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Data Analyst (Hybrid) Job in Bengaluru at Kaplan

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Data Analyst (Hybrid)

Kaplan

  Full Time Job

  Not Disclosed

  2-4 years

  Posted  30+ days ago

Location
  • Bengaluru
Skills Required
  • Python
  • R
  • Tableau
  • Data Visualization
  • Data Analysis
  • Problem Solving
  • Analytical skills
  • Presentation Skills
About this Job

Kaplan is hiring for the role of Data Analyst (Hybrid)!

Responsibilities of the Candidate:

  • Assess work requests and determine the problem to be solved.
  • Converse with stakeholders to ensure the problem is accurately defined.
  • Gather and generate hypotheses as to what solutions might exist.
  • Determine all data points to be collected to analyze the problem.
  • Gather data from disparate sources (APIs,  databases,  files, and, documents).
  • Clean and merge data sets to make broader data sets for analysis.
  • Perform exploratory analysis to understand the nature of data sets.
  • Identify relationships, patterns, and, driving factors in data.
  • Build, evaluate, and refine predictive models over time.
  • Synthesize outcomes from analysis and distill them into feasible solutions.
  • Communicate key findings in data using intuitive visualizations.
  • Present findings and recommendations to business executives.

Requirements:

  • Bachelor's or Master's degree in Data Science, Statistics, or a related field.
  • 2+ years of experience in data analysis.
  • Strong proficiency in Python and R.
  • Experience with Tableau and other data visualization tools.
  • Excellent communication and presentation skills.
  • Ability to work independently and as part of a team.
Eligible Degrees
Master of Business Administration / All Courses
Bachelor of Technology/Engineering / All Courses
Master of Technology / All Courses
Bachelor of Arts / All Courses
Bachelor of Science / All Courses

+86 More

Who can apply
Work Experience: 2-4 years
Eligible Graduation Years: 2022, 2021, 2020, 2019
Documents Required

1. Resume

2. ID Proof (e.g. Aadhar Card, PAN Card, etc.)

About Kaplan
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