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Data Systems Analyst Jobs in Oregon (NOW HIRING)

OR

$136K - $228K/yr

... systems ... You will work closely with engineering, platform, and analytics teams to strengthen data governance ...

We're hiring two Senior Business Systems Analysts to join our GTM Systems team and help us do ... Support platform health: data integrity, security, integrations and the day-to-day responsiveness ...

... SOA, BPM, Data Warehousing, SharePoint Consulting and IT Infrastructure. Our other offerings ... Facets systems analyst Interview: 1 phone and 1 Skype Location: remote Duration: 12+ month contract ...

Hands-on experience with applied AI/ML systems, analytics platforms, or data science collaboration. * Familiarity with cybersecurity considerations in industrial and cloud-connected environments.

$48K - $63K/yr

This role ensures process standardization, data integrity, and the optimization of cost book-to ... The Billing Process Systems Analyst must also be familiar with project costing, billing, and ...

Manages the analyses of Inventory Management process issues impacting their assigned areas and ... Supply systems and automated data processing methods and techniques combined with a comprehensive ...

Manages the analyses of Inventory Management process issues impacting their assigned areas and ... Supply systems and automated data processing methods and techniques combined with a comprehensive ...

Showing results 41-60

Data Systems Analyst information

See Oregon salary details

$46.5K

$93.7K

$158.1K

How much do data systems analyst jobs pay per year?

As of Aug 6, 2026, the average yearly pay for data systems analyst in Oregon is $93,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,300.00 and $116,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data systems analyst?

To thrive as a Data Systems Analyst, you need strong analytical abilities, data management expertise, and a relevant degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL Server, Oracle), data visualization tools (e.g., Tableau, Power BI), and sometimes certifications like Certified Data Management Professional (CDMP) are valuable. Excellent problem-solving, attention to detail, and effective communication are key soft skills for translating business requirements into technical solutions. These skills ensure accurate data analysis, system optimization, and successful collaboration between IT and business stakeholders.

What is the difference between Data Systems Analyst vs Data Analyst?

AspectData Systems AnalystData Analyst
Primary FocusDesigning, implementing, and maintaining data systems and infrastructureAnalyzing data to identify trends and generate reports
Skills & CertificationsDatabase management, SQL, systems analysis, certifications like CBIP or Microsoft CertifiedData visualization, statistical analysis, Excel, certifications like Microsoft Data Analyst Associate
Work EnvironmentIT departments, technical teams, system development projectsBusiness units, marketing, finance, research teams

While both roles work with data, Data Systems Analysts focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to support decision-making. Understanding these differences helps in choosing the right career path or job role.

What are the most common challenges data systems analysts face when integrating new data sources?

Data Systems Analysts often encounter challenges such as data incompatibility, inconsistent formats, and incomplete documentation when integrating new data sources. Addressing these issues typically requires close collaboration with data engineers and source system owners to ensure proper data mapping and validation. Additionally, analysts must be vigilant about data security and compliance requirements during integration. Developing robust ETL (extract, transform, load) processes and thorough testing are essential for successful integration and ongoing reliability.

What is a data systems analyst?

A Data Systems Analyst is a professional who designs, implements, and maintains data systems to help organizations collect, process, and analyze information efficiently. They work closely with both technical and business teams to ensure that data systems meet organizational needs and support decision-making. Their responsibilities often include analyzing data flows, optimizing database performance, and troubleshooting issues. Data Systems Analysts also help ensure data integrity, security, and compliance with regulations.
What job categories do people searching Data Systems Analyst jobs in Oregon look for? The top searched job categories for Data Systems Analyst jobs in Oregon are:
What cities in Oregon are hiring for Data Systems Analyst jobs? Cities in Oregon with the most Data Systems Analyst job openings:
What are popular job titles related to Data Systems Analyst jobs in OR? For Data Systems Analyst jobs in OR, the most frequently searched job titles are:
Infographic showing various Data Systems Analyst job openings in Oregon as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, 5% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $93,690 per year, or $45 per hour.

Staff Data Eng, Data Systems, TCGplayer

TCGplayer, Inc.

OR

$136K - $228K/yr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


Job description

At eBay, we're more than a global ecommerce leader - we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.

Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work - every day. We're in this together, sustaining the future of our customers, our company, and our planet.

Join a team of passionate thinkers, innovators, and dreamers - and help us connect people and build communities to create economic opportunity for all.

About the team and the role:

TCGplayer, an eBay company, powers a marketplace for buyers, sellers, hobby shops, and collectors across the trading card community. For many people, TCGplayer is more than a marketplace. It is part of how they discover, enjoy, and stay connected to the hobby they love! The Data Engineering team helps make that experience possible by building the systems, standards, and partnerships that make data easier to trust, easier to work with, and easier to scale across TCGplayer Technology.

As a Staff Data Engineer, you will join our Data Engineering team and server as a technical leader, helping shape technical direction across warehouse and application-facing systems. You will work closely with engineering, platform, and analytics teams to strengthen data governance, improve confidence in data-related changes across distributed environments, and guide sound decisions around datastores, data movement, and system design. This is a highly collaborative Staff Data Engineer role with broad influence across TCGplayer, with the opportunity to raise engineering standards, support long-term platform health, and help teams build with greater clarity and confidence.

What you will accomplish:
  • Serve as a technical leader in data systems, setting direction and raising the bar for engineers through architecture guidance, standards, and hands-on partnership across TCGplayer Technology.

  • Strengthen Snowflake governance, access controls, security, observability, and cost management so warehouse workloads are more reliable, efficient, and easier to scale.

  • Improve how teams validate and test data-related changes across distributed environments, increasing release confidence in systems that span warehouse, services, and application-facing platforms.

  • Guide datastore and architecture decisions across operational and warehouse systems, helping teams make strong tradeoff decisions based on reliability, scale, maintainability, and product needs.

  • Lead cross-application datastore initiatives, including migrations and platform upgrades, with emphasis on security, governance, and alignment with architecture standards.

  • Partner with application and platform teams to bring greater clarity to data ownership, service boundaries, and data movement across transactional products, microservices, and event-driven systems.

  • Enable teams to move faster by providing guidance on Postgres design, performance, and datastore decisions, increasing consistency and engineering leverage across the organization.

What you will bring:
  • 10+ years of experience designing, improving, or supporting production platforms across data warehousing, operational datastores, distributed systems, or data architecture.

  • Hands-on experience with Snowflake in production environments, including governance, access controls, security, observability, performance, reliability, and cost management.

  • Strong experience with relational databases, ideally Postgres, including schema design, indexing, query optimization, transactions, scaling, and production troubleshooting.

  • Experience guiding datastore and architecture decisions across technologies such as Postgres, MongoDB, Redis, Snowflake, and similar platforms.

  • Experience with microservices and event-driven systems (Kafka and Debezium preferred), including retries, idempotency, ordering, and change data capture.

  • Strong communication and technical judgment, with a track record of influencing across teams and improving reliability, testing, governance, observability, or engineering practices in complex environments.

Additional Details

The base pay range for this position is expected in the range below:

$136,000 - $228,600

Base pay offered may vary depending on multiple individualized factors, including location, skills, and experience. The total compensation package for this position may also include other elements, including a target bonus and restricted stock units (as applicable) in addition to a full range of medical, financial, and/or other benefits (including 401(k) eligibility and various paid time off benefits, such as PTO and parental leave). Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

If hired, employees will be in an "at-will position" and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors.

Remote roles are not eligible for U.S. visa sponsorship.

eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status.If you have a need that requires accommodation, please contact us attalent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

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