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Civil Engineering Data Analyst Jobs in Oregon (NOW HIRING)

Upstart

Staff Data Analyst, Servicing

OR · On-site +1

$61K - $81K/yr

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in ... Partnering closely with our Servicing product management, operations, engineering, and ML teams ...

Premier Staffing Solution

OR

Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater ... Engineering, Operations, and Procurement to validate cost avoidance and savings initiatives ...

Premier Staffing Solution

Data Analyst - Material Handling Equipment (MHE) Location: Preferred - Greater Chicago, IL; Greater ... Engineering, Operations, and Procurement to validate cost avoidance and savings initiatives ...

Stantec

Civil Engineer-in-Training

Portland, OR · On-site

$66K - $77K/yr

Your Opportunity Stantec is looking for an experienced Civil Engineer-in-Training (EIT) with the ... The desired candidate will perform a variety of tasks which may include engineering analysis ...

Blueprint Hires

Civil Project Manager

Happy Valley, OR

$89K - $119K/yr

Conducting code analysis and technical research for design solutions * Coordinating with internal teams, clients, and agency staff to meet project goals * Mentoring civil engineering staff and ...

Stantec

Civil Engineer-in-Training

Portland, OR · On-site

$66K - $77K/yr

Your Opportunity Stantec is looking for an experienced Civil Engineer-in-Training (EIT) with the ... The desired candidate will perform a variety of tasks which may include engineering analysis ...

Quince

OR

... using data and analytics to optimize complex operational processes. They are energized by the ... Partner on system improvements and cross-functional initiatives - collaborate with engineering and ...

Consensus Cloud Solutions

Sr. Data Analyst - Finance

OR · On-site +1

$120K - $130K/yr

We are looking for a data-driven Senior Data Analyst to join our finance team. You will support and ... You will collaborate with Data Engineering on data pipelines, identifying and solving complex data ...

AllSTEM Connections

Sales Data Analyst

Medford, OR · On-site

$70K - $80K/yr

The Sales Data Analyst is responsible for identifying, understanding, and combining data sources ... design, programming, pilot testing, installation, evaluation, and operational management.

Array

Senior Data Analyst

OR · On-site +1

$80/hr

Partner with engineers and product managers to make data and code more reliable, faster, and easier ... Analytical skills to develop data-driven insights that help improve user experience and drive ...

Origami Risk LLC

(Senior) Corporate Data Analyst

$67K - $101K/yr

Prior experience working with data engineers and understanding of technical requirements. * Preferred Experience with Databricks, Thoughtspot, , and other data lake / warehouse and analytics tools.

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Showing results 41-60

All JobsCivil Engineering Data Analyst JobsCivil Engineering Data Analyst Jobs in Oregon

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 Aug 11, 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.

What skills and qualifications are needed to be a civil engineering data analyst?

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.

What is a civil engineering data analyst?

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 does a civil engineering data analyst do?

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:
Civil Engineering Data Analyst jobs near you
Infographic showing various Civil Engineering Data Analyst job openings in Oregon as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 100% In-person job distribution, with an average salary of $87,374 per year, or $42 per hour.

Staff Data Analyst, Servicing

Upstart

OR • On-site, Remote

$61K - $81K/yr

Full-time

Re-posted 8 days ago

Upstart rating

7.6

Company rating: 7.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

Job description

The Team: 

Upstart's Servicing Analytics team plays a critical role of providing analytical capability for Upstart's servicing functions to enable data-driven decision making. We leverage our analytical and technical skills to support our partners with a multitude of services.. 

As the Staff Data Analyst on the Servicing Analytics team, you will play a pivotal role in influencing Upstart's success. Partnering closely with our Servicing product management, operations, engineering, and ML teams, you'll work directly with key stakeholders, helping drive understanding, insights, decision-making, and data infrastructure relating to the development, optimization, and enhancement of our recoveries and collections strategy. You'll contribute to key areas such as identifying areas of opportunity via business reviews with leaders and product experiments, and driving operational efficiency. This role involves conducting in-depth analyses, building business intelligence pipelines, designing A/B tests, and collaborating with cross-functional teams to drive impacts. 

How you'll make an impact

Lead the development of analytical capabilities to support servicing initiatives and drive efficiency improvements.Create regular executive level presentations to communicate findings and strategic recommendations. Design experiments and conduct quantitative analysis to test hypotheses about our users and the way they interact with our servicing initiatives, and collaborate with partners to prioritize the right problems and opportunities. Collaborate with analytics engineering and software engineering to continuously up-level our servicing data capabilities, making new data available as the business expands, and accelerate time to insights. Develop and maintain business intelligence tools to support reporting and decision-making. Mentor junior team members while fostering a culture of excellence in data and analytics, positioning the team as a hub of expertise and innovation

Minimum Qualifications 

  • 8+ years work experience in increasingly senior analytical roles in technology and finance industry
  • Strong background  in payments, product, or operations analytics, with hands-on proficient in SQL, Python and/or R
  • Exceptional track record of deriving actionable insights from analysis and analytical storytelling
  • Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, DBT, Looker, Snowflake, Redshift, Tableau, Mode
  • Degree in Economics, Statistics, Mathematics, Engineering, Data Science or other quantitative fields, providing a solid grounding in analytical and problem-solving skills essential for success

Preferred Qualifications

  • Strong analytical and quantitative background with experience in conducting and evaluating A/B tests, ideally in Financial and/or Operational related fields
  • Expertise in consumer lending, and knowledge of post origination servicing and/or operations
  • Skilled at crafting executive-ready narratives around complex business topics and successfully influence VP+ decision making
  • Demonstrated ability to work collaboratively and in deep partnership with cross-functional teams
  • Demonstrated ability to balance multiple workstreams and priorities; experience influencing up and cross functionally to maximize positive impact to the organization
  • Experience in coaching and mentoring junior team members on technical subjects

Position location This role is available in the following locations: Remote

Travel requirements As a digital first company, the majority of your work can be accomplished remotely. The majority of our employees can live and work anywhere in the U.S but are encouraged to to still spend high quality time in-person collaborating via regular onsites. The in-person sessions' cadence varies depending on the team and role; most teams meet once or twice per quarter for 2-4 consecutive days at a time.

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#LI-MidSenior 

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