Remote Data Analyst (Part-Time) – Berkeley, CA
Published on CazVidat NAP WORLDWIDE
Explore a remote Data Analyst opportunity with NAP WORLDWIDE in Berkeley, CA. Flexible hours, no experience required, and one-on-one guidance provided.
Salary
$45 per hour
Location
United States
Employment type
Part time
Workplace
Remote
Remote Data Analyst (Part-Time) – Berkeley, CA
$45 per hour
Job description
NAP WORLDWIDE is hiring a remote Data Analyst for a part-time role serving candidates in Berkeley, California. Flexible scheduling is available, and the role may fit around an existing job.
Schedule and compensation
- Part-time shifts of 2–4 hours or full-time shifts of 8 hours are described.
- Pay amount provided: $45 per hour.
- The posting also states daily payroll and mentions overtime bonuses; details should be confirmed with the employer.
Requirements and guidance
- Applicants must be at least 20 years old.
- No prior experience is required to start.
- One-on-one guidance is provided.
- Remote work and flexible hours are offered.
Perks and benefits
- Work-life harmony
- Monthly team bonding
- Remote freedom
- Flexible hours
- Skill development
- Friendly competition
Apply to learn more about the Data Analyst role, schedule options, and compensation details with NAP WORLDWIDE.
Frequently asked questions
Is this job remote or on-site?
This position is not remote eligible and is located in Berkeley, California.
What kind of hours can I expect for this part-time role?
You can work flexible part-time shifts of 2-4 hours or full-time 8-hour shifts, depending on your preference.
Do I need prior experience to apply for this Data Analyst position?
No prior experience is required as comprehensive one-on-one guidance will be provided.
How much does this job pay?
The salary ranges from USD 180 to 300 per day, with overtime bonuses available.
Are there any age requirements for this job?
Yes, you must be 20 years or older to apply.
What kind of support or training will I receive?
You will receive comprehensive one-on-one guidance to help you develop your data analysis skills.