Senior Analyst - Data Science - job 2 of 11

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.

How will you make an impact in this role?

Global Commercial Services (GCS) is the global leader in providing payments solutions for Small, Medium, and Large Enterprises. We are in the business of helping our clients get business done! Accelerating sales and driving profitable charge volume growth are critical for the success of the organization. The Sales Enablement team is instrumental in driving these objectives.

The Sr. Analyst will play a critical role in supporting the development of growth and data-driven strategies to improve portfolio performance and drive execution. This position will support the development and implementation of analytical solutions, to provide consultative support to the GCS leadership team. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, and Finance teams to drive growth in the sales organization. 

• Data Science Projects: Design, develop, and implement predictive and explanatory analyses that address critical business problems, leveraging expertise in machine learning, Natural Language Processing (NLP), and other areas. Strengthen forecasting, refine incentive plan designs, and identify gaming behaviors. 
• Drive Analytics: Create world class analytics and add valuable insights to inform strategy. Develop actionable insights into Sales and client behavior, and introduce new approaches to transform complex behavioral data, and influence decision-making and strategic direction across the organization.
• Develop Modeling Capabilities: Hands-on experience with frameworks like TensorFlow, PyTorch, Transformers, etc., focusing on scalability, performance, and interpretability.
• Strong Analytical Skills: Apply analytical thinking to diagnose business needs and to establish analytical hypothesis and solutions; Have outstanding knowledge of Hive, SQL, and Python encompassing data manipulation and statistical modeling/data-mining techniques; Leverage predictive modeling to identify tactics for channel optimization of existing areas and conceptualize opportunities.
• Collaborate Across Teams: Establish and maintain close relationships with key cross-functional stakeholders to understand business strategies, develop goals, and address opportunities.
• Develop Scalable Solutions: Architect and deploy robust, efficient, and scalable data pipelines and modeling solutions using cloud-based technologies and programming languages like Python, Spark, etc.
• Define Performance Indicators: Lead analytics and measurement across key performance indicators. Own key stakeholder and executive level communications on progress of committed initiatives, including provision of automated monthly measurement focusing on specific strategic initiatives.
• Communicate Insights Effectively: Present findings, recommendations, and results effectively to both technical and non-technical audiences, including executive leadership, via clear reports, visualizations, and presentations, to enable data-driven decision making.

Minimum Qualifications:

• Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Data Analytics, Engineering)
• Strong analytical and conceptual thinking acumen
• Familiarity with machine learning libraries and frameworks (e.g., Tensorflow, PyTorch, NLTK, scikit-learn) and experience applying algorithms to real-world business problems.
• High proficiency in Python/SQL
• High proficiency in analytical and statistical tools (e.g., Hive, PySpark, scikit-learn etc.) is required.
• Experience in Big Data environment, inclusive of data mining techniques and data processing. Ability to address performance issues and to manipulate both structured and unstructured data
• Demonstrable experience with data visualization and reporting tools (e.g. matplotlib, seaborn, PowerBI)
• Proficiency with industry recognized ETL methods, processes and standards
• Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)
• Proven track record of developing analytical solutions optimizing business processes
• Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal skills
• Ability to deliver results, work independently, and prioritize tasks

Preferred Qualifications:

• Master's Degree in a quantitative discipline
• Experience with NLP
• Proficiency in CRM tools, Salesforce, or statistical software programs
• Experience with Hadoop and Spark is a plus

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.

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 
• 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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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.