Are you a fresher seeking exciting work-from-home jobs? Look no further! American Express is hiring a Fresher Data Analyst, offering a fantastic opportunity to launch your career with one of the world’s leading financial services companies.
This role is part of the Consumer Marketing Analytics & Investment Services team at American Express, where you’ll apply advanced analytics to drive marketing strategies and optimize customer profitability. If you’re analytical, detail-oriented, and ready to make an impact, this role could be the perfect fit for you!
Work-from-home jobs offer flexibility and convenience, making them ideal for freshers stepping into the professional world. With the opportunity to work remotely for a reputed company like American Express, you can gain valuable experience while enjoying a better work-life balance.
American Express Is Hiring a Fresher Data Analyst: Work From Home Jobs Opportunity
As a Fresher Data Analyst, you’ll collaborate with various teams, including Marketing, Finance, and Product, to develop insights and strategies that drive business growth.
Your Key Responsibilities Will Include:
- Conducting in-depth data analysis to drive revenue and enhance customer acquisition.
- Building a robust framework to evaluate consumer profitability.
- Monitoring acquisition and customer behavior to derive actionable insights.
- Standardizing consumer economics practices for efficiency.
- Utilizing marketing metrics like ROI, cost-per-acquisition, and efficiency yield to measure performance.
- Collaborating with cross-functional teams to prioritize and implement initiatives.
American Express Is Hiring A Fresher Data Analyst Work From Home Jobs
| Job ID | 24009657 |
| Job Role | Data Analyst |
| Education Qualifications | BE/B.Tech or Other Tech Degree |
| Salary Package | 4 to 10 LPA Is Expected |
| Experience | Fresher ( 0 – 3 ) |
| Job Location | Multipile ( Hybrid ) |
| Last apply date | ASAP |
Qualifications:
- A degree in Engineering, Mathematics, Statistics, or Finance, with a master’s or professional qualification from a top-tier institute.
- 0–2 years of relevant analytics experience.
Skills Needed:
- Strong analytical and problem-solving skills.
- Proficiency in programming languages such as Hive, SQL, SAS, or Python.
- Advanced knowledge of MS Office, especially Excel and PowerPoint.
- Excellent communication and interpersonal skills.
