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Data Analytics Associate Jobs in Portland, OR (NOW HIRING)

Data is often trapped in silos across disconnected systems of record, such as ERPs and EHRs ... Degree in Computer Science, Analytics, Information Systems, or a related field. * Bilingual ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Governance- Manager

Portland, OR · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Data Engineer Associate] is a plus - Designing and implementing thorough data architecture ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... Associate] is a plus - Designing and implementing thorough data architecture strategies ...

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Data Analytics Associate information

See Portland, OR salary details

$3.4K

$6.7K

$9.5K

How much do data analytics associate jobs pay per month?

As of Jul 10, 2026, the average monthly pay for data analytics associate in Portland, OR is $6,671.25, according to ZipRecruiter salary data. Most workers in this role earn between $6,050.00 and $7,116.67 per month, depending on experience, location, and employer.

What is an associate data analyst?

An associate data analyst is an entry-level or junior role responsible for collecting, processing, and analyzing data to support business decision-making. They often use tools like Excel, SQL, and data visualization software, and typically work under the supervision of more experienced analysts to develop their skills and understanding of data analysis processes.

What does a Data Analytics Associate do?

A Data Analytics Associate is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and data visualization techniques to identify trends, patterns, and insights from large datasets. Typically, they collaborate with different departments to interpret results, create reports, and provide actionable recommendations for process improvements or strategic planning. Their work is crucial for organizations looking to leverage data for competitive advantage.

Is an Associates in data analytics worth it?

An associate's degree in data analytics can provide foundational skills in data collection, analysis, and visualization, which are valuable for entry-level roles such as Data Analytics Associate. However, many employers also value relevant certifications and practical experience, so combining the degree with hands-on projects can enhance job prospects.

What can you do with an associate's in data analytics?

A Data Analytics Associate can analyze data sets, create reports, and support decision-making processes using tools like Excel, SQL, and data visualization software. This role often involves cleaning data, identifying trends, and working with teams to improve business outcomes, typically requiring strong analytical skills and attention to detail.

How does a Data Analytics Associate typically collaborate with other departments within a company?

Data Analytics Associates frequently work cross-functionally, partnering with teams such as marketing, finance, and operations. They help these departments interpret data, identify trends, and develop actionable insights that inform decision-making. Collaboration often involves attending meetings, participating in project teams, and communicating findings through reports or presentations. This close teamwork not only enhances business outcomes but also provides associates with exposure to different aspects of the organization, fostering professional growth.

What are the key skills and qualifications needed to thrive as a Data Analytics Associate, and why are they important?

To thrive as a Data Analytics Associate, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, economics, or computer science. Familiarity with data analysis tools such as SQL, Python, Excel, and visualization platforms like Tableau is typically required. Exceptional problem-solving abilities, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings. These skills ensure accurate data-driven insights that support informed business decisions and drive organizational success.

Will AI replace data analyst?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace the need for human analysts. Data analysts are essential for interpreting complex data, making strategic decisions, and providing context that AI tools cannot fully replicate. Skills in data visualization, statistical analysis, and understanding business needs remain critical for the role.
What are the most commonly searched types of Data Analytics jobs in Portland, OR? The most popular types of Data Analytics jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Analytics Associate jobs? Cities near Portland, OR with the most Data Analytics Associate job openings:
Infographic showing various Data Analytics Associate job openings in Portland, OR as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $80,055 per year, or $38.5 per hour.

GFD Program Director, Data Analytics

George Fox

Newberg, OR

Full-time

Posted 14 days ago


Job description

Job Responsibilities
  • Conduct thorough evaluations of existing Data Analytics curricula and lead curriculum redevelopment to ensure alignment with industry standards and best practices.
  • Oversee online Data Analytics bachelor’s degree programs and related courses.
  • Mentor, evaluate, and coach adjunct faculty; recruit and train new faculty; maintain GFD online adjunct training.
  • Manage Canvas faculty course sites: approve syllabi and course sites, oversee assessment tools.
  • Attend regular GFD team meetings; work closely with other Program Directors, Associate Dean, Program Coordinator, Registrar, Admissions, and Enrollment staff to support program excellence.
  • Teach an online course load of 6‑9 credits over an 11‑month academic year.
  • Demonstrate Christian leadership and serve as a role model to students through actions, words, and lifestyle.
  • Communicate effectively and courteously with employees, students, and the public in a spirit of teamwork, respect, and customer service.
  • Demonstrate experience working cross‑culturally with respect, appreciation, and humility.
  • Perform other duties as assigned.
Qualifications
  • Master's degree.
  • Relevant professional experience in Data Analytics that informs future‑thinking curriculum design, program oversight, and faculty mentoring, with alignment to industry standards.
  • Demonstrated excellence in teaching and a sustained commitment to continuous improvement.
  • Strong understanding of best practices in online teaching and learning; ability to teach and model these methods for affiliated faculty, particularly during onboarding.
  • Ability to manage a large group of remote faculty, providing timely professional development and ensuring consistent instructional quality for diverse student populations.
  • Conceptual understanding of andragogy to craft curriculum for adult learners.
  • Exceptional communication skills; ability to function effectively as part of a highly collaborative team.
  • Legal authorization to work in the United States. Only applicants who do not require future sponsorship for employment visas should apply.
  • Commitment to the University’s Theology of Racial and Ethnic Diversity.
  • Desire to work with a diverse community of students and employees.
  • Personal commitment to Jesus Christ and expression of Christian testimony; agreement to live in accordance with Community Lifestyle Statement and affirm the theological commitments expressed in the Statement of Faith.
Preferred Qualifications
  • Terminal degree in a relevant field.
Job Information
  • Primary work location: Newberg Campus.
  • Working conditions: Physical requirements are similar to teaching and office environments.
  • Supervisor: Associate Dean, George Fox Digital.
Equal Employment Opportunity Statement

The university is an equal‑opportunity employer. Every employee has the right to work in surroundings free from all forms of unlawful discrimination. It is our policy to make decisions about applicants and employees without regard to sex, age, race, color, marital status, national origin, disability, veteran status, or any other status to the extent prohibited by applicable local, state, or federal law. This prohibition applies not only to the recruiting and hiring process but to all facets of the employment relationship, including promotion, pay, training, classification, performance reviews, discipline, and termination.

George Fox is owned by the Northwest Yearly Meeting of Friends Church and its mission is distinctly Christian. Employees are required to agree with and abide by the university's faith statement and its statement of community responsibilities. Within the context of this agreement and commitment, employment opportunities are otherwise available to all persons on the basis of their experience and skills.

In the recruiting process, the university may make special effort to solicit applicants from underrepresented groups. This is done as an affirmative step to increase the representation of these populations in the university's workforce to better match their availability in the labor market. Hiring decisions are based on the applicants' qualifications as they relate to the needs of the position.

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