Description

The Analytics, Investments and Marketing Enablement (AIM) team – a part of Global Commercial Services Marketing (GCSM) – is the analytical engine that enables the Global Commercial business. The team enables commercial businesses by providing actionable insights to drive business strategy and growth. This is an outstanding opportunity that will work very closely with commercial organization to provide meaningful analytics and actionable insights that help in creating growth strategies. This role would be a part of AIM team and will be responsible for Global & Large Customer Analytics, in close partnerships with a diverse set of stakeholders.

Responsibilities

- Spearheading analytics to drive product strategy for Global & Large Customers.
- Drive multiple strategic growth priorities like building engagement triggers and scaling our product set.
- Support and enable the GCS partners with actionable, insightful analytical solutions to help the leadership team evaluate and drive business performance.
- Introduce new approaches to transform complex customer behavioral data that serve the entire Global Commercial organization.
- Excellent communication skills with the ability to engage, influence,



and inspire partners and stakeholders to drive collaboration and alignment.
- Outstanding 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.
- Continually broaden and strengthen knowledge of analytical methods and tools.

Qualifications

Minimum Qualifications

- Master’s/Bachelor’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).

- 24-48 months of experience in data analytics.
- Strong programming skills with Python and SQL.
- Familiarity and interest in applying emerging AI and Gen AI capabilities to improve customer/prospect targeting.

- Robust communication and interpersonal skills.
- Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives.
- Ability to work in a dynamic, cross-functional environment, with a strong attention to detail.
- Outstanding strategic and analytical thinking.

Preferred Qualifications

- Experience with Hive, PySpark is a plus.
- Experience in predictive modeling / machine learning is a plus.

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