Data Analyst
@ Tyno AI

Hybrid
$70,000
Hybrid
Part Time
Posted 11 hours ago

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XXXXXXXXX XXXXXXXXXXX XXXXXXX****** @tyno.ai
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Job Details

Data Analyst

Join Tyno AI and contribute to our success. This role offers professional growth in a supportive and inclusive environment with flexible work hours and remote options.

Job Summary

The ideal candidate will support daily operations, maintain accuracy, communicate effectively, and adhere to company standards. A proactive attitude 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.
  • Follow company policies, procedures, and deadlines.
  • Take initiative and handle tasks flexibly.
  • Contribute to a positive 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 or within a team.
  • Adaptable and willing to learn new tools.
  • Reliable and responsible work ethic.

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 when applicable.
  • Paid time off and holiday benefits.
  • Employee support programs and recognition.

Key skills/competency

  • Data Analysis
  • Attention to Detail
  • Teamwork
  • Communication
  • Time Management
  • Problem Solving
  • Adaptability
  • Proactivity
  • Operational Support
  • Organizational Skills

How to Get Hired at Tyno AI

🎯 Tips for Getting Hired

  • Research Tyno AI's culture: Study mission, values, and recent news.
  • Customize your resume: Highlight data analysis and teamwork skills.
  • Emphasize details: Clearly mention accuracy and organizational skills.
  • Prepare for interviews: Practice common operational and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL queries and data extraction.
Practice data visualization using Excel and Python.
Refresh basics on spreadsheet functions and formulas.
Learn common data analysis tools and methods.

Behavioral Questions

Describe a situation requiring teamwork.
Explain how you manage tight deadlines.
Share an example of problem solving.
Discuss adapting to work changes.

Frequently Asked Questions