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Data Analysis Inc Jobs in Oregon (NOW HIRING)

Data Analyst

OR · On-site +1

Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three ... analysis workflows or automations * You have a track record of quickly learning new concepts ...

Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three ... data analysis skill set, gain direct exposure to clients, and join a rapidly growing team at ...

Data Analyst

OR · On-site +1

Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three ... analysis workflows or automations * You have a track record of quickly learning new concepts ...

Lead Data Scientist

OR · On-site +1

Relentless innovation has fueled our journey to consistent leadership recognition from analysts ... annual Inc. 5000 list of fastest-growing American companies since 2008. Summary As a Lead Data ...

Senior Data Analyst - Financial Analytics

OR · On-site +1

$132K - $173K/yr

Forming Our Future together FormFactor, Inc. (NASDAQ: FORM), is a leading provider of essential ... Corporate Finance, Data Analysis, Developing Financial Models, Financial Reporting and Analysis ...

This position offers growth opportunities for someone who is passionate about analyzing business performance, making data-driven decisions, and testing and optimizing strategy. We hire people, not ...

This position offers growth opportunities for someone who is passionate about analyzing business performance, making data-driven decisions, and testing and optimizing strategy. We hire people, not ...

This position offers growth opportunities for someone who is passionate about analyzing business performance, making data-driven decisions, and testing and optimizing strategy. We hire people, not ...

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Data Analysis Inc information

What is Data Analysis Inc?

Data Analysis Inc is typically a company or organization specializing in providing data analysis services to help businesses make informed decisions. They use statistical tools, software, and methodologies to analyze raw data, uncover patterns, and generate actionable insights. Clients often rely on these services for market research, performance tracking, or predictive analytics to drive their business strategies. Data Analysis Inc may also offer consulting, training, and customized reporting solutions to meet specific client needs.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science, often supported by a relevant degree. Familiarity with tools such as SQL, Excel, Python or R, and data visualization platforms like Tableau or Power BI is typically required, and certifications in analytics can be advantageous. Attention to detail, critical thinking, and effective communication are crucial soft skills for interpreting data and presenting insights to stakeholders. These skills and qualities are vital for transforming complex data into actionable business decisions and driving organizational success.

What are some common challenges a data analyst might face when working with cross-functional teams?

Data analysts often collaborate with teams from various departments, such as marketing, finance, or product development. One common challenge is translating complex data findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning on data definitions and ensuring consistent data quality across different sources can be difficult. Effective communication and a collaborative mindset are essential for overcoming these challenges and driving impactful business decisions.

What is the difference between Data Analysis Inc vs Data Analytics Specialist?

AspectData Analysis IncData Analytics Specialist
Required CredentialsBachelor's in Data Science, Statistics, or related field; often certifications like CAP or Microsoft Data AnalystBachelor's or higher in Data Science, Analytics, or related; certifications like CAP, Microsoft, or Google Data Analytics
Work EnvironmentCorporate offices, consulting firms, or remote settings within various industriesSimilar environments, often in tech, finance, or healthcare sectors
Employer & Industry UsageUsed by companies seeking data-driven decision making across industriesCommonly used by organizations requiring specialized data analysis roles

Data Analysis Inc and Data Analytics Specialist roles share similar credentials and work environments, often overlapping in industry usage. The main difference lies in the job scope: Data Analysis Inc may refer to a company or team, while Data Analytics Specialist is a specific job title focused on applying analytical techniques. Both roles are essential for organizations leveraging data to inform decisions.

Are data analysts still in demand?

Data analysts are currently in high demand across many industries due to the increasing reliance on data-driven decision making. Skills in statistical analysis, data visualization tools like Tableau or Power BI, and programming languages such as Python or R enhance employability in this field.

Is it still worth it to become a data analysis inc in 2026?

Data analysis remains a valuable career in 2026, as demand for professionals skilled in statistical tools, programming languages like Python or R, and data visualization continues to grow across industries. Strong analytical skills and familiarity with data management platforms can enhance job prospects, making it a viable career choice for those interested in data-driven decision making.
Infographic showing various Data Analysis Inc 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.

Data Analyst Engineer

Mattson Technology, Inc.

Hillsboro, OR • On-site

$70 - $90/hr

Other

Posted 8 days ago


Job description

Data Analyst Engineer

Position Summary: The Data Analyst Engineer is responsible for supporting data‑driven decision‑making and documentation processes by collecting, analyzing, and interpreting system and operational data. This role will work closely with engineering, technical support, and customer teams to ensure accurate reporting, process standardization, and continuous improvement, particularly in support of customer requirements.

Key Responsibilities
  • Collect, analyze, and interpret equipment and system performance data to identify trends, issues, and improvement opportunities
  • Develop and maintain dashboards, reports, and data visualization tools
  • Support predictive analysis to identify potential system failures and improve uptime
  • Collaborate with Technical Support and Engineering teams to document best known methods (BKMs), procedures, and manuals
  • Prepare documentation to align with customer‑specific standards and copy‑exact requirements
  • Manage and maintain documentation related to escalations, corrective actions, and system changes
  • Track, manage, and follow up on action items and key deliverables
  • Ensure data accuracy, integrity, and consistency across systems and reports
  • Support continuous improvement initiatives through data insights and process optimization
Qualifications
  • Master's degree in Engineering, Computer Science, Data Analytics, or a related field
  • 0–3 years of experience in data analysis, engineering, or a related technical role (new graduates encouraged to apply)
  • Proficiency in data analysis tools (e.g., Excel, SQL, Python, or similar)
  • Experience with data visualization tools (e.g., Power BI, Tableau) preferred
  • Strong analytical, problem‑solving, and organizational skills
  • Ability to work cross‑functionally and communicate effectively with technical and non‑technical stakeholders
Preferred Skills
  • Experience in semiconductor or manufacturing environments
  • Familiarity with technical documentation and process standardization
  • Understanding of system performance metrics and predictive analytics
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