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Data Analytics Intern

ConnectWise

Updated on: 17 July 2025

Additional Details

Work Location

Bengaluru, India

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Job Type

FTE

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Batch

2025

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Stream Required

Bachelor’s degree

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Salary

5 – 9 LPA (Expected)

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Job Description

The Data Science Intern provides support for all the projects undertaken by the Product Growth team. This role is responsible for leading and assisting with analytics projects that will help contribute to the overall success of the organization’s Product Data Ecosystem, work in partnership with the Product, Engineering, Data and Information Technology teams to provide insights to internal stakeholders. This role is responsible for developing high-quality, innovative, fully performing analytics assets in compliance with coding standards.

Essential Duties & Responsibilities:

  • Ability to perform routine product growth analysis and procedures with limited supervision
  • Excellent communication and data literacy skills to share insights with Product Managers, Engineering and GMs
  • Designs, builds, and maintains large-scale Power BI dashboard, data pipelines, and reusable functions
  • Maintains an understanding of current and new product growth techniques, programming practices through continuing education, reading, and participation in professional conferences, workshops, or groups

Knowledge, Skills, and/or Abilities Required:

  • Good knowledge of Power BI, SQL, Python, Cloud and Code Governance tools
  • Broad theoretical knowledge of product growth KPIs
  • Ability to work constructively and independently under stress and pressure in a fast paced, multi-tasking environment
  • Strong team player with ability to build positive and collaborative relationships within the organization
  • Ability to adapt and understand new technology/processes as per business requirement

Educational/Vocational/Previous Experience Recommendations:

  • Bachelor’s degree in related field or equivalent work experience
  • Must have completed at least one course related to Data Analytics, Business Analysis, or Statistics
  • Eligibility is restricted to those who passed out in the year 2025.

Working Conditions:

Working from Office (5 days in a week)

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