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Data Analytics - Analyst

JPMorgan Chase

Updated on: 02 January 2024

Additional Details

Work Location

Bengaluru, India

location

Job Type

FTE

job_type

Batch

2023 | 2022 | 2021

batch

Stream Required

Bachelor’s degree in Computer Science

stream

Salary

14-16 LPA (Expected)

salary

Job Description

Build your career in Data Analytics while working in the world’s most innovative bank which values creativity and excellence. 

You are a strategic thinker passionate about driving solutions. You have found the right team.

Job Responsibilities

  • Data analytics and insight generation initiatives through hands-on data science techniques
  • Create experimental framework to facilitate data collection as needed
  • Define the comprehensive analytics approach leveraging a combination of business knowledge, statistical methodologies, data techniques and machine learning algorithms
  • Build models/data applications to produce actionable insights. Develop impactful visualizations delivering simplified insights messaging
  • Interact with business and functional stakeholders throughout the organization on analytics Initiatives and development
  • Synthesize business needs and identify optimal data solutions to address the needs
  • Deliver data insights, business value and recommend next steps to senior stakeholders

Required qualifications, capabilities and skills

  • Experience in premier analytics firms or teams in BFSI, E-Commerce domains or dynamic start-ups focused on providing analytical solutions to clients
  • Hands on experience with Programming languages; (e.g., R, Python, SQL), Analytical tools (e.g., Alteryx), Distributed file systems (e.g., Hadoop), Visualization tools/programming (e.g., Qlik Sense, Tableau, D3), Cloud computing platforms (e.g., Amazon Web Services)
  • Ability to design and execute repeatable and scalable data solutions (extraction / mining / modeling / visualization)
  • Exposure and experience with designing and building machine learning algorithms
  • Familiarity of applied statistical methods involving regression, clustering, time series forecasting, customer segmentation, driver and causality analysis
  • Experience in interacting with business partners, gathering requirements, scoping business problems and communicating insights

Preferred qualifications, capabilities and skills

  • Bachelors in engineering, Computer Science, Math, Statistics or related discipline or an MBA from a reputed institution

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