams to quantitatively determine the value of ML models, and ensure key insights are leveraged to create the most suitable ML models to solve the business problems.
• Collaborate with ML and Tech teams to manage, guide, and build analytical solutions to improve targeting efficiency in the Direct Mail channel.
• Collaborate with stakeholders within GCS Prospect marketing, Finance, and investment optimization on various initiatives including setting goals for the channel/influencing data-driven strategy changes/introducing offer personalization, etc.
• Creating data segmentation and optimization strategies for targeting profitable prospects with the right product/incentive in the Direct Mail channel Translate business problems into Machine Learning problems.
• Define, Design, Create, and Implement data science and analytical solutions required throughout the life cycle of a Direct Mail campaign starting from lead generation to performance measurement.
• Drive profitable acquisitions in the Direct Mail channel by meeting ROI/Acquisition/Revenue goals with optimization, experimentation, and analytics-driven insights.
• Researching and evaluating new commercial data sources working with external data vendors to improve data quality.

Preferred Qualifications

• PhD in a quantitative field (e.g. Mathematics, Computer Science, Physics, Engineering, Finance, and Economics) or MBA with a quantitative background.
• Strong knowledge of machine learning techniques, including XGBoost, Decision Trees, and NLP models.

Skills/Knowledge/Abilities

• Demonstrated ability to lead cross-functional teams directly or indirectly to achieve key business outcomes.
• Demonstrated ability to work independently and across a matrix organization partnering with capabilities, marketing, decision sciences, risk teams, and external vendors to deliver solutions at top speed.
• Strong analytical/conceptual thinking acumen to solve unstructured and complex business problems and articulate key findings to senior leaders/stakeholders concisely.
• Strong programming skills are required. Experience with Big Data Programming Languages (HIVE, PIG, SPARK), Python (or R or JAVA). Expertise or ability to pick up strong SQL skills.
• Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results, such as A/B testing analysis.

Benefits/Perks

• 20+ weeks of paid parental leave
• 6% Company Match on retirement savings plan
• A flexible working model with hybrid, onsite, or virtual arrangements
• Bonus incentives
• Career development and training opportunities
• Competitive base salaries
• Comprehensive medical, dental, vision, life insurance, and disability benefits
• Free access to global on-site wellness centers
• Free and confidential counseling support
• Free financial coaching and financial well-being support

Employer’s Statement

American Express is an Equal Opportunity Employer. The bank 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.