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

... Business Analytics projects. • Perform logical data modeling and physical data modeling. • ... an applicable Associates degree, 8 years of experience is required. • Without an applicable ...

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 ...

... 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 31, 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 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $80,055 per year, or $38.5 per hour.

Data Analyst 3

First Tek, Inc.

Vancouver, WA • On-site

Full-time

Re-posted 18 days ago


Job description

Job Summary:
First Tek, Inc. is seeking a Data Analyst 3 to provide data analysis for quality assurance testing and support settlements calculations. The role involves documenting data flow diagrams, developing databases for power market analyses, and collaborating with various BPA organizational partners.
Responsibilities:
• Provide data analysis for quality assurance testing efforts related to BPA Settlements data.
• Provide data analysis to support settlements daily, weekly and monthly calculations.
• Document data flow diagrams, entity relationship diagrams and other project deliverables.
• Provide PL/SQL databases (queries, functions, stored procedures)
• Produce excel macros using VBA coding
• Coordinate with TSRE, TORI, PTMA, and other BPA organizational partners including BPA consultants.
• Develop and maintain an understanding of higher-level activities of wholesale electric transmission customers in the western states as context for the goals of market, consumer, and business analysis.
• Develop a working familiarity with essential databases that support Transmission product analyses including OASIS reservations system, scheduling and other transmission operations data, generation sources, curtailments data, generation interconnection information, customer oriented data, etc.
• With appropriate data analytic modeling, develop databases that enable analyses of power markets and BPA's Transmission products and services.
• Translate data quality and architecture issues to both technical and non-technical teams.
• Work with business partners to understand business needs, design data models and develop specifications for analytical reports and data visualizations.
• Develop and design functional and technical requirements for Business Analytics projects.
• Perform logical data modeling and physical data modeling.
• Conduct data modeling sessions with business users and technical staff, which include conveying complex ideas both verbally and in written form.
Qualifications:
Required:
• A degree in Information Technology, Business Systems, Computer Technology or a closely-related technical field such as Data Analytics is preferred.
• With an applicable Bachelor's degree, 6 yrs of experience is required.
• With an applicable Associates degree, 8 years of experience is required.
• Without an applicable degree, 10 years of experience is required.
• Experience must include direct work experience in Information Technology performing Data Analysis.
• 5 years of application of skills to analyses of markets, business analyses, and consumer products and services analyses Knowledge of Data Warehousing techniques, terminology, implementation and ETL (Extract, Transform & Load).
• 5+ years of statistical analysis or data analysis experience.
• 2+ years of data analytics applied to analyses of markets, business to business products and services, and consumer products and services.
• Demonstrated experience designing physical and logical data models.
• Prefer experience using the Erwin Data Modeling tool.
• Experience using enterprise data modeling tools.
• Experience should include relational and dimensional modeling.
• Experience with identification and evaluation of data quality issues.
• Valid U.S. Driver's License is required.
Preferred:
• Experience with Market Analysis or Product Management teams, especially those dealing with evolving customer and business needs.
• Ability to conduct data modeling sessions with business users and technical staff, which includes conveying complex ideas both verbally and in written form.
• Ability to understand database management system administration with regard to performance, configuration, and de-normalization.
Company:
To succeed in the complex world of technology, you need exceptional connections – to the right experts, the right opportunities and the right answers. Founded in 2001, the company is headquartered in Piscataway, USA, with a team of 1001-5000 employees. The company is currently Late Stage.