Senior Analyst-Data Analytics at American Express Company South Africa

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

08 Jan, 26

Salary

0.0

Posted On

10 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytics, Insights, Targeting, R, Python, SAS, SQL, Hive, PySpark, Advanced Statistical Techniques, Advanced Excel

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. American Express Function Description: Launched in 2012, Amex Offers is a digital advertising platform that connects Merchants and brands with the tens of millions of American Express Card Members across the globe. The Amex Offers team develops strategic marketing partnerships that deliver unique differentiated value for Merchants and Advertisers to reach these high-spending Card Members in the digital channels where they engage with American Express, delivering deep insights and maximizing results. Through this complete marketing solution, we can help advertisers get laser-focused on who our mutual customers are, what they want, and how we can meet their needs. Amex Offers team is seeking an Analyst/Senior Analyst to drive the Scaled & Bespoke Amex Offers Analytics and Business Insights. This includes delivering and growing robust solutions Global AMEX Offers and collaboration with stakeholders across Marketing teams. The role will focus on driving key enterprise priorities that include revenue growth, offer adoption and merchant engagement. This role is responsible for end-to-end execution of the project engagement from problem definition, data analysis/interpretation to develop the storyline with the insights/recommendations. Candidates are required to create strategic insights by quickly understanding new data presented in front of them and making decisions based on logic, business understanding and data techniques. Responsibilities: • Use analytics to generate insights and partner with Amex Offers Marketing teams to drive higher offer redemption and merchant/ customer satisfaction. • Drive consultative & strategic analytical projects focused on large merchants, industry & Amex offers based strategies • Leverage the power of closed loop through Amex network to make intelligent and relevant insights • Work with partners located across the globe spread across multiple business units Critical Factors to Success Business Outcomes: • Translate unstructured requests into analytical strategies and convert the available information into actionable insights • Ability to manage multiple requests with a quick turn-around • Envision the bigger problem that the partners are looking at and structure possible what if scenarios • Provide multiple solutions based on timeline and data availability Leadership Outcomes: • Put enterprise thinking first, connect the role’s agenda to enterprise priorities and balance the needs of customers, partners, colleagues & shareholders. • Lead with an external perspective, challenge status quo and bring continuous innovation to our existing offerings • Demonstrate learning agility, make decisions quickly and with the highest level of integrity • Lead with a digital mindset and deliver the world’s best customer experiences every day Past Experience: • 1-3 years of relevant experience in analytics domain • Preferred: Experience in the merchant/ commercial business Academic Background: • Bachelor's in Statistics/Mathematics/Economics/ Engineering with relevant experience • Preferred: Post Graduation in Management /Statistics/Mathematics/ Economics/Engineering Functional Skills/Capabilities: • Analytics & Insights & Targeting Technical Skills/Capabilities: • R, Python, SAS, SQL, Hive, PySpark • Advanced Statistical Techniques • Advanced Excel 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 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 using analytics to generate insights and partnering with marketing teams to drive higher offer redemption and customer satisfaction. It also includes managing multiple analytical projects and translating unstructured requests into actionable insights.