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Data Analytics Role – Python Focus(Intern)

EY

Updated on: 07 March 2025

Additional Details

Website

www.ey.com

website

Work Location

India - Local Office

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Job Type

Internship + Fte

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Batch

2025 | 2024

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Stream Required

Any Graduate

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Salary

40K/ Month (Expected) Stipend

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Job Description

Job Description - Entry-Level Data Analytics Role – Python Focus – Staff Level Profile

Experience Level – Fresh Graduates Welcome
Responsibilities:

  • Design and implement data analytics solutions primarily using Python, with exposure to Power BI.
  • Participate in the ETL process, utilizing Python to manipulate and prepare data for analysis.
  • Assist in the creation of dashboards and reports in Power BI to enable data-driven decision-making.
  • Conduct basic data analysis to uncover insights, trends, and patterns within datasets.
  • Work collaboratively with teams to gather data requirements and ensure the delivery of tailored analytics solutions.
  • Contribute to the maintenance of data quality and integrity through validation and cleansing techniques.
  • Document analytics workflows and findings to facilitate knowledge transfer and adherence to best practices.
  • Keep abreast of the latest developments in data analytics and visualization technologies.
  • Support the education of business users on the utilization of analytics tools and methodologies.
  • Engage in business development activities by assisting with proposal creation and other initiatives.
  • Take part in special projects and perform other duties as needed to support the team.

 

Required Skillset:

  • Strong foundational knowledge in Python programming for data analysis; experience through academic projects or internships is highly valued.
  • Familiarity with Power BI or a willingness to learn and develop skills in creating interactive dashboards and reports.
  • Basic understanding of SQL and experience with relational databases.
  • Analytical mindset with the ability to process and interpret complex data accurately and efficiently.
  • Proactive problem-solving skills and a focus on delivering results.
  • Capable of working autonomously and collaboratively in a dynamic setting.
  • Effective communication skills, capable of explaining intricate data concepts to diverse audiences.

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