Manager -Data Analytics

American Express TRS

Gurugram, Gurugram, India

4-6 Years

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Posted 8 hours ago
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Job Description

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. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

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.

Function Description:

With a focus on digitization, innovation, and analytics, the Enterprise Digital Experimentation & Analytics (EDEA) team creates central, scalable platforms and customer experiences to help markets across all these priorities. Charter is to drive scale for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of EDEA is the integration of diverse skills across all of its remits. EDEA has a very broad range of responsibilities, resulting in a broad range of initiatives around the world.

The American Express Enterprise Membership Analytics team leads the Enterprise Product Analytics and Experimentation charter for Membership Experiences across digital channels. The focus of this collaborative team is to drive growth by optimizing end-to-end Membership journeys, accelerating Native experience adoption, and enabling data-driven experimentation across App and Web platforms. The team specializes in leveraging digital engagement data, closed-loop insights, and experimentation frameworks to enhance customer experience, improve adoption of digital features, and deliver measurable business value across the Membership lifecycle.

Purpose of the Role:

This role will report to the Director, Early, Tenure, Servicing & Native Experience Analytics team and will be based in Gurgaon. The candidate will be responsible for delivering high-impact analytics and strategic insights to accelerate Native experience adoption, drive Digital channel growth (App & Web) across International Markets (beyond L5), and strengthen Membership reporting & enterprise communications

Lead Native Experience (Nativisation) analytics, measuring journey performance, experimentation impact, and identifying opportunities to accelerate full in-app adoption

Drive analytics to support Digital Channel growth (App & Web) across International Markets, enabling feature launches and quantifying business impact

Partner with Marketing teams to measure and optimize Drive-to-Digital campaigns focused on channel and feature adoption

Own and enhance Investor Relations communications, EDX Scorecards, and Membership Reporting packs, delivering clear, executive-ready insights

Identify and scale Gen AI use cases across Membership analytics to improve reporting efficiency, insight generation, and decision support

Define and monitor key KPIs to track digital adoption, feature engagement, and Native journey health

Deliver actionable insights by leveraging enterprise-wide digital, closed-loop, and customer behavioral data

Provide structured analytical support for strategic decision-making across Digital Experience and Membership teams

Qualifications:

Past Experience:

4+ years of analytics experience with a background in quantitative business analysis and statistical and modeling techniques; experience in digital analytics preferred

Strong strategic thought leadership and problem-solving skills with ability to solve unstructured and complex business problems

Proven track record of project and people management; ability to engage and inspire team members and partners

Results driven by strong project management skills, ability to work on multiple priorities and keep team on track to exceed goals

Academic Background:

Post graduate degree in Business, Finance, Economics, Statistics or a related field from a premier institute

Functional Skills/Capabilities:

Strong expertise in SQL/SAS/Python and working with large, complex digital data sets

Prompting Experience across analytics Gen AI use cases

Deep understanding of Digital KPIs (Adoption, Engagement, Conversion, Retention)

Experience building executive dashboards and performance scorecards

Strong experimentation knowledge (A/B Testing, Multivariate Testing)

Exposure to AI/ML or Gen AI applications in analytics preferred

Experience working with enterprise data platforms (e.g., LUMI, Big Data environments)

Technical Skills/Capabilities:

A/B Testing & Experimentation frameworks

Digital analytics tools (e.g., Adobe/Omniture or equivalent tracking tools)

Dashboarding & visualization tools (e.g., Tableau, Power BI)

Knowledge of data engineering workflows and automation preferred

Behavioral Skills/Capabilities:

Enterprise Leadership Behaviors

Set the Agenda: Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Perspective

Bring Others with You: Build the Best Team, Seek & Provide Coaching Feedback, Make Collaboration Essential

Do It the Right Way: Communicate Frequently, Candidly & Clearly, Make Decisions Quickly & Effectively, Live the Blue Box Values, Great Leadership Demands Courage

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.