
Analyst-Data Analytics Job Openings in Gurgaon 2025!!!
American Express announced job vacancy for the post of Analyst-Data Analytics.The place of posting will be at Gurgaon (Hybrid).Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
| Name of the Company | American Express |
| Required Qualifications | Graduate |
| Skills | Strong programming/analytics skills |
| Category | Analysis |
| Work Type | Hybrid |
The Forecasting Team – within Global Capacity and Contact Management (GCCM) has one main objective – the accurate prediction of daily call volumes and average handle times, which allows Capacity Staffing and Scheduling to deliver against customer, shareholder and employee goals. Their Team is responsible for providing end-to-end demand forecasts across all customer service networks in the US and around the World. They are also responsible for monitoring channels of contact trends and providing deep-dive analytics to support configuration and customer satisfaction enhancement decisions. The Data Analyst position on the Forecasting Team will specifically play a key role in developing Short-Term and Long-Term forecasts for major products in the US market.
Θ Positions: Analyst-Data Analytics
Θ Job Location: Gurgaon (Hybrid)
Θ Salary: As Per Company Norms
Θ Job Type: Full Time
Θ Requisition ID: 25015468
Roles and Responsibilities:
- Develop Short-Term and Long-Term forecasts for major card products call volume in the US market
- Leverage complex data sources to extract meaningful insights. Conduct strategic analyses to inform business decisions and actionable recommendations
- Develop and automate reports/dashboards to inform partners and senior leaders
- Manage ad-hoc projects and partner closely with Finance and Reengineering to identify opportunity areas and deliver analytical solutions
Required Skills & Qualifications:
- Rigorous analytics/econometrics to effectively solve complex business problems
- Ability to build strong relationships in a cross-functional environment, interacting with and influencing partners in Capacity Planning, Finance, Scheduling and Real Time Optimization
- Strong programming/analytics skills are required (SQL, PYTHON etc.)
- Working experience in reporting (i.e. data visualization)
- Strong written and verbal communication skills
- Experience working with large datasets; knowledge of Hive, SQL, or other programming language preferred.
- Experience working with machine learning algorithms to develop best in class predictive modeling (including neural networks) preferred
Preferred Qualifications:
- Advanced degree in Statistics, Economics, Applied Economics, or Business Analytics.
- Master’s degree preferred.
Benefits:
- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
- Free and confidential counseling support through our Healthy Minds program
- Career development and training opportunities
Apply Link – Click Here
For Regular Updates Join our WhatsApp – Click Here
For Regular Updates Join our Telegram – Click Here
DISCLAIMER: The information provided on this page is intended solely for informational purposes for Students, Freshers & Experience candidates. All the recruitment details are sourced directly from the official website and pages of the respective company. Latest MNC Jobs do not guarantee job placement, and the recruitment process will follow the company’s official rules and Human Resource guidelines. Latest MNC Jobs do not charge any fees for sharing job information. Latest MNC Jobs strongly advise Students, Freshers & Experience candidates not to make any payments for any job opportunities.