Associate Degree In Data Analytics Jobs in Portland, OR

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.

To be determined based on skill level and experience.

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.

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.

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.

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

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

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

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

• 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.
• 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 Constructionis 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-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, and 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. **

• Job Identification 1500
• Job Category Data Operations
• Posting Date 08/27/2026, 06:25 PM
• Degree Level High School Diploma/GED
• Job Schedule Full time
• Locations 5500 Meadows Road, Suite 500, Lake Oswego, OR, 97035, US