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.
Responsibilities
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.
Qualifications
Minimum Qualifications:
0-2 years of relevant experience in analytics.
Bachelor’s or master's in computer science, Engineering, Statistics, Mathematics, Physics, or related discipline.
Strong programming skills & experience with building models & analytical data products are required. Experience with technologies such as GenAI, Big Data, PySpark, Hive, Scala, Python
Proficiency & experience in applying cutting edge statistical and machine learning techniques to business problems and leverage external thinking (from academia and/or other industries) to develop best in class data science solutions.
Excellent communication and interpersonal skills, and ability to build and retain strong working relationships.
Ability to interact effectively and deliver compelling messages to business leaders across various band levels.
Preferred Qualifications:
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.