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Director Data Analytics Engineer Jobs in Portland, OR

... analytics capabilities, creating epics, user stories, and other assets for architects and engineers ... Act as the key interface between business stakeholders (including director level and above) and ...

... analytics capabilities, creating epics, user stories, and other assets for architects and engineers ... Act as the key interface between business stakeholders (including director level and above) and ...

Sr. Data Engineer

Beaverton, OR · On-site

$100 - $125/hr

The Sr. Data Engineer position is going to help the Digital Dash team pull data from various ... Design and implement features in collaboration with product owners, reporting analysts / data ...

Data Scientist/Analyst

Vancouver, WA · On-site

$90K - $120K/yr

Bachelor's degree in Data Science, Data Analytics, Statistics, Mathematics, Computer Science, Economics, Engineering, or a matching quantitative field required (Master's degree is a distinct ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Data Scientist 1

Lake Oswego, OR · On-site

$90K - $110K/yr

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 Scientist 1

Portland, OR · On-site

$80 - $100/hr

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 Scientist 1

Portland, OR · On-site

$100 - $125/hr

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 ...

Showing results 21-40

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:

Senior Manager, Finance Data & Analytics

Portland, OR

$115K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Job description

OUTGROWN YOUR OWN BACKYARD? COME PLAY IN OURS.

At Columbia, we're as passionate about the outdoors as you are. And while our gear is available worldwide, we're proud to be based in the Pacific Northwest, where natural wonders are our playground.

Every product we make and every task we undertake is inspired by the famous words of our founder Gert Boyle: "It's perfect. Now make it better." As pioneers of relentless improvement, we are constantly evolving.

We believe the outdoors is ours to protect and strive to keep our planet healthy. We believe in empowering people to experience the outdoors to the fullest.

And we believe in you.

ABOUT THE POSITION

As Senior Manager, Finance Data & Analytics, you will serve as the bridge between Finance stakeholders and enterprise analytics teams, helping shape data strategy, governance, reporting standards, and analytics roadmaps. You will lead and be accountable for the development of a new Finance Analytics capability, build trusted relationships across the organization, and create the data foundation that enables faster insights and better business decisions.

This is an ideal opportunity for an analytics leader who enjoys building capabilities from the ground up, creating order from complexity, and partnering with business leaders to unlock the value of enterprise data.

HOW YOU'LL MAKE A DIFFERENCE

  • Build and lead Columbia's Finance Data & Analytics capability, establishing the roadmap, governance, operating model, and long-term vision for Finance analytics.
  • Lead change management, training, and stakeholder engagement efforts that increase analytics adoption, improve data literacy, and foster a data-driven culture across Finance.
  • Partner with leaders across FP&A, Accounting, Tax, Treasury, Procurement, and Audit to identify high-value analytics opportunities and prioritize initiatives that drive business impact.
  • Define and implement scalable reporting, dashboarding, and self-service analytics solutions that improve decision-making and reduce manual reporting efforts.
  • Collaborate closely with Enterprise Data & Analytics to align Finance data architecture, governance practices, KPI definitions, semantic models, and technology standards.
  • Lead the development of Finance data foundations, including data access, integration, cleansing, standardization, and semantic layer development.
  • Oversee delivery of dashboards, analytics products, models, and actionable business insights while ensuring data quality, accuracy, and governance standards are maintained.
  • Establish and manage analytics intake, prioritization, and backlog processes to ensure resources are aligned to the highest business value opportunities.
  • Build and develop a high-performing analytics team, including direct and indirect partnerships with business analysts, data analysts, and data engineering resources.
  • Measure and communicate the business impact, adoption, and value realization of Finance analytics initiatives.
  • Serve as a strategic advisor to Finance leadership, helping the organization mature its analytics capabilities and prepare for future AI-enabled solutions.

YOU ARE

  • An effective communicator who can influence executive leaders, translate complex technical concepts into business outcomes, and build alignment across diverse stakeholders.
  • A builder who thrives in ambiguous environments and enjoys creating new capabilities, processes, and operating models from the ground up.
  • A trusted business partner who can communicate effectively with both technical teams and senior business leaders.
  • Naturally curious and energized by solving complex business problems through data and analytics.
  • Skilled at influencing without authority and building alignment across multiple stakeholders and functions.
  • Comfortable balancing strategic planning with hands-on execution when needed.
  • A leader who develops teams, drives accountability, and creates a culture of continuous improvement.

YOU HAVE

  • Bachelor's degree in Analytics, Information Systems, Computer Science, Data Science, Business, Finance, or a related field.
  • 8+ years of experience in analytics, business intelligence, data management, data strategy, or related disciplines, including experience leading cross-functional initiatives.
  • Experience building, scaling, or maturing analytics capabilities, centers of excellence, reporting functions, data governance programs, or enterprise data solutions.
  • Strong knowledge of business intelligence and analytics platforms, with Power BI experience strongly preferred.
  • Familiarity with modern cloud data environments, data lakes, semantic models, data architecture concepts, and enterprise reporting ecosystems.
  • Strong understanding of Finance, Accounting, FP&A, Treasury, Tax, or related business processes, with experience delivering analytics solutions that support financial decision-making.
  • Experience with Azure, Databricks, SQL, TM1, or related analytics technologies preferred.
  • Demonstrated success leading teams, influencing stakeholders, and delivering measurable business outcomes through data.

#LI-JD1

This job description is not meant to be an all-inclusive list of duties and responsibilities, but constitutes a general definition of the position's scope and function in the company.

Columbia Sportswear Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. Columbia Sportswear is committed to working with and providing reasonable accommodation for individuals with disabilities. https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12.pdf. If you need reasonable accommodation because of a disability for any part of the employment process, please notify your recruiter.At Columbia Sportswear Company, we're proud to offer regular full-time employees a benefits package that includes a variety of services and products to help make your life and work more rewarding. Our benefit programs contribute to overall employee well-being by aligning those programs with the fundamental elements of well-being: physical, social/emotional, financial, career and community. Benefits that can protect your family's financial future and help you save money through our 401k plan plus a generous company match. Columbia offers medical, dental, vision, life Insurance, disability, flexible spending accounts, health savings account, and an assortment of voluntary benefit offerings (accident, critical illness, hospital indemnity, and legal services). In addition, Columbia offers EAP + which is free and confidential 24/7/365 counseling services. We have extensive wellness benefits, employee discounts and a generous time off program available.If you need an accommodation/adjustment to successfully complete and submit your application, please reach out to AskHR@columbia.com with the Subject: Applicant Assistance Requested.