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Data Analyst Jobs in Oregon (NOW HIRING)

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and advocate for the finance teams data needs throughout the organization. You will collaborate with ...

NMI

OR

The Data Analyst, Revenue Operations is responsible for turning data from multiple source systems into the reporting, models, and visualizations that power revenue, sales, and operations decision ...

LMI

Overview LMI is seeking a skilled SAP Data Analyst to support Army logistics enterprise resource planning, data management, system analysis, and decision support through SAP-enabled business ...

LP Careers Page

OR

$86K - $107K/yr

... analyses, and connect data work to decisions that actually moved the business. YOUR ROLE Launch Potato is looking for a Lead BI Developer to own the reporting infrastructure that powers decision ...

Aptive

Job Summary Provides foundational data analysis, reporting, and documentation support for ORIS metrics, readiness tracking, and operational dashboards. Conducts requirements gathering and analysis ...

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Showing results 41-60

All JobsData Analyst JobsData Analyst Jobs in Oregon

Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Can I learn a data analyst in 3 months?

A data analyst role requires skills in data manipulation, statistics, and tools like Excel, SQL, and Python or R. While three months can provide a foundational understanding through intensive training or bootcamps, gaining proficiency typically takes longer with consistent practice and real-world experience.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are top 3 skills for a data analyst?

The top three skills for a data analyst are proficiency in data manipulation and analysis tools like Excel, SQL, and statistical software; strong analytical and problem-solving abilities; and effective communication skills to present insights clearly. Familiarity with data visualization tools such as Tableau or Power BI is also highly valuable. These skills enable data analysts to interpret complex data and support decision-making processes.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.
More about Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Oregon? The most popular types of Data Analyst jobs in Oregon are:
What are popular job titles related to Data Analyst jobs in Oregon? For Data Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Data Analyst jobs in Oregon look for? The top searched job categories for Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Data Analyst jobs? Cities in Oregon with the most Data Analyst job openings:
Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $87,374 per year, or $42 per hour.

Sr. Data Analyst - Finance

Consensus Cloud Solutions

OR • On-site, Remote

$120K - $130K/yr

Full-time

Re-posted 3 days ago

Job description

How you will impact the organization...

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and advocate for the finance teams data needs throughout the organization. You will collaborate with Data Engineering on data pipelines, identifying and solving complex data issues, contributing to the accuracy, completeness, consistency, and timeliness of data.

The value you will deliver...

  • Maintain Data Sets: Design, build, and maintain scalable data models from our data lake that power financial forecasting, budgeting, and ad-hoc analysis.
  • SQL Queries: Develop and optimize SQL queries for data retrieval, transformation, and analysis.
  • Dashboarding & BI: Develop, launch, and maintain automated, executive-ready BI dashboards (Tableau, PowerBI, or Looker).
  • Cross-Functional Collaboration: Partner closely with Sales Operations, Data Engineering, and Product teams to align disparate data sources (e.g., Salesforce, Stripe, Oracle) into a single source of truth for Finance.
  • Data Governance: Ensure the absolute integrity and accuracy of financial data used for board meetings, investor relations, and regulatory reporting.
  • Perform other duties and responsibilities as required, assigned, or requested. Consensus reserves the right to add or change duties at any time.

What you will bring to the table...

  • Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial analytics, ideally within a B2B SaaS environment.
  • SQL Mastery: Advanced SQL skills are non-negotiable. You can write complex, optimized queries, handle window functions, and manage large-scale data manipulation with ease.
  • Automation: Support automation and process improvements to increase efficiency, scalability, and self-service analytics within the organization.
  • Work Independently: Proven solid analytical and problem-solving skills, with the ability to independently investigate issues and deliver insights.
  • Analytics Engineering & BI: Experience with modern data stacks including cloud-based databases. Hands on experience with data warehousing tools (e.g., Snowflake, BigQuery, Redshift). Experience with data visualization and BI tools for creating intuitive dashboards (Tableau strongly preferred). Proven ability to build and manage data pipelines independently, from ingestion to reporting.
  • Communication: Proven excellent communication skills with the ability to explain complex data findings to both technical and non-technical stakeholders.

You will stand out if you also have...

  • Education: 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 advanced statistical analysis and predictive modeling is a strong plus.

Additional details... 

  • Location requirements: Fully remote within the U.S. 
  • Open to US-based remote candidates, with a preference for PST/MST/CST time zones. EST candidates will be considered if open to working PST hours.
  • Physical requirements: Must be able to sit for long periods, as well as, handle long periods of screen time.
  • Technology requirements: Reliable, high speed internet
  • Eligible for sponsorship: No
  • This position is contingent upon satisfactory completion of a more extensive background check through the Federal Government as a Public Trust Position. Requirements include (subject to change), but are not limited to, active U.S. Citizenship or green card holder residing in the U.S. for a minimum of 3 consecutive years and working location is in the U.S.

Salaried Roles
The salary range for this role is $120,000-$130,000 annually.  The total compensation package for this position is negotiable and may also include annual performance bonus, ESPP, enhanced time off packages and benefits. This job doesn't have an expiration date and will remain open until a qualified candidate is hired. 

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