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Data Analyst Computer Science Jobs in Oregon (NOW HIRING)

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... We do this by combining our deep customer insights, world-class engineering, materials science ...

You have 3-5+ years of experience in data analytics , with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment ...

OR ยท On-site

You have 3-5+ years of experience in data analytics , with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment ...

Bachelor's Degree or equivalent experience in a Computer Science, Data Analysis or business-related field. * Corporate Data Analyst: 1+ years' experience working with and providing data analytics ...

Data Analyst Location - Ft Worth, TX Work Arrangement - Hybrid What we do at Weir We are a global ... We do this by combining our deep customer insights, world-class engineering, materials science ...

Skilled at breaking down algorithm analysis, data structure implementation, and systems-level ... Familiar with college computer science curricula and common challenges such as understanding ...

College Computer Science Tutor

OR ยท Remote

$18 - $40/hr

Skilled at breaking down algorithm analysis, data structure implementation, and systems-level ... Familiar with college computer science curricula and common challenges such as understanding ...

Bachelor's degree in data science, statistics, computer science, healthcare informatics, mathematics, public health, or a related field. * 8+ years of experience supporting data analytics, reporting ...

OR ยท On-site

$65K - $81K/yr

Bachelor's or master's degree in mathematics, Statistics, Engineering healthcare, Management Information Systems, Computer Science, or a related field * 3+ years of Data Analysis * 2+ Years of Data ...

Qualifications Required Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field. 5+ years of experience in data analytics, risk analytics, business ...

Information science * Signal processing * Data mining * Data warehousing * Performance computing * Big Data * Data extraction and visualization * Business process analysis: process and workflow ...

OR ยท On-site

$20 - $25/hr

Appropriate state Department of Education CTE Computer Science/Business Teaching Certification ... Student success will be measured by valid and reliable assessment data, parent and student ...

High School Computer Science Tutor

OR ยท Remote

$18 - $40/hr

Deep knowledge of computational thinking, programming fundamentals in Python or Java, data types ... Familiar with high school computer science standards including CSTA frameworks and common ...

Data Scientist

OR ยท On-site +1

... analytic workflows through the Quarterly Cost & Resource Utilization Report. Qualifications * Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven (7) ...

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Data Analyst Computer Science information

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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What job categories do people searching Data Analyst Computer Science jobs in Oregon look for? The top searched job categories for Data Analyst Computer Science jobs in Oregon are:
What cities in Oregon are hiring for Data Analyst Computer Science jobs? Cities in Oregon with the most Data Analyst Computer Science job openings:
Infographic showing various Data Analyst Computer Science job openings in Oregon as of July 2026, with employment types broken down into 1% Internship, 86% Full Time, 7% Part Time, 1% Temporary, 4% Contract, and 1% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

Data Analyst

Weir Group

Portland, OR โ€ข On-site

Full-time

Re-posted 16 days ago


Job description

Data Analyst

Location- Ft Worth, TX
Work Arrangement- Hybrid

What we do at Weir
We are a global leader in mining technology for a sustainable future. We help our customers extract the resources the world needs more efficiently and more sustainably. Our planet's future depends on the transition to renewable energy, and that transition can only happen with the metals and minerals our customers deliver. So, we work side by side with mines across the globe to move less rock, use less energy, use water wisely, and create less waste. Together, we drive the shift to smart, efficient, and more sustainable mining.

Make your impact
You'll play a key role in solving real-world challenges. You'll apply your skills to deliver results that matter whether that's through engineering, planning or customer support. You'll work with purpose, learn every day and help shape a more sustainable future.

What you'll do

  • Business Engagement & Analysis:Engage closely with Supply Chain product domain teams to understand and analyze their data and analytics needs, current operations, and desired outcomes. Translate these into clear business requirements and future state solutions.

  • Solution Definition & Delivery: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 business goals and deliver measurable value.

  • Collaboration & Communication:Act as the key interface between business stakeholders (including director level and above) and technical teams, fostering strong relationships and clear communication. Champion data-driven decision-making and strategic thinking.

  • Agile Execution & Product Support:Participate in the full product lifecycle from ideation through deployment using a scaled agile approach. Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform catalog and contribute to continuous improvement.

  • Technology & Tools:Utilize and support tools such as Power BI (deep expertise preferred), Tableau, SAP (especially SAP HANA), and Microsoft technology stack. Understand ERP data flows and source-to-target mapping to enable effective analytics solutions.

  • Safety First:Demonstrate 100% commitment to our zero harm behaviors in support of our drive towards developing a world-class safety culture.

What you'll bring

Must-haves:

  • Minimum 5 years of experience in business analysis, data analytics, or related disciplines, ideally with exposure to Supply Chain or Manufacturing environments.

  • Strong business-facing skills with confidence to engage senior stakeholders and translate business needs into technical requirements.

  • Proficiency with data visualization tools such as Power BI (deep knowledge preferred) and Tableau.

  • Experience working with ERP systems, preferably SAP

Nice-to-haves:

  • Experience with data engineering concepts and tools, including data bricks and data fabric technologies.

  • Familiarity with scaled agile frameworks and product lifecycle management.

  • Background in consulting or roles requiring problem-solving using data to drive business outcomes.

  • Experience working in international and multicultural teams.

Why join Weir?
We live our values we think safety first, do the right thing, respect each other, aim high, and delight our customers. We encourage our people to lead by example and celebrate our successes.
We're passionate about our purpose to help deliver the natural resources that are essential to create a better future for the world. We do this by combining our deep customer insights, world-class engineering, materials science expertise, and intelligent automation to deliver innovative end-to-end solutions incorporating our signature technologies.
We believe your voice matters and your ideas make a difference. We're working hard to nurture a diverse culture where our people feel like they belong and can do the best work of their lives. You can help shape our unique culture through our inclusion networks and safety initiatives.

Benefits

  • Competitive pay

  • Access to global inclusion networks

  • Regional and team-specific benefits

  • Sharebuilder scheme

  • Wellness support for you and your family

  • Collaboration with global teams


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