1

Data Analytics Jobs in Oregon (NOW HIRING)

Lead Data Analyst

OR · On-site +1

$160K - $200K/yr

Data Analytics sits under Revenue Operations, but we're a central function that supports the entire organization - clinical operations, supplier performance, payor and network data, product, finance ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Strong background in distributed high-performance data analytics including SQL or vector databases. Expertise in modern data center network and storage technologies. NVIDIA is widely considered to be ...

Not just through analytics, but by helping shape the future of our mobile equipment strategy across the network. About the Role You will be part of a cost-focused team that leverages data to drive ...

Senior Claims Data Analyst

Salem, OR · On-site

$86K - $109K/yr

Engage with business partners to support data collection, reporting, and analytics by addressing report issues, developing system and business processes, determining customer reporting needs ...

Senior Claims Data Analyst

Salem, OR · On-site +1

$86K - $109K/yr

Engage with business partners to support data collection, reporting, and analytics by addressing report issues, developing system and business processes, determining customer reporting needs ...

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large‑scale projects, and ...

Data Analyst Job Details Activities could include but is not limited to the following: Analysis of data to find patterns, Development of applications for data gathering and analysis, Developing ...

BMPS Data Analyst

Grants Pass, OR · On-site

$37 - $40/hr

Education Bachelor's degree in Health Informatics, Data Analytics, Computer Science, Information Systems, Public Health, Healthcare Administration, Statistics, Mathematics, Business Analytics, or a ...

Final presentation to business leaders Summary We are seeking a motivated Summer Intern to support data, analytics, and AI initiatives within the Sales organization. The intern will work with a ...

Final presentation to business leaders Summary We are seeking a motivated Summer Intern to support data, analytics, and AI initiatives within the Sales organization. The intern will work with a ...

Showing results 41-60

Data Analytics information

See Oregon salary details

$25

$57

$99

How much do data analytics jobs pay per hour?

As of Sep 13, 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.

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.

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 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 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.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

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 August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,397 per year, or $57.9 per hour.

Director, Data Analytics & Business Intelligence

OR • On-site, Remote

FiscalNote
Software Development • 501 - 1,000 employees

Full-time

Re-posted 4 days ago


Key responsibilities

  • Build and maintain core dbt models used in reporting across finance, product, sales, and customer success.

  • Own and evolve the enterprise analytics and reporting infrastructure, serving as the authoritative source of business performance data.

  • Proactively identify analytical gaps and develop reporting solutions to surface insights and support decision-making.


Job description

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 will personally build the models, pipelines, and dashboards that power decision-making across the company while also guiding a small, high-impact team. You work closely with our SLT and with product, engineering, sales, finance, and customer success to identify KPIs, surface insights before they're asked for, and deliver actionable analytics that improve operational efficiency, customer experience, and financial performance. The right person doesn't wait for direction - they see the gaps, understand the stakes, and build the solution.

About the Team

The Business Intelligence team sits at the intersection of data, technology, and strategy at FiscalNote. We build and maintain the systems, models, and reporting infrastructure that enable the entire business to operate with clarity and confidence. Our work connects every function - from sales to finance to customer success - ensuring that the right data reaches the right people at the right time to drive informed decisions. Our core mission is to understand the business and impact decision-making across all departments through the use of data.

About You

You are a builder first. You don't need a requirements doc to know what the business needs - you've already spotted the gap, formed a hypothesis, and started sketching the model. You're equally comfortable writing complex SQL in Snowflake, building a dbt model from scratch, and presenting a board-level dashboard to the CFO. You've spent years working with Salesforce data and know its quirks, relationships, and edge cases well enough to build reliable models without hand-holding. You lead with craft and credibility: your team trusts you because you can do the work yourself, and your stakeholders trust you because you consistently deliver insights that actually change decisions. You're energized by ambiguity, allergic to stale data, and relentless about getting things right.

#LI-HR1
What To Expect In This Position
  •  Personally build and maintain core dbt models used in reporting across finance, product, sales, and customer success - this is a hands-on, individual contributor expectation, not a delegated one
  • Own and evolve FiscalNote's enterprise analytics and reporting infrastructure, serving as the authoritative source of truth for business performance data
  •  Proactively identify analytical gaps and build reporting solutions before stakeholders know to ask - surface insights, don't just respond to requests
  •  Provide functional and technical leadership across core BI platforms including Snowflake, Databricks, dbt, Fivetran, Segment, Heap, Metabase, and Stitch
  • Act as direct technical admin and functional lead for Metabase and Heap
  • Build and maintain reporting infrastructure in Metabase, ensuring dashboards are accurate, performant, and accessible to stakeholders
  •  Define and maintain a self-serve analytics framework that empowers business teams to answer their own questions with confidence
  • Prepare and deliver board- and investor-level data models and reporting for senior leadership (CFO, CEO, CRO)
  • Support M&A due diligence for acquisitions and divestitures; lead data separation and migration efforts related to transactions
  • Manage audit-related activities for in-scope data systems, including controls, documentation, and compliance
  •  Drive data governance and quality standards across all owned platforms
  • Collaborate cross-functionally with sales, marketing, finance, operations, product, and engineering on data and analytics initiatives
  • Coach and mentor junior analysts outside of direct reporting line
  • Drive AI/ML initiatives and automation efforts to improve analytical efficiency and scalability
  • Develop training programs to increase self-serve analytics adoption and proficiency across the business
  • Manage system performance, scalability, security, and compliance across all owned platforms
What Sets You Apart
  •  8+ years of experience in data analytics, business intelligence, or a related field, with at least 3 years in a senior or lead role
  • Demonstrated player/coach orientation - you are as productive as an individual contributor as you are as a team lead, and you take pride in both
  • Advanced SQL skills with deep, hands-on experience querying and optimizing in Snowflake; you write complex, production-grade SQL without assistance
  • Extensive experience building data models from Salesforce data, including a strong understanding of Salesforce's object structure, relationships, and common data quality challenges
  • Hands-on experience building and maintaining dbt models in a production environment
  • Proficiency with modern data stack tooling including Snowflake, Databricks, Fivetran, and Segment
  • Experience building and managing reporting in Metabase or comparable BI platforms; familiarity with ThoughtSpot or Sigma is a strong plus
  • Exposure to and working knowledge of NetSuite, Coupa, Zendesk, and Gong data structures and integrations (preferred)
  • Track record of delivering executive-level analytics and reporting to C-suite stakeholders
  • Proven ability to work with minimal direction - you identify what needs to be built, prioritize independently, and deliver without waiting to be asked
  • Strong data governance mindset with experience establishing quality standards and documentation practices
  • Experience managing and scaling small, high-impact technical teams
  • Strong cross-functional leadership skills with the ability to influence without direct authority
  • Experience supporting M&A due diligence or system migrations in a corporate transaction context (preferred)
  • Experience with SOX or similar audit and compliance frameworks for data systems (preferred)
  • Experience driving AI/ML or intelligent automation initiatives within a business analytics context (preferred)
  • Background in SaaS or technology companies with complex, multi-system data environments
Excited about this role, but don't meet 100% of the expected qualifications listed above? We'd still love for you to apply! 
When applying to FiscalNote, rest assured that your application is reviewed by a living, breathing human being and evaluated based on key competencies needed for success in the position. Our Recruiting team maintains awareness of all open roles which means your application may be assessed against multiple positions and we will reach out to gauge your interest in other opportunities as appropriate. Questions or concerns? Contact recruiting.team@fiscalnote.com, we'd be happy to connect!
 
As part of FiscalNote's commitment to creating an accessible and inclusive hiring process, we strive to provide reasonable accommodations for persons with medical conditions or disabilities that will enable their access to the hiring process. If you need an accommodation, please send an email to recruiting.team@fiscalnote.com to let us know the nature of your request.
 
About FiscalNote 
FiscalNote is a leader in policy and global intelligence. By uniquely combining data, technology, and insights, FiscalNote empowers customers with critical insights and the tools to turn them into action.
 
Home to CQ, FrontierView, VoterVoice, and many other industry-leading brands, FiscalNote helps organizations stay ahead of political and business risk.
 
At FiscalNote, We Lead with Values
Know your Audience Find the Truth Drive Alignment Level Up Own the Job Bias for Action Support the Family 
 
Company Benefits
FiscalNote supports our people by enabling team members with flexibility and benefits to promote well-being and balance, ensuring all FiscalNoters can bring their authentic selves to work. We start by offering competitive salaries, retirement accounts, and equity packages to ensure we're all FN owners. Plus, our comprehensive benefits packages align with regional requirements and expectations no matter where you are located across the globe. Learn more at https://careers.fiscalnote.com/benefits/.
 
FiscalNote values diversity. We are committed to equal opportunities and creating an inclusive environment for all our employees. We welcome applicants regardless of ethnic origin, national origin, gender, race, religious beliefs, disability, sexual orientation or age. FiscalNote is an EEOC employer.
 
FiscalNote uses E-Verify to confirm the employment eligibility of all new employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.DHS.gov/E-Verify.
apply for this job