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 How will you make an impact in this role The Enterprise Digital ED team operates with the mission of building customer-centric digital experiences and drive enterprise value powered by unified integrated solutions and scale of expertise The Experimentation Center of Excellence within the broader Enterprise Digital team supports the protocol best-practices and insights-driven tools for all the digital portfolios of the enterprise The team specializes in deep statistical research and bringing it to practical use for the purpose of driving the velocity rigor and culture of experimentation The team collaborates across the enterprise to establish experimentation as a practice for product evolution and deliver trustworthy insights Responsibilities Establish CoE as the best-in-class resource for digital experimentation and insights combining statistical research practical applications platforms and tooling Increase and improve the velocity and culture of experimentation across enterprise by improving experimentation protocols finding new areas of experimentation and onboarding new teams Improve test planning and analysis protocols for greater volume of experimentation while maintaining statistical rigor and results reliability Establish best practices for results readouts including KPI selection scorecards and standardization of reporting Aggregate experimentation summary across enterprise for reporting and building sophisticated models for predicting results and establishing Bayesian priors Bring a fresh perspective to experiment-worthy ideas Be an expert coach leading a team of analyst s as well as providing guidance training and feedback across the enterprise Lead selection improvement and administration of experimentation platforms Required Qualifications Skills and Experience Postgraduate PhD in statistics mathematics economics physics engineering or finance with a strong focus on quantitative and statistical methods programming Min 3 years of relevant work experience in data analytics and experimentation not just A B testing with depth in mathematical awareness of Hypothesis Testing RCT and Design of Experiments experience in quantitative business and product analytics preferred Strong applied skills in complex inferential and Bayesian Hypothesis Testing understanding of sequential methods T1 error-adjustment Contextual Bandits Some leadership experience as a statistician analytics manager preferred with a strong ability to simplify complex techniques for broader consumption and contextualize advantages of stats best practices in driving business decisions Strong programming skills in SQL Big Query or equivalent R RShiny statistical analysis packages Python for data science some experience in platform management Docker Images Linux CI CD pipelines highly valuable Bonus Points for STAN PySpark Tensor-Flow Experience of working with big data analytics and Analytics Experimentation Platforms Adobe Analytics Optimizely Statsig Tableau etc valuable Excellent problem-solving skills and ability to translate technical analysis into actionable business insights Strong communication skills with experience supporting storytelling efforts for diverse audiences Excellent teamwork and thought leadership skills with experience collaborating with partners across the globe 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 advantages depending on location Versatile 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

📌 Manager -data Analytics (Haryana)
🏢 American Express
📍 Haryana