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Data Analytics Jobs in Oregon (NOW HIRING)

Requisition ID2026-4480Job Summary We are seeking a skilled Data Management and Analytics Support Specialist to support the VHA Specialty Care Program Office in delivering data-driven programmatic ...

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

Senior Data Analyst

OR ยท Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

OR

$130K - $155K/yr

What We Need We are looking for a Senior Data Analyst to join our Revenue Strategy, Data ... Intentionally leverage AI to automate analytics, surface insights, and streamline GTM workflows ...

About Us YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights ...

About the Position The Director, Data Analytics & Business Intelligence is a hands-on leader who owns the enterprise analytics and reporting function at FiscalNote. This is a player/coach role: you ...

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

About Us YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights ...

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Data Analytics information

See Oregon salary details

$25

$57

$99

How much do data analytics jobs pay per hour?

As of Jul 12, 2026, the average hourly pay for data analytics in Oregon is $57.88, according to ZipRecruiter salary data. Most workers in this role earn between $46.49 and $65.58 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are the most commonly searched types of Data Analytics jobs in Oregon? The most popular types of Data Analytics jobs in Oregon are:
What cities in Oregon are hiring for Data Analytics jobs? Cities in Oregon with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $120,397 per year, or $57.9 per hour.
SAP Business Analyst with Data Analytics strength

SAP Business Analyst with Data Analytics strength

Avani Technology Solutions, Inc.

Portland, OR โ€ข On-site

Full-time

Re-posted 21 days ago


Job description

Job Title: SAP Business Analyst with Data Analytics strength
Duration: 12 Months
Location: Portland, OR
Requried Skills
FICO, SAP BW skills with strong ability to trace data through multiple systems.
Job Decsription
  • Document and undertand financial datat data flowing thorugh SAP from OD meets finance needs.
  • Design OD to SAP reconciliation processes and reports to reconcile data with financial impact between OD and SAP (specifically sales, inventory reconciliation from a financial perspective).
  • Provide requirements and specifications to the BW and Azure Data Lake teams to ensure reporting needs are met.

Thanks
Arjun
arjun.d@avanitechsolutions.com
585-532-7200 Ext 9052