American Express - Business Analyst (0-3 Yrs) Gurgaon/Gurugram (Others) by American Express
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नौकरी का सारांश
American Express - Business Analyst (0-3 Yrs) Gurgaon/Gurugram (Others) by American Express
वेतन - चर्चा योग्य
नौकरी का प्रकार - ऑफिस से फुल टाईम नौकरी
रोजगार का प्रकार - कंपनी के पेरोल पर नौकरी
XpatJobs (November-2017 से पंजीकृत) ने 9 दिन पहले इस नौकरी को पोस्ट किया था
नौकरी के लिए आवश्यक मानदंड
न्यूनतम अनुभव - फ्रेशर
कौन आवेदन कर सकता है - पुरुष / महिला दोनों
नौकरी का विवरण
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. We- ve 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.
-This team within the Enterprise Digital Analytics (EDA) organization is responsible for creating and maintaining data repositories and reporting solutions which enable our partners across the proprietary consumer markets to drive effective business strategies, make fact based decisions and track business outcomes.
-This position will focus on maintaining existing capabilities, driving continuous innovation, creating new capabilities as per business needs, catering to partner queries and providing them consultation on how to use and interpret the various variables/metrics available to them and driving adhoc analysis as needed.
-Purpose of the Role : Drive scale for the business, and accelerate innovation for both immediate impact as well as long-term transformation of the : - Rewards: Attract customers increase engagement through Best in class Loyalty - Program: The Rewards team is responsible for the overall management of our rewards programs across both proprietary and network markets. This entails the strategy of the overall programs, capability development including the move to digital, multinational partnership management, and managing rewards expense while improving the customer experience. Critical Factors to Success : Business Outcomes : - Improve content relevance and digital channel utilization by developing advanced analytical and personalization capabilities - Create a competitive advantage for Amex by leveraging marketing insights - Accurate reporting on KPIs across diverse digital and traditional channels - Standardize and automate custom measurement methodologies and processes 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 : 0-3 years relevant experience in analytics industry Preferred : Experience in consumer behavior with exposure to analytics, machine learning, data science and other analytical tools - Python, R, SAS Academic Background : Bachelors in Economics/Engineering, Post Graduate in : Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management Functional/ Technical Skills/Capabilities : - Data Science/Machine Learning/Artificial Intelligence - Expertise in Coding, Algorithm, High Performance Computing - Analytics Insights Targeting : 1. R, Python, C, C , Java, SAS/SQL in UNIX environment. 2. Hive 3. Advanced Statistical Techniques - Knowledge of Digital Channels Products : 1. Standard data mining and customer segmentation techniques is also desirable 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 Cour...
Required Skills : English
-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.
-This team within the Enterprise Digital Analytics (EDA) organization is responsible for creating and maintaining data repositories and reporting solutions which enable our partners across the proprietary consumer markets to drive effective business strategies, make fact based decisions and track business outcomes.
-This position will focus on maintaining existing capabilities, driving continuous innovation, creating new capabilities as per business needs, catering to partner queries and providing them consultation on how to use and interpret the various variables/metrics available to them and driving adhoc analysis as needed.
-Purpose of the Role : Drive scale for the business, and accelerate innovation for both immediate impact as well as long-term transformation of the : - Rewards: Attract customers increase engagement through Best in class Loyalty - Program: The Rewards team is responsible for the overall management of our rewards programs across both proprietary and network markets. This entails the strategy of the overall programs, capability development including the move to digital, multinational partnership management, and managing rewards expense while improving the customer experience. Critical Factors to Success : Business Outcomes : - Improve content relevance and digital channel utilization by developing advanced analytical and personalization capabilities - Create a competitive advantage for Amex by leveraging marketing insights - Accurate reporting on KPIs across diverse digital and traditional channels - Standardize and automate custom measurement methodologies and processes 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 : 0-3 years relevant experience in analytics industry Preferred : Experience in consumer behavior with exposure to analytics, machine learning, data science and other analytical tools - Python, R, SAS Academic Background : Bachelors in Economics/Engineering, Post Graduate in : Post Graduate Degree in Statistics/Mathematics/Economics/ Engineering/Management Functional/ Technical Skills/Capabilities : - Data Science/Machine Learning/Artificial Intelligence - Expertise in Coding, Algorithm, High Performance Computing - Analytics Insights Targeting : 1. R, Python, C, C , Java, SAS/SQL in UNIX environment. 2. Hive 3. Advanced Statistical Techniques - Knowledge of Digital Channels Products : 1. Standard data mining and customer segmentation techniques is also desirable 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 Cour...
Required Skills : English
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