Data Analytics

3 weeks ago

Bengaluru, India JPMorgan Chase & Co. Full time
Job Responsibilities:
Define requirements, gather and analyze data, interpret results and findings, and recommend solutions through analysis, modeling, and visualizations
Develop and evolve processes and analytic approaches to improve team capabilities; contribute to team strategic road map and priorities
Build and maintain strong partnerships with analytic, business, reporting, and data teams; serve as a subject matter expert related to relevant tools, data stores, and business products and services
Maintain awareness of key CCB initiatives, issues, trends and changes impacting consumers and Chase
Adhere to firmwide and team documentation and control standards
Perform with limited direction, manage project work and timelines of varying complexity, perform analysis, create reports, and communicate insights as demonstrated in prior roles.
Required Qualifications, Capabilities and skills:
2 years of practical analytic experience that includes: requirements gathering, analysis/experiment design, execution, assessment, authoring, and publishing of results
Advanced knowledge and proficiency with analytic tools, data analysis methodologies (both descriptive and predictive), and database querying
Data wrangling expertise with one or more commonly used firmwide tools
Excellent critical thinking skills and abilities analyzing vast amounts of data into meaningful observations and insights
Strong written communication, and presentation skills
Current user of Tableau, Alteryx, SQL or related tools with experience in data mining, descriptive and predictive statistics, and principles of data visualization
Life-long focus on learning with a strong aptitude for technical subjects, new approaches and methods, and staying current
Preferred Qualifications, Capabilities and skills:
Bachelor's degree in Analytics, Statistics, Computer Science, Business, Math, Engineering, or technical field with prior experience analyzing structured and unstructured consumer data
Advanced skills with Excel and PowerPoint; strong presentation skills with experience converting complex analysis into effective presentation for mixed audiences
Comprehensive knowledge of business operations, objectives, strategies, process and information flow.

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