Data Analyst
@ MRI NovaView

Hybrid
$78,000
Hybrid
Part Time
Posted 21 days ago

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XXXXXXXXXX XXXXXXXXX XXXXXXXXX******* @mrinoview.com
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Job Details

About the Data Analyst Role

We are looking for dedicated and motivated individuals to join MRI NovaView and contribute to our continued success. This role offers flexibility, long-term career potential, and a supportive, inclusive work environment.

Job Summary

The ideal candidate will support day-to-day operations, contribute to team goals, and uphold our standards of excellence. A proactive attitude, willingness to learn, and commitment to quality are essential.

Key Responsibilities

  • Support daily operations and team functions
  • Maintain accuracy and attention to detail
  • Communicate effectively with team members and clients
  • Follow company policies, procedures, and deadlines
  • Take initiative and adapt to task requirements
  • Foster a positive and respectful work culture

Qualifications

  • High school diploma or equivalent (college degree a plus)
  • Basic computer and communication skills
  • Strong organizational and time management abilities
  • Ability to work independently and collaboratively
  • Adaptable and quick to learn new tools
  • Reliable and responsible work ethic

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 (if applicable)
  • Paid time off and holiday benefits
  • Employee support programs and recognition

Key Skills/Competency

  • Data Analysis
  • SQL
  • Spreadsheets
  • Attention to Detail
  • Communication
  • Teamwork
  • Problem Solving
  • Time Management
  • Adaptability
  • Data Visualization

How to Get Hired at MRI NovaView

🎯 Tips for Getting Hired

  • Customize your resume: Tailor examples to data analysis projects.
  • Highlight skills: Emphasize SQL, spreadsheets, and detail orientation.
  • Research MRI NovaView: Study company values and culture online.
  • Prepare for interviews: Review typical data analyst questions.
  • Practice communication: Clear, concise responses win interviews.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL queries.
Review Excel and spreadsheet functions.
Learn basic data visualization techniques.
Study data cleaning methods.

Behavioral Questions

Describe a time you solved a problem.
Explain handling tight deadlines effectively.
Discuss teamwork experience clearly.
Share an instance of proactive initiative.

Frequently Asked Questions