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American Express

Analyst-Data Analytics

Gurugram, HR, IndiaPosted 1 weeks ago
hybrid

Job Description

Global Commercial Services (GCS) serves millions of business customers around the world, from mom-and-pop shops to Fortune 500 companies. We back businesses so they can do more business, with a mission to be the undisputed leader in financial and membership services - responsibly driving double-digit revenue growth. We do that by offering a diverse range of payment and cashflow tools, from a wide range of traditional card products, to working capital and supply chain financing, to new digital solutions that make it easy for our customers to manage a full range of their financial and payment needs.

How will you make an impact in this role?

Sales Enablement Organization focuses on accelerating commercial business growth through training, tools and insights to provide a best-in-class customer experience and create a culture of doing it the right way.

Sales Ops Technical Role

We are seeking a highly skilled and motivated professional to join our team and spearhead the development of multiple automations of operational processes across various US SME channels. This role requires a strategic thinker who can bring in efficiencies and effectively partner with key stakeholders, including the SME Sales and AD organization, Oneforce Capabilities, Tech, Control Management, and CEG. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Capabilities, Technology, and Analytics teams to drive growth in the sales organization.

  • Design and implement automations for different operational processes across US SME channels.

  • Foster strong partnerships with relevant stakeholders, including the SME Sales and AD organization, Oneforce Capabilities, Tech, Control Management, and CEG, to ensure alignment and successful implementation of 

  • Have outstanding knowledge of Python, SQL, and Hive, encompassing data manipulation and statistical modeling/data-mining techniques

  • Analyze, deep dive, explore to identify process gaps and problem solve them by collaborating across teams.

  • Detailed execution of the development, validation and implementation of automated operational solutions with minimal to no manual intervention

  • Challenge status quo, innovate, and harbor strong curiosity. Proactively identify opportunities to improve processes by evaluating and challenging existing approaches

Minimum Qualifications

  • Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Artificial Intelligence, Data Analytics, Engineering)

  • Must Have - High proficiency in Python and SQL, with strong working knowledge of analytical tools (e.g., Hive, PySpark, scikit-learn etc.)

  • Programming: SQL, SAS, Python/R, Unix scripting, Excel/VBA

  • Experience in Big Data environment, inclusive of data mining techniques. 

  • Experience applying advanced statistical and/or quantitative techniques to solve business problems

  • Hands-on analytics and machine learning (ML) experience with understanding of data processing and model validation. Ability to address performance issues and to manipulate both structured and unstructured data

  • Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)

  • Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal and communication skills

  • Ability to deliver results, work independently, and prioritize tasks

  • Self-starter who thrives in an evolving, dynamic environment

Preferred Qualifications

  • Proficiency in CRM tools, Salesforce, or statistical software programs

  • Big data platform (Hadoop, SPARK, NoSQL DB, RDBMS)

  • Cloud Products & Services like Google Cloud

  • Visualization: Tableau, Power BI, Power Automate, Splunk

  • Servicing Platforms like Service Now

  • Others: Confluence, Sharepoint or any other workflow and content management tool

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

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Analyst-Data Analytics at American Express | Renata