The Analytics, Investment and Marketing Enablement (AIM) team at American Express is looking to drive Profitable Growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities for the Global Commercial Card business. This role specifically aims to address proactive retention and save a card analytics across the SME segment, with the potential to impact charge volume by over $2 billion.
Requirements
- Strong technical and analytical skills with the ability to apply both quantitative methods and business skills to create insights and drive results.
- Strong programming skills with SQL or Python
- Good knowledge of statistical techniques like hypothesis testing, regression, knn, t-test, chi-square test
- Demonstrated ability to work independently and across a matrix organization partnering with capabilities, decision sciences, technology teams and external vendors to deliver solutions at top speed.
- Experience with commercial data and ability to create insights and drive results.
Responsibilities
- Spearheading analytics to drive organic growth strategies comprising of customer retention efforts across marketing and sales channels.
- Develop/enhance precursors in AI models partnering with Decision science and collaborate across Marketing, Risk, and Sales to help design customized treatments depending upon the precursors.
- Be a key analytical partner to the Marketing and Measurement teams to report on Digital, Field and Phone Programs that promote growth and retention.
- Support and enable the GCS partners with actionable, insightful analytical solutions (such as triggers, Prioritization Tiers) to help the Field and Phone Sales team prioritize efforts effectively.
- Partner with functional leaders, Strategic Business Partners, and Senior leaders to assess and identify opportunities for better customer engagement and revenue growth.
- Exceptional execution skills – be able to resolve issues, identify opportunities, and define success metrics and make things happen.
- Drive Automation and ongoing refinement of analytical frameworks.
Other
- Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
- Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.
- MBA or a master’s degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science or Economics).
- At least 4 years of relevant work-experience in marketing analytics
- Demonstrated ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors.
