American Express is hiring for the position of Analyst – Data Analytics in Gurgaon, India. Candidates with a Bachelor’s/ Master’s Degree/ MBA are eligible to apply for this position. The complete information, eligibility criteria, and requirements are provided below.
Job Description:
| Company Name | American Express |
| Position | Analyst – Data Analytics |
| Qualifications | Bachelor’s/ Master’s Degree/ MBA |
| Experience | Freshers/ Experienced |
| Location | Gurgaon, India (Hybrid) |
Key Responsibilities:
- Work in a dynamic and fast-changing environment with strong attention to detail, excellent communication skills, and the ability to deliver results through cross-functional collaboration.
- Support reporting, measurement, and analytical initiatives for evolving acquiring models within the payments domain.
- Assist in the automation and scalability of analytics processes using relevant data and analytical tools.
- Ensure high standards of data quality by leveraging internal data systems and validation processes.
- Support the design and development of data tools and analytical solutions that enhance merchant value and improve merchant engagement across multiple channels.
- Understand how GMNS business strategies are supported through existing analytical solutions and emerging data capabilities to address key business requirements.
- Evaluate current reporting processes to identify opportunities for automation, eliminate redundancies, and address reporting gaps.
Critical Factors for Success:
- Demonstrate strong result-oriented capabilities with a proactive and self-driven approach.
- Possess excellent interpersonal, written, and verbal communication skills.
- Ability to influence external partners, colleagues, and senior leadership through clear thinking, strong analytical skills, and sound business judgment.
Business Outcomes:
- Develop and implement solutions aligned with strategic business priorities to drive organizational growth and performance.
- Utilize personalization capabilities effectively to optimize business objectives and customer outcomes.
- Evaluate and apply advanced analytics techniques to enhance and expand existing analytical solutions.
Leadership Outcomes:
- Apply enterprise thinking by aligning role responsibilities with organizational priorities while balancing the needs of customers, partners, colleagues, and shareholders.
- Bring an external perspective, challenge the status quo, and drive continuous innovation in existing solutions and offerings.
- Demonstrate learning agility, make timely decisions, and maintain the highest standards of integrity and professionalism.
Eligibility Criteria:
- Strong analytical and problem-solving skills with the ability to interpret data, understand complex processes, and generate meaningful insights to support business strategy.
- Highly motivated professional with excellent project management and organizational skills.
- Passionate, flexible, and adaptable individual with a positive and proactive attitude.
- Ability to work effectively in a fast-paced and complex environment while managing changing priorities and business requirements.
- Proficiency in handling and analyzing unstructured data.
- Excellent written and verbal communication skills with the ability to convey information clearly and concisely.
- Strong presentation and stakeholder communication skills.
- Bachelor’s degree required; MBA or an equivalent advanced degree is preferred.
- Familiarity with technical tools and technologies such as Google BigQuery, SQL, R, Python, Lumi, PySpark, and Tableau.
- Prior experience in the merchant business domain is preferred.
- Exposure to Machine Learning, Cloud technologies, and Generative AI concepts is considered an added advantage.
About Company:
At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly striving to uphold our powerful backing promise to our customers and each other every day.
How To Apply?
- First, read through all of the job details on this page.
- Scroll down and press the Click Here button.
- To be redirected to the official website, click on the apply link.
- Fill the details with the information provided.
- Before submitting the application, cross-check the information you’ve provided.
