Analyst-Data Analytics
American Express
The Analytics, Investment and Marketing Enablement (AIM) team – a part of Global Commercial Services (GCS) Marketing Organization – is the analytical engine that enables the Global Commercial Card business. The team drives Profitable Growth in Acquisitions through Data, Analytics, AI powered Targeting & Personalization Capabilities.
This role would be a part of AIM India team, based out of Gurgaon, and would be responsible for proactive retention and save a card analytics across the SME segment across marketing and sales distribution channels. This critical role represents a unique opportunity to make charge volume impact of 2+ Billion.
A very important focus for the role shall be quantitatively determining the value, deriving insights, and then assuring the insights are leveraged to create positive impact that cause a meaningful difference to the business.
- 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.
- Excellent communication skills with the ability to engage, influence, and inspire partners and stakeholders to drive collaboration and alignment.
- 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.
- Willingness to challenge the status quo; breakthrough thinking to generate insights, alternatives, and opportunities for business success.
- High degree of organization, individual initiative, and personal accountability.
Minimum Qualifications:
- 0-2 years of relevant experience in analytics.
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