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Entry Level Data Analyst Jobs in Gresham, OR (NOW HIRING)

Research Assistant 2

Portland, OR · On-site

$25.83 - $36.93/hr

... analysis of scientific data; and preparation of illustrations for publication. Research assistants at this level, unlike entry-level research assistants, are expected to carry out defined tasks with ...

... Analyzing campaign performance data to generate insights and recommendations for improvement ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

New

Position Summary We are seeking an entry-level Hardware Design Engineer to contribute to the design ... data analysis. * Experience developing and debugging microcontroller-based systems. * Knowledge of ...

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

(USA) Realty Project Coach

Vancouver, WA · On-site

$80K - $121K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

Store Supervisor

Vancouver, WA · On-site

$80K - $121K/yr

... from entry-level roles all the way to executive positions. Thanks to our unique mix of career ... data analysis, or related area OR 3 years of experience in project management, space management ...

Showing results 21-40

Entry Level Data Analyst information

See Gresham, OR salary details

$14

$34

$65

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

As of Aug 16, 2026, the average hourly pay for entry level data analyst in Gresham, OR is $34.88, according to ZipRecruiter salary data. Most workers in this role earn between $22.40 and $38.94 per hour, depending on experience, location, and employer.

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.

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.

What are the most commonly searched types of Data Analyst jobs in Gresham, OR?

The most popular types of Data Analyst jobs in Gresham, OR are:

What are popular job titles related to Entry Level Data Analyst jobs in Gresham, OR?

For Entry Level Data Analyst jobs in Gresham, OR, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst jobs in Gresham, OR look for?

The top searched job categories for Entry Level Data Analyst jobs in Gresham, OR are:

What cities near Gresham, OR are hiring for Entry Level Data Analyst jobs?

Cities near Gresham, OR with the most Entry Level Data Analyst job openings:

Infographic showing various Entry Level Data Analyst job openings in Gresham, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $72,554 per year, or $34.9 per hour.

Coordinator, Digital Advertising

Da Francesco's

Portland, OR • Remote

Full-time

Re-posted 15 days ago


Job description

Catalyst IQis adigital marketing and technology leader formed by uniting Advance Automotive's top brands-Adpearance, Fox Dealer, Search Optics, and ZeroSum. We empower automotive dealers and manufacturers to grow with precision and profitability through smarter, faster, and more comprehensive solutions. As a part of Advance Local and built on a foundation of over a decade of proprietary technology development, 23 billion data points, 22 OEM certifications, and a national sales force, Catalyst IQ combinescutting-edgeinnovation with humanexpertiseto deliver real-time insights and actionable intelligence that accelerate sales.

The next generation of business leaders won't just understand technology-they'll know how to use AI, data, and automation to solve real-world problems. At Catalyst IQ, we're looking for recent graduates who want to be on the front lines of that transformation.

Catalyst IQ is hiringaDigital Advertising Coordinator

Remote- Based position

The Digital Advertising Coordinator (AI-Fluent) supports the development, execution, and optimization of digital advertising campaigns while leveraging AI tools and automation to improve efficiency, analysis, and performance.

This is an entry-level role designed for someone early in their career who is excited about digital marketing, technology, and problem-solving. We're looking for a curious, analytical, and adaptable individual who embraces AI as a tool for learning, productivity, and innovation. The ideal candidate is eager to develop expertise in digital advertising while finding creative ways to use AI to streamline work, uncover insights, and drive better results.

Success in this role comes from a willingness to learn, strong attention to detail, analytical thinking, and a passion for continuously improving how work gets done.

Responsibilities

  • Assist in the creation, management, and optimization of digital advertising campaigns across Google, Microsoft, Meta, and other advertising platforms.
  • Monitor campaign performance and support optimization efforts through data analysis and research.
  • Utilize AI tools to assist with reporting, research, content development, campaign management, and process improvement.
  • Identify opportunities to improve efficiency by leveraging AI and automation within daily workflows.
  • Analyze campaign and performance data to identify trends, opportunities, and actionable insights.
  • Support the development of reports, dashboards, and performance summaries for internal teams and clients.
  • Collaborate with team members to execute digital marketing strategies and client initiatives.
  • Contribute to the maintenance and improvement of internal tools, documentation, and operational processes.
  • Stay current on digital advertising trends, platform updates, and emerging AI technologies.
  • Demonstrate a proactive approach to learning new technologies, tools, and best practices.

Qualifications

Knowledge, Skills, Abilities

  • Proficiency in Microsoft Excel, PowerPoint, and Word.
  • Familiarity with AI tools such as ChatGPT, Claude, Gemini, Copilot, or similar platforms.
  • Interest in using AI to improve productivity, automate tasks, analyze information, and solve business problems.
  • Strong analytical and problem-solving skills.
  • Comfortable working with data, numbers, and performance metrics.
  • Excellent written and verbal communication skills.
  • Strong attention to detail and commitment to accuracy.
  • Curiosity and a desire to continuously learn and improve.
  • Ability to manage multiple priorities in a fast-paced environment.
  • Self-starter with a positive attitude and growth mindset.

Education and Experience

  • Bachelor's degree in Marketing, Advertising, Analytics, Economics, Mathematics, Computer Science, Business, Finance, or a related field required.
  • Internship, coursework, project work, or professional experience in digital marketing, advertising, analytics, AI, technology, or a related field preferred.
  • Familiarity with Google Ads, Microsoft Ads, Meta Ads, LinkedIn Ads, or similar advertising platforms is a plus.
  • Familiarity with GA4, reporting platforms, or data visualization tools is a plus.
  • Demonstrated use of AI tools for research, productivity, content creation, analysis, or process improvement is strongly preferred.

Travel:Infrequent (less than 5%)