Data Analyst
@ WIE VIVI

Hybrid
$72,800
Hybrid
Part Time
Posted 10 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXX****** @wievivi.com
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Job Details

About the Data Analyst Role

Join WIE VIVI as a Data Analyst and contribute to our team success. This role provides a chance to grow professionally in a supportive and inclusive environment with flexibility and long-term career potential.

Job Summary

The ideal candidate supports daily operations, contributes to team goals, and upholds our standards of excellence. A proactive attitude, willingness to learn, and commitment to quality are essential.

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, procedures, and deadlines
  • Show initiative and flexibility in task management
  • Contribute to a positive work culture

Qualifications

High school diploma required; college degree is a plus. Basic computer and communication skills, strong organizational abilities, and a reliable work ethic are essential.

Benefits

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

Key skills/competency

  • data analysis
  • communication
  • teamwork
  • operations
  • accuracy
  • flexibility
  • organization
  • initiative
  • detail
  • adaptability
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How to Get Hired at WIE VIVI

🎯 Tips for Getting Hired

  • Customize your resume: Highlight relevant data analysis and operational skills.
  • Research WIE VIVI: Understand their values and team culture.
  • Tailor your cover letter: Match qualifications to job responsibilities.
  • Prepare for interviews: Review examples of problem-solving and teamwork.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries and data visualization.
Review Excel functions and statistical models.
Study data cleansing and transformation techniques.
Brush up on data analysis best practices.

Behavioral Questions

Describe a time you solved a problem.
Explain handling tight deadlines with teamwork.
Share an example of taking initiative.
Discuss adapting to unexpected task changes.

Frequently Asked Questions