Job Summary
We are looking for talented and analytical professionals for roles including Analyst, Analyst – Risk Management, CXO – Business Analyst, and Analyst – Data Science & Advanced Analytics. These opportunities are ideal for candidates interested in business analysis, risk management, data analytics, and data-driven decision-making.
In these roles, candidates will work with business and technical teams to analyze data, identify trends and risks, prepare actionable insights, support business decisions, and develop analytics-driven solutions. The positions provide opportunities to work on real-world business problems while building expertise in data analysis, business intelligence, risk management, reporting, and advanced analytics.
Job Details
| Company | Multiple Companies Hiring |
| Role | Analyst Roles |
| Experience | 0–2 Years |
| Location | Multiple Locations |
| Eligible Batches | 2024, 2025 & 2026 |
Qualifications You Must Have
- Bachelor's degree in data science, analytics, business intelligence, statistics, computer science, software engineering, or a related field.
- 0–2 years of experience in the related field.
- Master's degree in data science, analytics, business intelligence, artificial intelligence, or a related field.
- Ability to work in a team and communicate effectively.
- Understanding of data governance, data quality, and best practices for building trust in analytics.
- Proven programming skills — Python, Spark, and SQL.
Job Responsibilities
- Understand the core business of AXP and the levers behind various business decisions.
- Analyze large amounts of data to derive business insights and create innovative solutions.
- Leverage the power of closed loop through the Amex network to make decisions more intelligent and relevant.
- Innovate with a focus on developing newer and better approaches using big data and machine learning solutions.
- Clearly articulate and structure business findings across prospect and customer domains for leadership and key partners.
- Maintain an external lens and stay aware of developments in Finance, Payments, Analytics, and related fields.
Benefits
- Opportunity to work with a global aerospace and defense organization.
- Hands-on experience with modern data science and analytics technologies.
- Exposure to Databricks, Spark, Power BI, Python, SQL, and Azure DevOps.
- Opportunity to collaborate with data scientists, analysts, and software developers.
- Experience working on manufacturing, logistics, maintenance, and operational analytics.
- Hybrid work environment with opportunities for professional and technical growth.
Apply Now
Job Details - 1
| Company | EY |
| Role | Analyst |
| Location | Banglore, India |
| Experience | 0–1 Years |
Job Details - 2
| Company | American Express |
| Role | Analyst-Risk Management |
| Location | Gurugram / Bengaluru, India (Hybrid) |
| Experience | 0–2 Years |
Job Details - 3
| Company | RTX |
| Role | Analyst- Data Science |
| Location | Bengaluru, India (Hybrid) |
| Experience | 0–2 Years |
Job Details - 4
| Company | CohnReznick |
| Role | CXO - Business Analyst |
| Location | Chennai, India |
| Experience | 0–2 Years |
Tips Before Applying
Review the fundamentals of data analysis, business analysis, risk management, statistics, and advanced analytics before applying. Strengthen your skills in data interpretation, problem-solving, reporting, and identifying meaningful business insights.
Be prepared to discuss academic projects, internships, or professional experience where you analyzed data, solved business problems, evaluated risks, or supported decision-making. Practice explaining complex findings clearly and confidently to both technical and non-technical stakeholders.
Conclusion
These opportunities for Analyst, Risk Management, CXO Business Analyst, and Data Science & Advanced Analytics provide a strong platform for candidates looking to build careers in analytics, business intelligence, risk management, and data-driven decision-making.
Candidates with strong analytical thinking, problem-solving abilities, communication skills, and an interest in working with data can develop valuable industry experience and progress toward advanced roles in Business Analysis, Risk Management, Data Science, and Advanced Analytics.
