Freshers Jobs Vacancy – Data Analytics Job Opening at American Express

American Express is hiring for the role of Analyst-Data Analytics for the Gurgaon location. Please read the complete information carefully and apply if you are eligible for an Data Analytics Job Opening at American Express

Eligibility Criteria:

Education: Degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)

Job Location: Gurgaon

Experience: 0-3 Years

Skills: SQL, Hive, Python, HTML/CSS and JavaScript

Salary: Upto ₹9 LPA (As per Glassdoor)

Job Responsibility of Data Analytics Job Opening at American Express:

• Deliver strategic analytics focused on Digital Acquisition experiences across International Markets aimed at optimizing our Customer experiences
• Define and build key KPIs to monitor the acquisition journey performance and success
• Support the development of new products and capabilities
• Deliver read out of experiments uncovering insights and learnings that can be utilized to further optimize the customer journey
• Gain deep functional understanding of the enterprise-wide product capabilities and associated platforms over time and ensure analytical insights are relevant and actionable
• Power in-depth strategic analysis and provide analytical and decision support by mining digital activity data along with AXP closed loop data

Required Qualification, Capabilities and skills:

• Advanced degree in a quantitative field (e.g. Finance, Engineering, Mathematics, Computer Science)
• Strong programming skills are preferred. Some experience with Big Data programming languages (Hive, Spark), Python, SQL.
• Experience in large data processing and handling, understanding in data science is a plus.
• Ability to work in a dynamic, cross-functional environment, with strong attention to detail.
• Excellent communication skills with the ability to engage, influence, and encourage partners to drive collaboration and alignment

Preferred Qualifications

• Strong analytical/conceptual thinking competence to solve unstructured and complex business problems and articulate key findings to senior leaders/partners in a succinct and concise manner.
• Basic knowledge of statistical techniques for experimentation & hypothesis testing, regression, t-test, chi-square test.