| Company Name | American Express |
|---|---|
| Position | Data Analyst |
| Employment Type | Full-Time |
| Work Location | Hybrid Job (Gurgaon) |
| Experience Required | Relevant experience in data analysis and programming |
| Eligibility | Advanced degree in Finance, Engineering, Mathematics, Computer Science, or a related field |
| Skills Required | Big Data programming (Hive, Spark), Python, SQL, Data Science |
| Salary & Benefits | Competitive base salaries, Bonus incentives, Comprehensive health and retirement benefits, Flexible working model, Paid parental leave, Career development opportunities |
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About American Express
At American Express, we believe in the power of backing our customers, communities, and colleagues. When you join Team Amex, you become part of a global and diverse community committed to supporting your personal and professional growth. We offer benefits, programs, and flexibility to ensure that your career journey is unique and meaningful.
Purpose of the Hybrid Job Role
As a Data analyst, you will be a key player in optimizing our performance marketing channels and digital experiences, contributing to the success of our platforms and labs. Based in Gurgaon and reporting to the Manager of the Digital Experimentation & Insights team, you will deliver impactful analytics and insights that drive decision-making and innovation.
Key Responsibilities
- Strategic Analytics: Deliver analytics focused on Performance Marketing channels, Digital Acquisition, and membership experiences.
- KPI Development: Define and build key KPIs to monitor the health and success of channels, products, and platforms.
- Product Support: Assist in the development of new products and capabilities, providing insights that inform product evolution.
- Campaign Analysis: Analyze campaigns, uncover insights, and apply learnings to optimize channels further.
- Data Mining: Power strategic analysis by mining digital activity data and American Express closed-loop data.
- Enterprise-Wide Product Understanding: Gain a deep functional understanding of enterprise-wide product capabilities and ensure relevant and actionable insights.
Minimum Qualifications
- Educational Background: Advanced degree in a quantitative field such as Finance, Engineering, Mathematics, or Computer Science.
- Programming Skills: Strong programming skills are preferred, with experience in Big Data programming languages (Hive, Spark), Python, and SQL.
- Data Processing Experience: Experience in handling large data sets and an understanding of data science is a plus.
- Attention to Detail: Ability to work in a dynamic, cross-functional environment with strong attention to detail.
- Communication Skills: Excellent communication skills with the ability to engage and influence partners to drive collaboration and alignment.
Preferred Qualifications
- Analytical Thinking: Strong analytical and conceptual thinking competence to solve complex business problems.
- Statistical Knowledge: Basic knowledge of statistical techniques for experimentation and hypothesis testing (regression, t-test, chi-square test).
Enterprise Leadership Behaviors
- Set the Agenda: Define what winning looks like, prioritize enterprise thinking, and lead with an external perspective.
- Bring Others with You: Build the best team, seek and provide coaching feedback, and make collaboration essential.
- Do It the Right Way: Communicate clearly, make effective decisions, and live by the Blue Box Values.
Why Join American Express?
American Express support their colleagues’ holistic well-being, offering benefits that prioritize physical, financial, and mental health. With a flexible working model, competitive salaries, bonus incentives, comprehensive health benefits, and career development opportunities, American Express is committed to helping you succeed.
Equal Opportunity Employer
American Express is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.