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Civil Engineering Data Analyst Jobs in Oregon (NOW HIRING)

You'll work closely with your Data Lead, Research Analysts, and cross-functional partners in Engineering and Product to deliver best-in-class outputs - and you'll be expected to bring ideas, not just ...

OR · On-site

$65K - $81K/yr

This position reports to the Senior Manager, Software Engineering Data Governance for the Data ... Analysis * 2+ Years of Data Governance experience, including metadata management * Strong SQL ...

Develop studies of limited scope and prepare data for cost estimations and analyses. * Prepare and ... Analyze and design engineering methods. In addition to the above, the Senior Level Engineer\Sr ...

Develop studies of limited scope and prepare data for cost estimations and analyses. * Prepare and ... Analyze and design engineering methods. In addition to the above, the Senior Level Engineer\Sr ...

Develop studies of limited scope and prepare data for cost estimations and analyses. * Prepare and ... Analyze and design engineering methods. In addition to the above, the Senior Level Engineer\Sr ...

Manager Mechanical Engineering Location: In Office , Portland OR, Orange CT The base salary range ... data. * Develop alternate methods or design concepts to resolve problems or to improve project ...

The desired candidate will perform a variety of tasks which may include engineering analysis ... Prepares and revises documentation in various civil phases. * Participate in coordination meetings ...

Civil Engineer

Portland, OR · On-site

$107K - $155K/yr

The desired candidate will perform a variety of tasks which may include engineering analysis ... Prepares and revises documentation in various civil phases. * Participate in coordination meetings ...

Prepare calculations, reports, and technical documentation to support engineering analyses and ... Bachelor's degree in civil engineering, construction engineering technology, or equivalent ABET ...

New

Senior Data Analyst

OR · Remote

$85K - $108K/yr

ABOUT THE TEAM The Financial Data Analytics team is the connective tissue between Finance, Accounting, and Engineering. Our mission is to deliver trusted financial data that is both a foundation for ...

Web design and Multimedia programmer * Quantitative research * Unstructured data analysis * Natural language processing * Equipment utilization analysis * Supply/Demand analysis * Inventory level ...

Data Analyst, Software Engineering Track

OR · On-site +1

$80K - $100K/yr

Data Analyst | Software Engineering Track AcuityMD is a software and data platform that accelerates access to medical technologies. We help MedTech companies understand how their products are used ...

Data Analyst II

OR · On-site +1

Working closely with customers, Product, Data Science, and Engineering, you'll take full ownership ... As a Feeds Data Analyst, you will: * Own Kepler data content end-to-end - driving product success ...

Data Analyst II

OR · On-site +1

Working closely with customers, Product, Data Science, and Engineering, you'll take full ownership ... As a Feeds Data Analyst, you will: * Own Kepler data content end-to-end - driving product success ...

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Showing results 1-20

Civil Engineering Data Analyst information

See Oregon salary details

$35.9K

$87.4K

$143.8K

How much do civil engineering data analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for civil engineering data analyst in Oregon is $87,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $102,600.00 per year, depending on experience, location, and employer.

Can a civil engineer become a data engineer?

A civil engineer can become a data engineer by acquiring skills in programming, data management, and cloud platforms, often through additional training or certifications in data science and database systems. Their analytical and project management experience can be valuable, but they need to develop expertise in data pipeline development, SQL, and big data tools like Hadoop or Spark. Transitioning may require a focus on technical skills and relevant certifications to meet the requirements of data engineering roles.

What are the key skills and qualifications needed to thrive in the Civil Engineering Data Analyst position, and why are they important?

To thrive as a Civil Engineering Data Analyst, you need a strong background in civil engineering principles, data analytics, and quantitative problem-solving, typically supported by a degree in civil engineering or a related field. Familiarity with tools such as AutoCAD, GIS software, SQL databases, and statistical analysis programs like MATLAB or Python is highly valued, along with relevant certifications in data analytics or engineering. Excellent communication, collaboration, and attention to detail are key soft skills in this position. These skills ensure the accurate interpretation of complex data, effective teamwork, and informed decision-making for engineering projects.

Can a civil engineer work as a data analyst?

A civil engineer can work as a data analyst by applying skills in data collection, analysis, and visualization, often using tools like Excel, SQL, or Python. Transitioning may require gaining knowledge of data-specific software and statistical methods, but the analytical mindset and problem-solving skills from civil engineering are valuable in data analysis roles.

Is 40 too late for data science?

For a civil engineering data analyst, starting a career in data science at age 40 is feasible, as the field values skills and experience over age. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and data visualization. Continuous learning and practical experience are key factors for success regardless of age.

Can you make $500,000 as a civil engineer?

Civil engineering data analysts typically do not earn $500,000 annually; such high salaries are rare and usually occur in executive or specialized consulting roles with extensive experience, advanced skills, or leadership responsibilities. Most civil engineers and related analysts earn significantly less, with top-tier professionals reaching higher salaries through senior positions or in high-cost regions. Certifications, advanced degrees, and project management skills can influence earning potential but generally do not lead to such high annual salaries in this field.

What is a Civil Engineering Data Analyst job?

A Civil Engineering Data Analyst focuses on collecting, analyzing, and interpreting data related to infrastructure projects, construction, and urban planning. They use statistical methods, software tools, and engineering principles to optimize project efficiency, assess risks, and support decision-making. Their work helps improve project outcomes, reduce costs, and enhance sustainability by leveraging data-driven insights.

What are typical daily tasks and responsibilities for a Civil Engineering Data Analyst?

As a Civil Engineering Data Analyst, your day-to-day work often involves collecting, cleaning, and analyzing large sets of engineering and construction data to support design, planning, and project management. You may create reports and data visualizations to communicate insights to engineers, architects, or project managers, and help optimize operations by identifying trends or inefficiencies. Collaboration is common, as you'll frequently work alongside project teams, field engineers, and IT specialists. Your role is essential for providing actionable data-driven recommendations that contribute to the success and safety of civil engineering projects.

What are the most commonly searched types of Civil Engineering Data Analyst jobs in Oregon? The most popular types of Civil Engineering Data Analyst jobs in Oregon are:
What are popular job titles related to Civil Engineering Data Analyst jobs in Oregon? For Civil Engineering Data Analyst jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Civil Engineering Data Analyst jobs in Oregon look for? The top searched job categories for Civil Engineering Data Analyst jobs in Oregon are:
Infographic showing various Civil Engineering Data Analyst job openings in Oregon as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $87,374 per year, or $42 per hour.
Data Analyst

Other

Retirement, PTO

Posted 19 days ago


Job description

About Us

YipitData is the leading market research and analytics firm for the disruptive economy. Our proprietary technology analyzes billions of alternative data points to uncover actionable insights across sectors like Consumer Goods, AI & Software, Cloud, Payments, and more. The world's top investment funds and Fortune 500 companies depend on our data to drive high-stakes decisions.

We oerate globally with offices in the US, APAC, and India. Our award-winning, people-centric culture-recognized by Inc. as a Best Workplace for three consecutive years-emphasizes transparency, ownership, and continuous mastery.

What It's Like to Work Here

  • Ownership is real, not aspirational. 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."
  • Growth is driven by impact, not tenure. Scope and responsibility expand as fast as you can demonstrate you're ready. We promote based on what you've done, not how long you've been here.
  • AI is a core working tool, not a side project. We're actively rebuilding how analytical work gets done - using AI agents, automation, and new tooling to fundamentally change what's possible. If you're excited about that, you'll thrive here.

About the Role

You'll join one of our sector teams - covering industries like consumer goods, software, or financial services - where you'll own data products that help the world's top investors understand company performance, market trends, and competitive dynamics. Our sector teams are where the core analytical work happens: building and maintaining the data products that our clients depend on for high-stakes decisions.

As a Data Analyst, you'll ramp quickly onto a portfolio of data products, building deep expertise in our proprietary datasets and methodologies. You'll take full ownership of your products - ensuring accuracy, improving methodologies, and delivering insights that clients trust. Over time, you'll expand your scope: taking on more complex products, identifying opportunities to improve how your team works, and growing into a key contributor who shapes how we deliver value.

This is a role for someone who wants to go deep on hard analytical problems, takes pride in getting the details right, and is motivated by owning work that matters. You'll work closely with your Data Lead, Research Analysts, and cross-functional partners in Engineering and Product to deliver best-in-class outputs - and you'll be expected to bring ideas, not just execute on others'.

As a Data Analyst, you will:

  • Own data products end-to-end - driving product success by delivering best-in-class outputs with a focus on accuracy, client value, and efficiency. You'll ramp into full ownership of your products and workflows with increasing autonomy as you build expertise.
  • Work with massive amounts of data to answer our clients' key questions about the companies and datasets we analyze. You'll develop deep expertise in our proprietary methods and techniques, building strong mental models that allow you to ensure data accuracy, identify methodology gaps, and derive key insights.
  • Tackle complex data problems using strong analytical judgment to refine methodologies, test new datasets, and solve challenges that require creative thinking - even when information is incomplete or ambiguous.
  • Use AI and tooling to drive meaningful leverage - increasing speed, reducing manual work, and automating portions of workflows. You'll build repeatable processes, maintain a high bar for correctness and quality, and validate AI-generated outputs.
  • Collaborate cross-functionally with Research, Engineering, and other teams - coordinating across functions to unblock work, align on best practices, and develop solutions that streamline workflows and optimize data processes.
  • Identify opportunities to improve products and processes - whether that's refining a methodology, exploring a new dataset, or finding a better way to do something. Contribute ideas that improve how your team operates and how we deliver value to clients.

You Are Likely To Succeed If:

  • 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 where you worked with complex data to inform real decisions
  • You have strong fluency in SQL, with experience using Python or PySpark as a plus - particularly for building reusable analysis workflows or automations
  • You have a track record of quickly learning new concepts, particularly complex data methodologies, and building strong mental models of how and why data works
  • You have tackled complex analytical problems and taken ownership beyond your immediate scope - you don't wait to be told what matters, you figure it out and drive it forward
  • You can communicate complex concepts clearly - including methodology, risks, and tradeoffs - both in writing and in conversation with technical and non-technical stakeholders
  • You actively use AI tools and are excited about using AI to drive leverage - not just productivity, but fundamentally better and faster ways of working

What We Offer:

Our compensation package includes comprehensive benefits, perks, and a competitive salary: 

  • We care about your personal life, and we mean it. We offer flexible work hours, flexible vacation, a generous 401K match, parental leave, team events, wellness budget, learning reimbursement, and more!
  • Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. See more on our high-impact, high-opportunity work environment above!
  • The annual base compensation for this position is anticipated to be $130K-$180K. The final offer may be determined by a number of factors, including, but not limited to, the applicant's experience, knowledge, skills, abilities, as well as internal team benchmarks. 

The total compensation package includes a mix of base, bonus, equity, and benefits

This role may be performed fully remotely within the United States. Please note that our US headquarters are located in NYC. Income may be subject to New York State tax withholding.

Please note that for this position, we are not able to consider candidates who currently or in the future will require visa sponsorship.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity employer.

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