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Associate Degree In Data Analytics Jobs in Oregon

Qualifications Bachelor's degree in Data Analytics, Computer Science, Statistics, Finance, Mathematics, or a related quantitative field. 2-3+ years of experience in data analytics, business ...

... Bachelor's degree in Data Analytics, Supply Chain, Engineering, or related field - 3-5 years of experience in data analysis, preferably in logistics, fleet, or industrial operations - Strong ...

... degree in Data Science, Statistics, Computer Science, Economics, or a related field is typically ... You need proven experience in data analysis, including compiling reports, conducting audits, and ...

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

Bachelor's degree in Data Analytics, Finance, Economics, Statistics, Information Systems, or a related field, or equivalent practical experience * Technical Extras: Proficiency in Python or R for ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Degree - At least 5 years of experience What Sets You Apart - AWS Certified Data Analytics ...

Associates in this role typically have a high degree of autonomy in managing their team and ... Advanced certifications in data analytics, data management, or project management (e.g., Certified ...

Associates in this role typically have a high degree of autonomy in managing their team and ... Advanced certifications in data analytics, data management, or project management (e.g., Certified ...

Data Scientist

OR · On-site +1

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) ...

Data Scientist

OR · On-site

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) ...

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field; advanced degree preferred. * 5+ years of experience in analytics, data science, or related data insights roles.

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

At least ten years of relevant data, analytics, and BI engineering experience * BS degree in related field or equivalent work experience Preferred Qualifications * Experience with Azure environment

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

At least ten years of relevant data, analytics, and BI engineering experience * BS degree in related field or equivalent work experience Preferred Qualifications * Experience with Azure environment

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) ...

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Associate Degree In Data Analytics information

See Oregon salary details

$3.4K

$6.7K

$9.5K

How much do associate degree in data analytics jobs pay per month?

As of Aug 30, 2026, the average monthly pay for associate degree in data analytics in Oregon is $6,651.00, according to ZipRecruiter salary data. Most workers in this role earn between $6,033.33 and $7,091.67 per month, depending on experience, location, and employer.

What is an associate degree in data analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

What types of entry-level positions can someone with an associate degree in data analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What are popular job titles related to Associate Degree In Data Analytics jobs in Oregon?

For Associate Degree In Data Analytics jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Associate Degree In Data Analytics jobs in Oregon look for?

The top searched job categories for Associate Degree In Data Analytics jobs in Oregon are:

What cities in Oregon are hiring for Associate Degree In Data Analytics jobs?

Cities in Oregon with the most Associate Degree In Data Analytics job openings:

Infographic showing various Associate Degree In Data Analytics job openings in Oregon as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $79,812 per year, or $38.4 per hour.

Full-time

Posted 19 days ago


Job description

Job Description Our client, a rapidly growing wealth management and financial services firm, is seeking a Senior Data Analyst to develop and deliver data analytics and reporting solutions that support strategic business decisions across the organization. This role will partner closely with business stakeholders to transform complex data into meaningful insights, build scalable reporting solutions, and ensure the accuracy and integrity of enterprise data. The ideal candidate combines strong technical expertise with exceptional analytical and communication skills.

Key Responsibilities Design, develop, and maintain dashboards, reports, and analytical solutions that support business performance and decision-making. Build scalable data models and reporting products that deliver actionable insights for key stakeholders. Implement data validation and quality assurance processes to ensure the accuracy, consistency, and reliability of reporting.

Perform ad hoc analysis to answer business questions and identify trends, opportunities, and operational improvements. Translate business requirements into clear data specifications and reporting solutions. Document data sources, business logic, transformations, and reporting methodologies to support long-term scalability and governance.

Serve as a subject matter expert for enterprise analytics and reporting while partnering with cross-functional teams on data initiatives. Qualifications Bachelor's degree in Data Analytics, Computer Science, Statistics, Finance, Mathematics, or a related quantitative field. 2-3+ years of experience in data analytics, business intelligence, or data science.

Experience within financial services, consulting, or high-growth technology organizations is preferred. Strong analytical, problem-solving, and critical thinking abilities. Excellent written and verbal communication skills.

Ability to manage multiple priorities while working independently and collaboratively in a fast-paced environment. Technical Skills Advanced SQL proficiency. Experience with DBT and Tableau.

Strong understanding of data modeling and data quality frameworks. Advanced Microsoft Excel skills, including financial and analytical modeling, preferred. Strong documentation and data governance practices.

Compensation & Schedule Full-time Hybrid schedule (4 days onsite) Location: Austin, TX or Miami, FL Competitive compensation commensurate with experience Interview process includes two virtual interviews followed by a final onsite interview.