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Entry Level Data Analyst Jobs in Oregon (NOW HIRING)

Consumer Direct Care Network

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

JOB SUMMARY The IT Data Engineer I is an entry-level position within the Enterprise Data department ... Identifying and analyzing opportunities to improve data processing efficiency, scalability, and ...

CONSUMER DIRECT CARE NETWORK

IT Data Engineer

OR · On-site +1

$114K - $137K/yr

JOB SUMMARY The IT Data Engineer I is an entry-level position within the Enterprise Data department ... Identifying and analyzing opportunities to improve data processing efficiency, scalability, and ...

Pwc

Data Engineer - Senior Associate

Portland, OR

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Teamwass

OR

... data integrity, and process improvement. This is not an entry-level payroll role and is not intended to be a transactional payroll analyst position. The position requires hands-on Workday Payroll ...

Cotiviti

Support Analyst

$25 - $30/hr

Overview The Support Analyst will assist in monitoring, analyzing, and resolving data platforms ... entrylevel #LI-REMOTE #LI-AK1 Employment Type: OTHER

OCHIN

APPRENTICE EPIC CLINICAL ANALYST

Portland, OR · On-site

Position Overview- The Apprentice Epic Clinical Analyst is an entry-level role designed to provide ... Interest in data analysis, problem solving and continuous learning. * Basic understanding of health ...

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All JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in Oregon

Entry Level Data Analyst information

See Oregon salary details

$13

$34

$65

How much do entry level data analyst jobs pay per hour?

As of Jul 5, 2026, the average hourly pay for entry level data analyst in Oregon is $34.81, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $38.89 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

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. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Oregon? The most popular types of Data Analyst jobs in Oregon are:
What are popular job titles related to Entry Level Data Analyst jobs in Oregon? For Entry Level Data Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst jobs in Oregon look for? The top searched job categories for Entry Level Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Entry Level Data Analyst jobs? Cities in Oregon with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in Oregon as of June 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $72,411 per year, or $34.8 per hour.

Data Analyst (STEM OPT - Entry Level)

DHARWIN BUSINESS SOLUTIONS LLC

OR • Remote

Full-time

Posted 8 days ago

Job description

Location: Remote (United States)
Job Type: Full-Time
Company: Dharwin Business Solutions LLC

About the Company

Dharwin Business Solutions LLC is a US-based technology and business consulting firm providing data analytics, reporting, automation, and business intelligence solutions to clients across the United States and international markets. We work with real-world datasets to support decision-making, operational efficiency, and business growth.

Job Description

We are seeking a STEM OPT-eligible Data Analyst to join our remote analytics team. This role is designed to provide structured training, hands-on project experience, and continuous supervision, ensuring compliance with STEM OPT requirements while helping the candidate build strong analytical and professional skills.

️ Key Responsibilities

  • Analyze structured and unstructured datasets to identify trends and insights

  • Prepare dashboards and reports using tools such as Excel, SQL, Power BI, or Tableau

  • Perform data cleaning, validation, and transformation activities

  • Support business teams by generating periodic performance and KPI reports

  • Assist in ad-hoc data analysis for client and internal projects

  • Document analysis processes and maintain data accuracy standards

  • Work under guidance using internal project monitoring and reporting tools

Qualifications (STEM OPT Eligible)

  • Master’s or Bachelor’s degree in Data Analytics, Data Science, Computer Science, Information Systems, Business Analytics, or related STEM field

  • Currently on F-1 visa with approved STEM OPT or eligible for STEM OPT extension

  • Basic to intermediate knowledge of:

    • SQL

    • Excel

    • Python or R (preferred)

    • Data visualization tools (Power BI / Tableau – preferred)

  • Strong analytical thinking and problem-solving skills

  • Good written and verbal communication skills

‍ Training & Supervision (STEM OPT Compliance)

  • Structured on-the-job training aligned with the candidate’s STEM degree

  • Regular supervision through internal project tracking and reporting systems

  • Periodic performance evaluations and skill assessments

  • Continuous learning through real-time projects and guided tasks

What We Offer

  • 100% Remote work (USA)

  • STEM OPT-compliant employment and training plan

  • Hands-on experience with real client projects

  • Career growth and long-term opportunities

  • Supportive and learning-focused work environment

How to Apply

Interested candidates may apply by sending their resume and visa status details to:
support@dharwinbusinesssolutions.com