Analyst-Data Analytics at American Express Company South Africa

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

08 Mar, 26

Salary

0.0

Posted On

08 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Programming Skills, Big Data, Python, SQL, Data Processing, Data Science, Analytical Thinking, Statistical Techniques, Experimentation, Hypothesis Testing, Regression, Communication Skills, Collaboration, Customer Experience, Digital Marketing

Industry

Financial Services

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. 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. Join Team Amex and let's lead the way together. Function Description: With a focus on digitization, innovation, and analytics, the Enterprise Digital team creates central, scalable platforms and customer experiences to help markets across all of 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 the team is the integration of diverse skills across all its remit. The American Express Enterprise Digital Experimentation & Analytics (EDEA) leads the Enterprise Product Analytics and Experimentation charter for Brand & Performance Marketing, Digital Acquisition & Membership experiences, Digital Servicing as well as Enterprise Platforms. The focus of this collaborative team is to drive growth by enabling efficiencies in paid performance channels & evolve our digital experiences with actionable insights & analytics. The team specializes in using data around digital product usage to drive improvements in the acquisition customer experience to deliver higher satisfaction and business value. Purpose of the Role: This role will report to the Manager of Membership experience analytics team within Enterprise Digital Experimentation & Analytics (EDEA) and will be based in Gurgaon. The candidate will be responsible for delivery of highly impactful analytics to optimize our Digital Membership Experiences across Web & App channels. • Deliver strategic analytics focused on Digital Membership experiences across Web & App 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 Minimum Qualifications: • 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. 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.

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Responsibilities

The role involves delivering strategic analytics to optimize Digital Membership experiences across Web and App channels. The candidate will also define key KPIs and support the development of new products and capabilities.