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Senior Data Analyst Jobs in Oregon (NOW HIRING)

Senior Data Architect

Odell, OR · On-site

$69 - $92.25/hr

D&A - Data & Analytics Work Shift: Day Work Days: MON-FRI Scheduled Hours: 9 AM-5:30 PM Scheduled ... The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... Strong business-facing skills with confidence to engage senior stakeholders and translate business ...

Sr. Data Analytics Engineer

OR · On-site +1

$125K - $165K/yr

  • Medical

  • Retirement

As a Senior Data Engineer, you will design and implement data analytics pipelines, develop high-quality data models, and enable automation that supports advanced analytics and AI use cases. You will ...

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 ...

Senior Risk Data Analyst

  • Medical

  • Retirement

  • PTO

Senior Risk Data Analyst Overview The Senior Risk Data Analyst is responsible for delivering data-driven insights that strengthen risk management, compliance oversight, and operational performance.

Senior Data Architect

Beaverton, OR

$70 - $93.75/hr

Senior Data Architect The Company Wizeline is a global digital services company helping mid-size to ... Analyze existing data stores and interfaces to support current state and future data models * Work ...

Data Analyst Job Details Demonstrate analytical and debugging skills. Should be able to examine data patterns to identify performance issues and improvement opportunities. Must be meticulous and ...

Lead Data Analyst

OR · Remote

$160K - $200K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

About the Role The Lead Data Analyst is the senior individual contributor on our Data Analytics team - a Level IV role on our analytics ladder, with no direct reports. You lead through expertise ...

Data Analyst Job Details The successful candidate for this position will provide operational reporting and analysis in support of the B2B marketing strategy for digital content. Coordinating efforts ...

Data Analyst Location : Salem Oregon duration : 6+months : * Analyze ODOT Asset Management systems and databases and document the current state this would include SQL, Oracle, Access, GIS, etc.

OR

  • Retirement

  • PTO

An analyst here can own a data product end-to-end - from methodology to client delivery - and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work.

OR · On-site

  • Retirement

  • PTO

An analyst here can own a data product end-to-end - from methodology to client delivery - and present directly to the investors who depend on it. You won't spend months waiting for "meaningful work.

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Showing results 21-40

Senior Data Analyst information

See Oregon salary details

$58.2K

$104.9K

$143.3K

How much do senior data analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for senior data analyst in Oregon is $104,915.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,900.00 and $114,700.00 per year, depending on experience, location, and employer.

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.
More about Senior 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 job categories do people searching Senior Data Analyst jobs in Oregon look for? The top searched job categories for Senior Data Analyst jobs in Oregon are:
What cities in Oregon are hiring for Senior Data Analyst jobs? Cities in Oregon with the most Senior Data Analyst job openings:
Infographic showing various Senior Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $104,915 per year, or $50.4 per hour.

Senior Data Architect

Montefiore

Odell, OR • On-site

$69 - $92.25/hr

Full-time

Re-posted 4 days ago


Job description

City/State:

Yonkers, New York

Grant Funded:

No

Department:

D&A - Data & Analytics

Work Shift:

Day

Work Days:

MON-FRI

Scheduled Hours:

9 AM-5:30 PM

Scheduled Daily Hours:

7.5 HOURS

Pay Range:

$160,000.00-$200,000.00

Montefiore is ranked among the top hospitals nationally and regionally by U.S. News & World Report. For more than 100 years we have been innovating new treatments, procedures, and approaches to patient care, producing stellar outcomes and raising the bar for academic medical centers in the region and around the world. Our work to improve health outcomes in underserved communities is unparalleled in the United States. Our workforce is among the most diverse in the US: Montefiore associates speak 60+ languages.

As Montefiore has built paths to deliver lifesaving health outcomes to underserved communities, we are looking to the future of being a data driven organization and tech-enabled care delivery to create better experiences for patients, providers, and operations teams. Montefiore is actively investing in its data & analytics driven solutions as a new system-level priority, and we are seeking data experts who are excited to create a tangible impact with the healthcare system.

The hands-on Senior Data and AI Architect within the Data & Analytics vertical will play a pivotal role at the forefront of our data and analytics technology transformation initiatives. This role will be responsible for designing and architecting Montefiore's AI-ready data Lakehouse, defining modern data architecture patterns, establishing enterprise-wide data strategy, governance, and integration standards to support business cases across the health system. This role will work with designing and architecting complex data solutions in a fast-paced, rapidly evolving landscape answering critical business and clinical questions.

This role is also critical to scaling our data and insights capabilities, empowering teams with actionable insights, and supporting our mission to improve Patient healthcare.

Responsibilities include:

Modern Data Strategy & Roadmap

Define and drive the vision, Montefiore data strategy, and roadmap for the enterprise data architecture, aligning with Montefiore business objectives.

Data Architecture Leadership: Establish robust data governance, data management, enterprise data models across domains, data integration patterns, data quality, data privacy ensuring data consistency, accuracy, and integrity across all systems and departments.

Create multi-year architecture and modernization roadmaps.

Evaluate and recommend technologies, tools, and platforms for data engineering, analytics, and AI enablement.

Provide thought leadership on emerging data and AI trends.

Enterprise Data & AI Architecture

Design and implement an AI-ready data Lakehouse architecture supporting structured, semi-structured, and unstructured data.

Define modern data architecture patterns (e.g., medallion architecture, data mesh, data fabric, domain-driven data design).

Establish scalable, cloud-native data platforms optimized for advanced analytics, ML, and generative AI workloads.

Develop reference architectures, technical standards, and best practices for enterprise adoption.

This hands-on role will build and deliver highly performant and scalable data products across clinical, operational and other functional areas enabling data driven decision making across the health system.

Provide thought leadership & strategic thinking to design and enablement of Montefiore's next generation data eco-system.

Lead our enterprise data initiatives to ensure single, accurate, and consistent view of metrics across data domains, including standard definitions for our clinical, operational and administrative needs.

AI Enablement & Advanced Analytics

Architect data platforms that support ML lifecycle management, feature stores, model training, and inference.

Enable data pipelines optimized for real-time, batch, and streaming workloads.

Ensure data readiness for LLMs, generative AI, and advanced AI use cases.

Collaborate with Data Scientists and ML Engineers to operationalize AI models at scale.

Help ensure security, privacy and compliance for all data assets.

Collaborate with data product managers, business and analytic stakeholders to translate business needs to practical and scalable data solutions

Collaborate with data engineers, product managers, data scientists, BI developers and application teams, to understand data requirements and translate them into technical solutions

Serve as a trusted advisor to senior leadership on data and AI architecture decisions.

Mentor and guide data engineers, architects, and analytics teams.

Lead architecture reviews and ensure alignment with enterprise IT strategy.

Drive cross-functional collaboration across business and technology teams.

Qualifications include:

12+ years of experience in modern Data Architecture, Data Modeling, Data Acquisition, Data Integration, Data Lake or Data Lakehouse, Data Warehousing, Data Products, Data Governance and Data Standardization

Deep expertise in translating complex clinical, operational and administrative datasets into enterprise-grade data products, data modeling techniques and performance analysis & tuning.

Experience with initiatives that enable scalable and efficient data architectures that can handle large volumes and varieties of data, including data warehousing and data lakes

Minimum 4+ years of strong experience in Snowflake, SQL, Oracle and SQL Server

Experience with cloud-based ELT Toolsets like Matillion, dbt cloud and Python

Familiarity with ML/AI platforms, MLOps frameworks, and feature engineering pipelines.

Experience with cloud providers preferably AWS

Understanding of data security protocols, encryption standards, data privacy and protection regulations, and best practices in access management

Knowledge in healthcare preferably in a health system domain Experience with EPIC Cogito Analytics stack (Clarity, Caboodle etc.)

Bachelor's or master's degree in computer science, Engineering or similar

Competencies include:

Ability to think strategically and drive structured execution

Structured, linear thinker that can conduct business outcome diagnostics and identify highest value business opportunities

Strong facilitation skills to help business leaders identify their most important business questions

Exhibits excellent judgment, especially when working with ambiguity. Sets stretch goals and works to exceed goals with a focus for results.

Has the innate ability to gain the confidence of and build strong relationships with executives, peers, management and subordinates alike.

Excellent business-facing presentation skills.

#SF-DICE-MIT

#LI-SC

Montefiore Health System, Inc. is an equal employment opportunity employer. Montefiore Health System, Inc. will recruit, hire, train, transfer, promote, layoff and discharge associates in all job classifications without regard to their race, color, religion, creed, national origin, alienage or citizenship status, age, gender, actual or presumed disability, history of disability, sexual orientation, gender identity, gender expression, genetic predisposition or carrier status, pregnancy, military status, marital status, or partnership status, or any other characteristic protected by law.