Data Analyst Job in Berkeley, CA – Part-Time & Flexible Hours
Published on CazVidat NAP WORLDWIDE
Apply for Data Analyst at NAP WORLDWIDE in Berkeley, CA. Flexible part-time/full-time hours, no experience needed, daily pay $180-$300, and great benefits.
Salary
$180 - $300 per day
Location
Berkeley, California, United States
Employment type
Part time
Workplace
Not provided
Data Analyst Job in Berkeley, CA – Part-Time & Flexible Hours
$180 - $300 per day
Job description
Join NAP WORLDWIDE as a Data Analyst in Berkeley, California! We are currently hiring for the position of Data Analyst with flexible part-time shifts of 2-4 hours or full-time 8-hour shifts. This role is ideal for those seeking additional income without impacting their current job. Why Apply? No prior experience required – comprehensive one-on-one guidance provided Flexible working hours to fit your lifestyle Daily payroll with competitive salary ranging from $180 to $300 per day plus overtime bonuses Must be 20 years or older Perks and Benefits Work-Life Harmony Monthly Team Bonding Activities Remote Freedom (Note: This position is not remote eligible) Flexible Hours Skill Amplification Opportunities Friendly Competition to boost motivation Location: Berkeley, California, United States Job Type: Part-time with option for full-time hours Salary: $45 per hour Apply now to become a part of NAP WORLDWIDE’s dynamic team and enhance your data analysis skills while enjoying flexible work schedules and daily pay!
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.