Work from Home Data Analyst
@ Skillfied Mentor Jobs

Hybrid
$30,000
Hybrid
Intern
Posted 23 days ago

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Job Details

About the Work from Home Data Analyst

This internship opportunity is designed for detail-oriented and motivated individuals to gain real-world experience in data collection, cleaning, analysis, and visualization. You will work remotely with flexible hours under the mentorship of experienced professionals.

Key Responsibilities

  • Collect, clean, and organize data from multiple sources
  • Analyze datasets to identify patterns and trends
  • Create reports and dashboards using Excel, SQL, Power BI, or Python
  • Support the team in data-driven decision making
  • Present insights and findings clearly to mentors or team members

Who Can Apply

This role is open to students, freshers, and working professionals with basic knowledge of Excel or SQL who are interested in data analytics.

What You’ll Gain

  • Real-world experience working with datasets
  • Flexible working hours for convenience and balance
  • Guidance and mentorship from professionals
  • Certificate of completion after a successful internship
  • Skill development in data analysis and visualization tools

Key skills/competency

  • Data Collection
  • Data Cleaning
  • Data Analysis
  • Visualization
  • Excel
  • SQL
  • Power BI
  • Python
  • Reporting
  • Attention to Detail

How to Get Hired at Skillfied Mentor Jobs

🎯 Tips for Getting Hired

  • Customize Your Resume: Tailor it to data analysis skills.
  • Highlight Relevant Tools: Emphasize Excel, SQL, Python, Power BI.
  • Prepare Examples: Showcase data projects or course work.
  • Practice Interview Questions: Focus on data analytical scenarios.

📝 Interview Preparation Advice

Technical Preparation

Review Excel functions and formulas.
Practice SQL query writing.
Familiarize with Power BI dashboard creation.
Explore Python data analysis libraries.

Behavioral Questions

Describe a time you solved a data issue.
Explain how you manage deadlines remotely.
Share an example of teamwork in analysis.
Discuss a challenge and how you overcame it.

Frequently Asked Questions