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Director Data Analytics Engineer Jobs in Portland, OR

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will ...

Data Engineer 5

Beaverton, OR · On-site

$70 - $78/hr

Data Engineer Location: Beaverton, OR - Hybrid (4 days onsite / 1 day remote per week) Duration ... Develop solutions that support analytics, profitability, and margin improvement. * Partner with ...

Director, Provider Data Management-This position is responsible for enterprise leadership and ... Effectively use business intelligence and data analytics to monitor network data accuracy, forecast ...

... analytics, data quality, product data stewardship, monthly reporting operations, and forecasting enablement. In this role, you will partner closely with data engineers, data scientists, and the ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Sr. Data Engineer

Beaverton, OR · On-site

$119K - $143K/yr

You'll join our Analytics Engineering team and partner with data owners and users to build, problem-solve, and optimize the data structures other teams rely on. We hire people, not positions. That ...

Big Data Laser Analyst Description - Job Summary We are seeking a highly analytical, business ... Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills Analytics ...

Showing results 41-60

Director Data Analytics Engineer information

See Portland, OR salary details

$77.4K

$206.5K

$269.4K

How much do director data analytics engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for director data analytics engineer in Portland, OR is $206,490.00, according to ZipRecruiter salary data. Most workers in this role earn between $150,100.00 and $268,300.00 per year, depending on experience, location, and employer.

What does a Director Data Analytics Engineer do?

A Director Data Analytics Engineer oversees the design, development, and implementation of data analytics solutions within an organization. They lead teams of data engineers and analysts, set the vision for data infrastructure, and ensure that data systems effectively support business goals. Their responsibilities include managing data architecture, optimizing data workflows, and collaborating with other departments to translate business needs into technical requirements. Additionally, they are often involved in strategic planning and in establishing best practices for data governance and security.

What are the key skills and qualifications needed to thrive as a Director Data Analytics Engineer?

To thrive as a Director Data Analytics Engineer, you need deep expertise in data engineering, analytics, and strategic leadership, supported by a degree in computer science or a related field and significant industry experience. Proficiency with big data platforms (such as Hadoop and Spark), cloud services (AWS, Azure, or Google Cloud), and advanced analytics tools, along with certifications in data management or analytics, is typically required. Exceptional communication, team leadership, and problem-solving skills help drive cross-functional collaboration and innovation. These skills and qualities are essential for effectively leading analytics initiatives, translating business needs into data solutions, and driving organizational growth through data-driven decision-making.

How does a Director Data Analytics Engineer typically collaborate with cross-functional teams to drive data-driven decision making?

As a Director Data Analytics Engineer, you will regularly collaborate with stakeholders across business units, such as product managers, IT, and executive leadership, to understand their data needs and translate them into actionable analytics solutions. This often involves leading a team of data engineers and analysts, facilitating regular meetings to align on project priorities, and ensuring data infrastructure supports strategic business objectives. Effective communication and the ability to present complex technical findings in a clear, business-friendly manner are essential for fostering a data-driven culture and influencing key decisions.

What is the difference between Director Data Analytics Engineer vs Data Analytics Manager?

AspectDirector Data Analytics EngineerData Analytics Manager
CredentialsBachelor's/Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's/Master's in Analytics, Business, or related field; focus on team management
Work EnvironmentStrategic leadership, overseeing analytics projects, collaborating with executivesManaging analytics teams, project execution, reporting to directors or executives
Industry UsageUsed across tech, finance, healthcare, and more for high-level analytics strategyCommon in various industries for managing analytics operations

The Director Data Analytics Engineer focuses on strategic leadership and overseeing analytics engineering initiatives, while the Data Analytics Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the director position emphasizes strategic planning and cross-department collaboration.

What are the most commonly searched types of Data Analytics Engineer jobs in Portland, OR?

The most popular types of Data Analytics Engineer jobs in Portland, OR are:

Data Scientist 1

Portland, OR

$90K - $110K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Job description

Position Summary: Hoffman Construction is seeking a motivated and detail-oriented Data Scientist to join its Data team! In this entry-level role, the Data Scientist will work with large construction datasets, applying statistical and machine learning techniques to discover hidden trends and patterns. Using diverse structured and unstructured data, the Data Scientist will transform this data into meaningful actionable insights that drive business decisions, for both the corporation and Hoffman's project teams.  Results will be communicated using Python visualization tools or Power BI, depending on the audience. The Data Scientist will be comfortable with exploratory data analysis, programming languages such as Python and R, data modeling, ML algorithms, visualization, and reporting. The Data Scientist will also have excellent time management and communication skills, with acute attention to detail and the dedication needed to meet deadlines in a fast-paced environment. The Data Scientist will be expected to support Hoffman's project teams and relocation may be necessary. 

This is an in-person position.

Compensation Range: $90,000 - $110,000 DOE

Essential Responsibilities:

Data Science:

  • Collect, clean, and organize structured and unstructured data from various sources.

  • Perform exploratory data analysis (EDA) to clean/transform data and identify patterns and trends.

  • Build and evaluate basic predictive models using machine learning algorithms.

  • Create visualizations and dashboards to communicate insights effectively.

  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions.

  • Document processes, methodologies, and findings for future reference.

  • Stay updated on emerging data science tools and techniques.

  • Participate in the creation of semantic models in MS Fabric and Power BI for use in AI efforts.

Project Data Analytics:

  • Participate in the creation and continuous enhancement of reports and dashboards, using Power BI, Excel, Smartsheet, and other data reporting tools. 

  • Aggregate and analyze data from diverse sources, ensuring comprehensive insights and synthesis by employing innovative data visualization techniques.

  • Detect inconsistencies and incorrect data, then locate and rectify issues.

  • Oversee the creation and delivery of weekly and monthly reports to internal and external stakeholders, including executives and client representatives. 

  • Serve as the subject matter expert on data, reporting, and analytics tools, keeping abreast of technological advancements and industry trends.

  • Educate and guide cross-functional teams on leveraging reporting tools effectively, aligning with project goals.

  • Foster collaboration across departments to develop data products and tools, defining success metrics and delivering presentations that drive actionable insights and support strategic decision-making.

  • Apply automation to data collection and reporting processes to ensure accurate and timely data updates. 

Qualifications: 

Position Related Skills

  • Proficiency in Python or R; familiarity with SQL.

  • Practical experience creating end-to-end data science projects including EDA, feature engineering, model building and testing, and reporting results to a variety of audiences.

  • Experience with data analysis and visualization tools like Pandas, NumPy, Scikit Learn, Matplotlib, Seaborn, or similar.

  • Understanding of both supervised and unsupervised learning techniques.

  • Practical experience with machine learning tools and techniques.

  • Strong foundation in probability, hypothesis testing, and regression analysis.

  • Proficiency in using Jupyter Notebooks.

  • Ability to clean, preprocess, and manipulate large datasets.

  • Experience with data modeling techniques.

  • Experience using Power BI, Excel, Smartsheet, and other data analytic/reporting tools, with an aptitude for learning new tools.

  • Proficiency in DAX programming language.

  • Ability to communicate complex information to a range of data-literate audiences

  • Ability to solve problems independently and cooperatively with other team members.

  • Proficient technical writing experience in relevant areas, including queries, reports, and presentations.

  • Familiarity with Git, MS Fabric, and cloud platforms (AWS, Azure, or GCP) is a plus.

  • Previous experience in the construction industry is beneficial. 

  • Familiarity with construction management software, such as Procore, is beneficial.

Professional Experience and Education

  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Information Science/Management, or a related field of study, or equivalent work experience required.

  • Five (5)+ years of professional data analysis and BI reporting experience, including statistical analysis preferred.

Competencies:

Action-oriented 

  • Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm 

    • Readily takes action on challenges

    • Identifies and seizes new opportunities 

    • Displays a can-do attitude in good and bad times 

    • Steps up to handle tough issues 

Manages ambiguity 

  • Operating effectively, even when things are not certain or the way forward is not clear 

    • Deals comfortably with the uncertainty of change 

    • Effectively handles risk 

    • Can decide and act without the total picture 

    • Is calm and productive, even when things are up in the air 

    • Deals constructively with problems that do not have a clear solution

Collaborates

  • Building partnerships and working collaboratively with others to meet shared objectives 

    • Works cooperatively with others across the organization to achieve shared objectives 

    • Represents own interests while being fair to others and their areas

    • Partners with others to get work done

Communicates effectively

  • Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences 

    • Is effective in a variety of communication settings: one-on-one, small and large groups, or among diverse styles and position levels 

    • Attentively listens to others 

    • Adjusts to fit the audience and the message 

    • Provides timely and helpful information to others across the organization 

    • Encourages the open expression of diverse ideas and opinions 

Manages complexity 

  • Making sense of complex, high quantity, and sometimes contradictory information to effectively solve problems 

    • Asks the right questions to accurately analyze situations 

    • Acquires data from multiple and diverse sources when solving problems 

    • Uncovers root causes to difficult problems

Physical and Mental Requirements:

  • Standing/Walking/Sitting: Workday is a combination of sitting/walking and standing.
  • Legs: Must be able to climb stairs - 5% of the day.
  • Hands/Arms: Constant use of hands/fingers for mouse/keyboard/computer use.
  • Vision: Visual acuity in near, mid, and far-range vision. Color vision, peripheral vision, depth perception, hand/eye coordination.
  • Hearing: Sufficient to hear conversational levels in person and over the telephone and radio; sufficient to hear alarms on equipment.
  • Speech: Sufficient to make oneself heard in person, speak in front of groups, and be understood over the telephone and radio. 
  • Lift/Carry: Up to 50lb computer/drawings- minimal.
  • Bending/Twisting: Minimal.
  • Kneeling/Crouching/Crawling: Minimal.
  • Constant mental alertness, accuracy, and attention to detail required.
  • Must be able to work independently, make decisions, and follow through on all assignments.
  • Must use creativity, independent judgment, and organizational and problem-solving skills to determine the best method to accomplish desired results.
  • Must be able to plan and organize work.
  • Must possess strong organizational and computer use skills and have an elevated level of competency to read/write/speak English, interpret construction related documentation and communicate with coworkers.
Build What Matters. Create What's Next.  

Hoffman Construction is a forward-thinking, self-performing builder specializing in technically complex, sustainable projects across advanced technology, mission critical, life sciences, healthcare, higher education, and commercial markets. Since 1922, we've grown from entrepreneurial roots into a multi-billion-dollar, employee-owned enterprise-now a dynamic family of companies with a national presence and a legacy of excellence.

At Hoffman Construction, your potential has room to grow. Whether you're on a jobsite or in a corporate office, you'll be empowered to take initiative, explore new paths, and shape the future of construction. We believe in building opportunity together-by unlocking talent, inspiring innovation, and driving forward the ideas that make a difference.

Join us and benefit from:

  • Competitive pay and advancement opportunities

  • Ongoing professional training and development

  • Comprehensive benefits-including free primary care for you and your family through our dedicated clinics, health insurance, paid time off, and a generous retirement plan.

  • A culture rooted in inclusion, collaboration, and respect.

We're hiring across all departments. Discover your future with us.

https://www.hoffmancorp.com/careers/


Application review will consider without limitation the following criteria: qualifications, education, and experience specific to the job description/duties as well as prior experience with Hoffman Construction. Applicants must be able to pass the Hoffman Drug and Alcohol test. 

Hoffman Construction is an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity or expression, national origin, age, disability, protected veteran status, genetic information, or any other characteristic protected by applicable law. 

This job description is intended to outline the general nature and level of work being performed by employees. It is not designed to cover or contain a comprehensive list of responsibilities, duties, or skills required of the employee of this job. Furthermore, this description is subject to change at the discretion of the company, with or without notice. 

**Please note, we are not able to offer sponsorship for this position. **