American Express - Business Analyst - Product & Testing Analytics (0-6 Yrs) Gurgaon/Gurugram (Systems/Product Software)

Job Description : Why American Express? Theres a difference between having a job and making a difference.American Express has been making a difference in peoples lives for over 160 years, backing them in moments big and small, granting access, tools, and resources to take on their biggest challenges and reap the greatest rewards. Weve also made a difference in the lives of our people, providing a culture of learning and collaboration, and helping them with what they need to succeed and thrive. We have their backs as they grow their skills, conquer new challenges, or even take time to spend with their family or community. And when they- re ready to take on a new career path, we- re right there with them, giving them the guidance and momentum into the best future they envision. Because we believe that the best way to back our customers is to back our people. The powerful backing of American Express. Dont make a difference without it. Dont live life without it. Function Description : - With a focus on digitization, innovation, and analytics, the Enterprise Digital Analytics (EDA) 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 EDA is the integration of diverse skills across all of its remit. EDA has a very broad range of responsibilities, resulting in a broad range of initiatives around the world.
-The American Express Enterprise Digital Member Experiences teams centralize web, mobile and push digital product management activities to support our businesses across the enterprise.
-The focus of this collaborative team is to drive growth via digital user experiences, marketing, strategy, and analytics.
-The team specializes in using data around digital product usage to drive improvements in the customer experience to deliver higher satisfaction and business value.
-The role also focuses on driving usage of digital products like Mobile App by recommending data drive feature additions using data from other offline channels. Purpose of the Role : - Deliver data driven insights and strategy for Digital Loyalty Products to drive higher member engagement with the brand and delivering business value Responsibilities : - Translate complex business issues into structured and well-thought out solutions that will drive decision-making by using business knowledge as well as sound technical knowledge - Partner with global product teams to drive engagement, spend growth and prevent attrition - Devise test and learn strategy for product experience including test planning, execution and analytics - Build data foundation for digital products by effectively bringing impression and interaction data across vendors, products and platforms together to develop a structured, customer level and analytics friendly view of the data - Partner across Application Experience Digital Product teams to drive relevant test and learn campaigns Critical Factors to Success : Business Outcomes : Deliver on acquisition analytics testing realize business benefit using below metrics: - NAA/BBA-V/ADB Acquired - Attrition Rates / Conversion rates / App Completion rates / App approval rates Deliver on customer analytics testing by contributing to enterprise digital member experiences goals : - Digital Adoption and Usage - Digital Revenue Contribution - Call Displacement Leadership Outcomes: - Put enterprise thinking first, connect the roles 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 worlds best customer experiences every day Qualifications : Past Experience : 0-6 years of relevant experience Preferred : Experience in data analytics and statistical modeling techniques Academic Background : Bachelors in Statistics/Mathematics/Economics/ Engineering with relevant experience Post Graduate in Statistics/Mathematics/Economics/ Engineering/Management Functional/Technical Skills/Capabilities : Analytics Insights Targeting: - Data manipulation statistical analysis tools - R, Python, SAS SQL - Advanced Statistical Techniques Digital Testing Analytics : - A/B testing - Multivariate testing - Knowledge of Digital Channels Products Knowledge of Platforms : - Hadoop - Big Data - Cornerstone - Digital Tracking tools like Omniture, Tealium Behavioral Skills/Capabilities : Enterprise Leadership Behaviors Set The Agenda : Define What Winning Looks Like, Put Enterprise Thinking First, Lead with an External Pe...

Required Skills : English