20 hours ago

Data Analyst Intern

Wake Up Whistle

Hybrid
Intern
$0
Hybrid

Job Overview

Job TitleData Analyst Intern
Job TypeIntern
Offered Salary$0
LocationHybrid

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Job Description

Data Analyst Intern at Wake Up Whistle

We are looking for enthusiastic and motivated Data Analyst Interns who want to gain hands-on experience and work on real-world data analytics projects.

Role & Responsibilities

  • Analyze datasets using Excel, SQL, and Power BI
  • Perform data cleaning, transformation, and validation
  • Create interactive dashboards and reports
  • Extract insights to support business decision-making

Eligibility Criteria

  • Freshers are also welcome
  • Basic understanding of Excel / SQL / Power BI
  • Strong analytical and problem-solving skills
  • Willingness to learn and grow in the analytics domain

Internship Details

  • Mode: Virtual / Remote
  • Duration: Flexible
  • Stipend: Not stipend based

Perks & Benefits

  • Hands-on practical exposure
  • Internship Certificate
  • Skill enhancement through real projects
  • Top performers will get 100% placement support

Key skills/competency

  • Data Analysis
  • Excel
  • SQL
  • Power BI
  • Data Cleaning
  • Data Transformation
  • Business Intelligence
  • Reporting
  • Problem Solving
  • Analytical Skills

Tags:

Data Analyst Intern
data analysis
data cleaning
data transformation
validation
reporting
dashboard creation
business insights
problem-solving
analytical skills
data extraction
Excel
SQL
Power BI
data visualization
business intelligence tools
database querying
spreadsheet software
reporting tools
analytics platforms

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How to Get Hired at Wake Up Whistle

  • Research Wake Up Whistle's mission: Study their values, recent news, and impact on data-driven solutions to align your application.
  • Tailor your resume for analytics: Highlight any experience with Excel, SQL, or Power BI, even from academic projects or personal learning.
  • Showcase data projects: Prepare a portfolio or case studies demonstrating your analytical and problem-solving skills using relevant tools.
  • Prepare for technical questions: Practice SQL queries, Excel functions, and data visualization concepts to demonstrate your core competencies.
  • Emphasize learning agility: Discuss your eagerness to learn and grow in the analytics domain, showcasing your motivation and adaptability.

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