American Express is currently seeking candidates for the position of Analyst-Data Analytics in Gurgaon. This role offers an excellent opportunity for individuals with a diverse educational background, including degrees in business, economics, statistics, mathematics, engineering, or finance, combined with a master’s or other secondary professional qualification. With 0-3 years of experience required, this position is ideal for recent graduates or early-career professionals looking to delve into the world of data analytics. As an Analyst-Data Analytics at American Express, you’ll have the chance to work with cutting-edge technology and tools while collaborating with a talented team to drive data-driven insights and decision-making processes.
Company Name: American Express
Job Role: Analyst-Data Analytics
Education Required: Degree in business, economics, statistics, mathematics, engineering or finance combined with a master’s or other secondary professional
Experience Required: 0 – 3 years
Job Location: Gurgaon
Role and Responsibilities:
- Perform in-depth data analysis to understand acquisition & customer dynamics and derive actionable insights to drive revenue for US consumer business.
- Evaluate the impact on the business of different strategies/initiatives and generate insights and recommendations.
- Closely monitor the behavioral performance of acquisitions/customer channels and identify driving factors behind trends.
- Collaborate with Marketing, Finance, and Product teams to plan and prioritize various initiatives.
- Continuously broaden and strengthen knowledge of analytical methods and tools to further evolve our analytical practices.
- Dealing with standard marketing performance metrics such as ROI, Cost per acquisition, efficiency yield , etc.
Required Skills and Qualification:
- 0 – 3 years of relevant analytics experience.
- Degree in business, economics, statistics, mathematics, engineering, or finance combined with a master’s or other secondary professional qualification.
- Strong analytical and problem-solving skills.
- Strong ability to drive results; self-starter.
- Strong interpersonal, written, and verbal communication skills.
- Experience in programming languages like Hive, SQL, SAS, Python, etc.
- Proficient in MS Office especially Excel and PowerPoint.
