Data Scientist
Company Name:-
JPMorgan Chase Bank, N.A.
Job Location:-
Bengaluru, Karnataka
Job Summary:-
Data Analyst and Insights
Description
JPMorgan Chase is expanding consumer business beyond the U.S.
borders for the first time, beginning with a digital-only retail bank in the U.K.
We are looking for commercially minded, customer focused, hands on data analysts, who want to be a part of building digital-only retail bank.
Culture is as important to us and we are looking for intellectually curious and honest, passionate, hungry individuals who would like to expand their skills whilst working on a new exciting venture for the firm.
This role will be based in Bangalore, India.
The success of this business relies on the platform that will be built – we will be using a stack that is cloud native relying on cutting edge technology and seek full stack minded engineers.
In this role, the candidate will be responsible for providing data driven insights and developing dashboards using Tableau to the consumer insights, products and marketing teams.
The role would also involve providing statistical analysis and consequently this role will suit a candidate looking to extend their analytical capabilities.
Key ResponsibilitiesCollaborate with key stakeholders, business partners, and research teams to understand business problemHelp the LOB stakeholders innovate through data-driven decisioning by querying data and merging information from diverse data sources to create rich datasets that enable better decision-making
Work with other Analytics teams and multi-task on projects to summarize and synthesize data and present recommendations to the businesses in a clear and logical manner
Identify unexplored data opportunities for the business to unlock and maximize the potential of digital data within the organizationSupport ongoing technology evaluation process and proof of concept projects
QualificationsExperience in scripting with SQL with a strong ability to write complex queries to extract informationExperience with statistics and big dataExperience in articulating product, user research or marketing questions, pulling data from datasets (SQL) and using statistics to arrive at an answer.
Competent in data analysis in PythonAnalyze data using tools such as Tableau, Alteryx, SQL and SAS to develop and automate reports or analysi
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