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JobsAmerican Express

Senior Analyst-Data Analytics

American Express

Senior Analyst-Data Analytics

American Express

Gurugram, Haryana, India

·

On-site

·

Full-time

·

2mo ago

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. As part of Team Amex, you'll experience this powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career.

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

How will you make an impact in this role?

In this role, you will deliver high-impact analytics that help us understand, optimize, and continuously improve our consumer acquisition site experience, ultimately driving digital conversion growth.

Key Responsibilities:

  • Ensure Data Quality: Own the accuracy, consistency, and reliability of data through ongoing validation, cleaning, and preprocessing.
  • Problem Solving & Research: Take a proactive, self-starter approach to investigating complex analytical challenges. Leverage multiple tools and diverse data sources to identify root causes and deliver actionable solutions.
  • Communicate Insights: Translate data into clear, compelling insights and recommendations for stakeholders. Partner cross-functionally to drive alignment, influence decisions, and enable measurable business impact.

Minimum Qualifications

  • Advanced degree in a quantitative field such as Data Science, Computer Science, Finance, Engineering, or Mathematics.
  • Strong proficiency in data querying and manipulation tools and languages, including SQL, Python, cloud-based data platforms, Big Query, Hive, and Py Spark.
  • Experience building analytical reports and dashboards.
  • Hands-on experience with inferential statistics, including hypothesis testing, confidence intervals, and experiment analysis (e.g., A/B testing).
  • Strong sense of personal accountability, exceptional attention to detail, and a demonstrated ability to work independently in a fast-paced environment.

Preferred Qualifications

  • Knowledge of machine learning and modeling techniques to extract insights and identify patterns in data.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Excellent communication skills, with the ability to engage, influence, and collaborate effectively with cross-functional partners.

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

  • 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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

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About American Express

American Express

American Express Company or Amex is an American bank holding company and multinational financial services corporation that specializes in payment cards. It is headquartered at 200 Vesey Street, also known as American Express Tower, in the Battery Park City neighborhood of Lower Manhattan.

10,001+

Employees

New York

Headquarters

Reviews

3.3

10 reviews

Work Life Balance

2.8

Compensation

3.2

Culture

2.5

Career

3.0

Management

2.0

45%

Recommend to a Friend

Pros

Good benefits and compensation

Training and professional development provided

Well-structured company with high-level professionals

Cons

Micromanagement and lack of trust from leadership

Fast-paced, high-stress work environment

Poor work-life balance with extended hours expectations

Salary Ranges

0 data points

L2

L3

L4

L5

L6

L2 · ヒューマンリソーシズ L2

0 reports

$168,350

total / year

Base

$67,340

Stock

$84,175

Bonus

$16,835

$117,845

$218,855

Interview Experience

10 interviews

Difficulty

3.0

/ 5

Duration

21-35 weeks

Offer Rate

10%

Interview Process

1

Application Review

2

HireVue Pre-Screening

3

Technical Phone Screen

4

Behavioral Interview

5

Final Round Interview

6

Offer

Common Questions

Coding/Algorithm

Behavioral/STAR

Technical Knowledge

Past Experience

Culture Fit