Part-Time Remote Data Analyst – Los Angeles, CA

Published on CazVidat NPA WORLD WIDE

Explore a part-time remote Data Analyst opening with NPA WORLD WIDE in Los Angeles. Flexible hours, one-on-one guidance, and $40 per hour pay.

Verified by CazVidlast yearOpen until: Nov 11, 2026

Salary

$40 per hour

Location

United States

Employment type

Part time

Workplace

Remote

Part-Time Remote Data Analyst – Los Angeles, CA

$40 per hour

Apply now

Job description

NPA WORLD WIDE is hiring a part-time remote Data Analyst. This role offers flexible scheduling and can be performed alongside another job.

Schedule and Compensation

  • Hours: Part-time shifts of 2–4 hours; full-time shifts of 8 hours are also mentioned in the posting.
  • Pay: $40 per hour, based on the listed pay rate.
  • Work arrangement: Remote, with flexible working hours and daily payroll.

Responsibilities and Qualifications

  • No prior experience is required to start.
  • One-on-one guidance is provided.
  • Applicants must be at least 20 years old.

Perks and Benefits

  • Work-life harmony
  • Monthly team bonding
  • Remote work flexibility
  • Flexible hours
  • Opportunities to build skills
  • Friendly competition

Interested in this remote Data Analyst opening? Apply to learn more about the role and its requirements.

Frequently asked questions

  • Is this job remote or on-site?

    This position is not remote eligible and is located in Los Angeles, California.

  • What are the working hours for this part-time role?

    The part-time shifts are flexible and range from 2 to 4 hours per day.

  • Do I need prior experience to apply for this Data Analyst position?

    No prior experience is required as one-on-one guidance will be provided.

  • How much does this job pay?

    The salary ranges from USD 180 to 300 per day, plus overtime bonuses.

  • What is the minimum age requirement to apply?

    You must be 20 years or older to apply for this position.

  • What kind of support or training will I receive?

    You will receive one-on-one guidance to help develop your data analysis skills.

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