Senior Analyst - Data Analytics
About The Position
The Senior Analyst will work on the Prospect Direct Mail Analytics team within American Express’s Analytics, Investments and Marketing Enablement (AIM) team in Global Commercial Services Marketing. The role independently leads complex, high-impact analytical initiatives supporting Commercial Prospect Direct Mail campaigns, with a focus on profitable customer acquisition, revenue growth, and marketing investment efficiency. The analyst develops advanced analytical solutions, identifies strategic growth opportunities, and turns complex business challenges into actionable recommendations using machine learning, statistical methodologies, and test-and-learn approaches. The position requires end-to-end ownership of analytical initiatives, strong analytical judgment and technical expertise, and the ability to influence strategic decisions and communicate insights to senior stakeholders. It partners with Marketing, Finance, Decision Science, Technology, and other teams across Global Commercial Services. American Express describes its culture as grounded in innovation, shared values, Leadership Behaviors, and a commitment to customers, communities, and colleagues. The company offers a flexible working model, with onsite, hybrid, or virtual arrangements depending on the role and business need. The expected salary range is referenced, but no range is provided in the supplied posting.
Requirements
- Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, Engineering, Finance, or Economics.
- Demonstrated experience independently leading complex analytical initiatives and influencing cross-functional teams to deliver measurable business outcomes.
- Strong programming skills and experience with big data technologies such as Hive or Spark, and analytical programming languages such as Python, R, or Java.
- Strong SQL skills and demonstrated ability to work with large, complex datasets to develop scalable analytical solutions.
- Advanced technical and analytical skills, including statistical analysis, predictive modeling, segmentation, optimization, and experimental design such as A/B testing.
- Strong analytical and conceptual thinking, including the ability to independently structure ambiguous business problems, develop solutions, and translate complex findings into actionable business recommendations.
- Ability to communicate analytical insights and strategic recommendations clearly and compellingly to senior leaders and stakeholders.
- Ability to work independently in a matrixed organization, manage competing priorities, and influence cross-functional partners across Marketing, Finance, Decision Science, Risk, Technology, and external vendors.
- Strong business acumen and ability to connect analytical solutions to measurable acquisition growth, marketing efficiency, profitability, and revenue performance.
Nice To Haves
- Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Physics, Engineering, Finance, or Economics, or an MBA with a strong quantitative background.
- Strong knowledge of machine learning techniques, including XGBoost, Decision Trees, and Natural Language Processing (NLP) models.
- Experience in marketing analytics, customer acquisition, campaign optimization, or investment optimization, preferably in financial services.
- Experience evaluating machine learning model effectiveness and translating analytical insights into business strategies.
- Knowledge of commercial data, prospect targeting, and external data sources.
- Experience providing technical guidance, mentoring colleagues, or leading cross-functional analytical workstreams.
Responsibilities
- Independently lead complex analytical initiatives to drive profitable acquisitions, optimize marketing investments, and improve ROI, acquisition, and revenue performance in the Direct Mail channel.
- Define, design, develop, and implement advanced analytical and data science solutions across the Direct Mail campaign lifecycle, from prospect identification and targeting through campaign execution and performance measurement.
- Identify strategic growth opportunities and develop data-driven recommendations concerning channel strategy, investment allocation, prospect targeting, and offer personalization in partnership with GCS Prospect Marketing, Finance, and Investment Optimization teams.
- Lead evaluation of new commercial data sources and collaborate with external data vendors to assess data quality, incremental value, and opportunities to improve targeting effectiveness.
- Develop and optimize prospect segmentation, targeting, and offer strategies using statistical modeling, machine learning, and advanced analytical techniques to maximize acquisition profitability and customer value.
- Translate complex and ambiguous business challenges into structured analytical and machine learning problems; partner with Decision Science teams to evaluate model performance, quantify business impact, and identify model enhancements.
- Collaborate with Machine Learning and Technology teams to guide development and implementation of scalable analytical solutions that improve targeting efficiency, campaign effectiveness, and operational performance.
- Design and lead analytical experimentation, including A/B testing and performance measurement, to evaluate strategic initiatives, generate actionable insights, and improve marketing effectiveness.
- Synthesize complex findings into clear, actionable recommendations and influence business decisions as a trusted analytical partner to cross-functional stakeholders.
- Provide analytical thought leadership and technical guidance to colleagues, encouraging best practices, knowledge sharing, and continuous improvement in analytical methodologies and processes.
Benefits
- 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 of paid parental leave for all parents, regardless of gender, for pregnancy, adoption, or surrogacy
- Free access to global onsite wellness centers staffed with nurses and doctors, depending on location
- Free and confidential counseling support through the Healthy Minds program
- Career development and training opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
