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Part Time Entry Level Data Analyst Jobs in Oregon

... part-time opportunities. * No non-compete contracts. * Paid Time Off and paid holidays. Sick time ... Data collection utilizing Central Reach. * Billable hour requirements for full-time BCBAs: 25 hours

... part-time opportunities. * No non-compete contracts. * Paid Time Off and paid holidays. Sick time ... Data collection utilizing Central Reach. * Billable hour requirements for full-time BCBAs: 25 hours

... part-time opportunities. * No non-compete contracts. * Paid Time Off and paid holidays. Sick time ... Data collection utilizing Central Reach. * Billable hour requirements for full-time BCBAs: 25 hours

... part-time opportunities. * No non-compete contracts. * Paid Time Off and paid holidays. Sick time ... Data collection utilizing Central Reach. * Billable hour requirements for full-time BCBAs: 25 hours

This is a hybrid remote position Part-Time & Full-Time Opportunities Available Pay Range: $80,000 ... data systems. * Support the development of Behavior Therapists and BCBA Trainees. WHY CHOOSE US?

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Part Time Entry Level Data Analyst information

How to get a job as a data analyst with no experience?

To get a part-time entry-level data analyst position with no experience, focus on building foundational skills in Excel, SQL, and data visualization tools like Tableau or Power BI through online courses or tutorials. Gaining familiarity with basic statistical concepts and creating a portfolio of simple projects can also improve your chances, along with applying for internships or volunteer opportunities to gain practical experience.

What is a part time entry level data analyst?

A part time entry level data analyst is someone who works fewer hours than a full-time employee and is typically new to the field of data analysis. Their main responsibilities include collecting, cleaning, and interpreting data to help organizations make informed decisions. They often use basic tools like Excel or introductory data analysis software, and work under the supervision of more experienced analysts. Entry level roles are designed for those who may have limited professional experience or are recent graduates looking to build their skills.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data collection, Excel, and data visualization tools like Tableau or Power BI. These roles often serve as starting points for individuals with little professional experience in data analysis or related fields.

What types of projects and tasks can I expect to handle as a part-time entry level data analyst?

As a part-time entry level data analyst, you'll typically work on tasks such as cleaning and organizing raw data, creating basic reports and visualizations, and assisting with data quality checks. You might also help maintain databases or support senior analysts with ongoing projects, such as tracking key metrics or preparing presentations. The projects are usually well-defined and supervised, making this role an excellent opportunity to build foundational skills while working closely with experienced team members.

Is 40 too late for data science?

For a part-time entry-level data analyst role, age is not a barrier; skills such as proficiency in Excel, SQL, or Python are more important. Many professionals transition into data analysis later in their careers by gaining relevant certifications or completing online courses. Age should not prevent you from developing the necessary skills and applying for entry-level positions in data analysis.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. Entry-level data analysts will need to develop skills in data visualization, programming, and domain knowledge to stay valuable as AI advances. Human judgment remains critical in understanding nuanced insights and communicating findings effectively.

What are the key skills and qualifications needed to thrive as a Part Time Entry Level Data Analyst, and why are they important?

To thrive as a Part Time Entry Level Data Analyst, you generally need a basic understanding of statistics, data interpretation, and proficiency with spreadsheet tools like Microsoft Excel, often supported by a relevant degree or coursework. Familiarity with data visualization software (e.g., Tableau), databases (e.g., SQL), and potentially introductory certifications in analytics are common requirements. Attention to detail, problem-solving abilities, and effective communication are soft skills that set standout candidates apart. These skills and qualities are crucial for accurately analyzing data, drawing meaningful insights, and clearly presenting findings to support organizational decision-making.
What are popular job titles related to Part Time Entry Level Data Analyst jobs in Oregon? For Part Time Entry Level Data Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Part Time Entry Level Data Analyst jobs in Oregon look for? The top searched job categories for Part Time Entry Level Data Analyst jobs in Oregon are:
Infographic showing various Part Time Entry Level Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 100% Part Time. Highlights an 89% In-person, and 11% Remote job distribution.

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Oregon Health & Science University rating

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Job description

Function/Duties of Position

The Department of Psychiatry has an opening for an energetic and highly motivated Research Data Analyst 2. The incumbent will be responsible for conducting complex, large-scale data analyses of both existing and newly collected datasets, combining behavioral, demographic, healthcare record, and cognitive data to refine and test algorithms for health services research projects related to Traumatic Brain Injury, PTSD, and suicide prevention among Veterans, as guided by the investigative team. Additionally, the incumbent will assist with large database management, cleaning, harmonization, audit compliance and quality assurance and enhancing workflows for data collection, curation, processing, management, and sharing. The incumbent will also be responsible for providing data analytic expertise to support manuscript preparation and results dissemination. The position requires the ability to work independently, as well as part of a team, and manage assigned projects including justifying technical decisions with stakeholders. The candidate must have experience with the R statistical environment and Stata. The ideal candidate should be comfortable working in a team, troubleshooting issues, and have good verbal and written communication skills.

Required Qualifications
  • Master's degree in Public Health or Epidemiology AND 2 years of relevant experience OR Bachelor's degree in Public Health or Epidemiology AND 4 years of relevant experience.
  • The position requires expertise in and fluency in statistical analyses using both R and Stata.
  • Requires experience with longitudinal and multilevel data analysis to code, clean, and visualize data using large national survey datasets.
  • Requires experience compiling complex intergenerational cohort datasets from large, national studies, as well as experience identifying and harmonizing key variables across waves of large national cohort data sources.
  • Requires database management experience across multiple studies and laboratories
  • Requires experience with audit compliance and quality assurance of data.
  • Effectiveness in organizing tasks and setting priorities, multi-tasking, working efficiently with a team, and the ability to be adaptable, creative, and a quick learner are all necessary.
Preferred Qualifications
  • Preference will be given to applicants with experience conducting statistical analyses in epidemiology, mental health, and/or neuroimaging research.
  • Machine learning familiarity preferred.
Additional Details

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Upload cover letter and resume.  Please be sure to include months and years (MM/YYYY format) to the resume for jobs/work experience.

*OHSU Employees be sure to apply using your OHSU email.*

Why apply to OHSU?We are Oregon's only public academic health center. In addition to caring for patients, we lead groundbreaking research. We also train the next generation of health care professionals. As Portland's largest employer, we give you opportunities to learn and advance in a system of hospitals and clinics across Oregon and Southwest Washington. All are welcome. OHSU welcomes people of all ages, ethnicities, genders, national origins, religions and sexual orientations. We are striving to build an anti-racist, multicultural institution and encourage people with diverse backgrounds to apply. To request reasonable accommodation, contact askhr@ohsu.eduEmployment Type: PART_TIME

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About Oregon Health & Science University

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Oregon Health & Science University (OHSU) is a distinguished institution under the industry of higher education and healthcare, specifically in the field of medical science. Based in Portland, Oregon, US, it maintains a reputation for promoting research, teaching, patient care, and outreach. Established in 1887, OHSU has continually sought to redefine the parameters of healthcare delivery and biomedical discovery through its expansive catalog of programs and initiatives. A galvanizing mission drives OHSU: to improve the health and quality of life for all Oregonians through excellence, innovation, and leadership in health care, education, and research.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Portland, OR, US

Year founded

1887