Data Analyst
@ WIE VIVI

Hybrid
$70,000
Hybrid
Part Time
Posted 21 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXXXX******* @wievivi.com
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Job Details

About the Data Analyst Role

Join WIE VIVI as a Data Analyst and play a vital role in supporting daily operations with flexibility and long-term career potential in a remote setting.

Job Summary

The ideal candidate will perform various tasks to assist with daily operations, contribute to team goals, and maintain high standards of accuracy and professionalism.

Key Responsibilities

  • Support day-to-day operations and team functions
  • Maintain accuracy and attention to detail
  • Communicate effectively with team members and clients
  • Adhere to company policies and deadlines
  • Take initiative and demonstrate flexibility
  • Contribute to a positive work culture

Qualifications

High school diploma or equivalent required (college degree a plus). Basic computer and communication skills, strong organizational and time management abilities, and the ability to work independently or as part of a team are essential.

Benefits

  • Competitive salary with opportunities for increases
  • Flexible work hours and remote options
  • Opportunities for career growth and advancement
  • Ongoing training and development
  • Health, dental, and vision insurance (if applicable)
  • Paid time off and holiday benefits
  • Employee support programs and recognition

Key skills/competency

  • Data Analysis
  • Communication
  • Attention to Detail
  • Teamwork
  • Flexibility
  • Time Management
  • Problem Solving
  • Initiative
  • Operations Support
  • Professionalism
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How to Get Hired at WIE VIVI

🎯 Tips for Getting Hired

  • Customize your resume: Highlight data analysis skills and experiences.
  • Research WIE VIVI: Understand the company mission and culture.
  • Prepare examples: Use real work examples in your portfolio.
  • Practice communication: Be concise and clear for interviews.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and data manipulation basics.
Practice Excel and data visualization tools.
Familiarize with data cleaning and analytical methods.
Brush up on statistical analysis techniques.

Behavioral Questions

Describe a time you solved data errors.
Explain team conflict resolution experiences.
Discuss time management in high-pressure scenarios.
Give an example of self-driven learning.

Frequently Asked Questions