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442 people are interested
Data Analyst Intern
ORGANIZATION: WE RISE 4 WELLNESS, INC
This opportunity is provided by VolunteerMatch's partner.
Please visit the new page to apply.
Please visit the new page to apply.
-
442 people are interested
Candidates will assist in Interpreting data, analyzing results using statistical techniques. Candidates will also develop and implement data analyses, data collection systems, and other strategies that optimize statistical efficiency and quality. Finally, you will have the opportunity to acquire data from primary or secondary data sources and maintaining databases. This is an opportunity to implement your learned skills and build your resume.
Skills you'll learn in this internship
leadershipnon-profit managementnon-profit leadershipstrategic data analysisdata analysisstatistical data analysis You can apply directly using with this link: https://forms.gle/aVT9Xy4jzrQkXwEF8More opportunities with WE RISE 4 WELLNESS, INC
2 ReviewsNo additional volunteer opportunities at this time.
About WE RISE 4 WELLNESS, INC
Location:
322 E MAGNOLIA STREET, ARCADIA, FL 34266, US
Mission Statement
We Rise 4 Wellness, Inc is focused on our mission of bringing Wellness to disenfranchised communities and diverse populations. We believe strongly that Wellness is a necessity not a luxury.
Description
We Rise 4 Wellness is a nonprofit organization that supports diverse populations and disenfranchised communities. We support these communities by establishing Wellness programs that will provide improved emotional, mental and physical health, community activities that support the growth of the local economy, and instruction and strategies through workshops and seminars that will improve the lives of those who participate.
CAUSE AREAS
Advocacy & Human Rights,
Community,
Health & Medicine
WHEN
We'll work with your schedule.
WHERE
This is a Virtual Opportunity with no fixed address.
DATE POSTED
September 27, 2024
SKILLS
GOOD FOR
N/A
REQUIREMENTS
- Skills you'll need for this internship: data analysis databases data collection sas data management