Analyst - Data Analytics

• The Analytics, Investment Optimization and Marketing Enablement (AIM) team a part of Global Commercial Services Marketing group within American Express is the analytical engine that enables the Global Commercial Card & Non-Card business
• This role, based out of Gurugram, will be a part of the AIM team and will be responsible for Global Commercial Beyond Card Analytics
• The team is responsible for cross-sell and engagement analytics for beyond card products across the SME and MM segment
• The incumbent would be responsible for analytics solutions that would shape customer acquisitions and organic growth roadmap
• The role requires a strong background in data analytics and commercial card knowledge
• The position is part of a highly collaborative environment, interacting with and influencing partners across the Global Commercial Service s business at American Express

• Spearheading analytics to drive beyond the card strategies comprising cross-sell and engagement
• Drive multiple US SME strategic growth priorities like BLOC, BCA, Blueprint, and AP Automation
• Support and enable the GCS product partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance.
• 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.

Minimum Qualifications

• Minimum 0-2 years of experience in relevant domain.
• Degree in a quantitative field (eg Finance, Engineering, Mathematics, Computer Science or Economics).
• Strong technical and analytical skills (SQL and Python) with the ability to apply both quantitative methods and business skills to create insights and drive results.
• Ability to work independently and across a matrix organization partnering with business partners, functional owners, capabilities, technology teams and external vendors.
• Strong programming skills are preferred. Experience with Big Data programming is a plus.
• Ability to prioritize and manage several concurrent projects through collaboration across teams/geographies