VP Data Analytics

3 weeks ago


Bengaluru, India JPMorgan Chase & Co. Full time
Job Responsibilities:We are looking for a seasoned banking analytics professional who will play an active role in building data driven solutions for the Consumer banking Sales Science Team .Leverage a wide range of data analysis tools and techniques to help

drive effective, personalized client interactionsConduct hypothesis testing and use advanced experimental design techniques – Design and execute A/B tests and multivariate tests to measure impact of effectiveness of product features/user experiences.Monitor and analyze experimental data to identify anomalies, trends and patterns and opportunities for improvement.Collaborate with cross functional teams to gather requirements, define success metrics and deliver actionable insightsEffectively communicate with project team members and stakeholders throughout the project lifecycle (status updates, gaps/risks, roadblocks, findings, .Develop visualization/ppt to summarize and communicate key findings to stakeholdersActively contribute in bringing in innovative ideas and continuously strive to upskill and learn new technologies.Required Qualifications, Skills and Capabilities:• 10+ years of banking analytics experience with strong focus on business/risk/marketing strategy. Role requires hands on expertise in SQL, Python/R• Experience with customer segmentation, profiling, clustering analysis, inferential statistics, data mining, experimental design techniques.• Strong grasp on marketing, strategy fundamentals of consumer banking business• Strong problem solving mindset and demonstrated experience in delivering customer outcomes for a consumer bank• Ability to mentor, guide and deliver work for self as well as the wider team• Strong communication skills (both verbal and written) to create executive ready decks and manage strategy approval meetings• Strong organization navigation skills along with ability to anticipate challenges and plan for contingencies• Strong business acumen and ability to translate technical details, observations and inferences into business language

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