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Data Analytics Engineer Jobs in Portland, OR (NOW HIRING)

A-dec, Inc.

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Overview The Staff Data Engineer independently plans, schedules, and leads data, analytics, and business intelligence projects of moderate scope or portions of major large-scale projects, and ...

Pwc

Data Engineer - Senior Associate

Portland, OR · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Manager

Portland, OR · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Pwc

Data Engineer - Manager

Portland, OR · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Weir Group

Data Analyst

Portland, OR

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

Weir

Data Analyst

Portland, OR · On-site

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics, user stories, and other assets for architects and engineers to implement. Ensure solutions meet ...

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All JobsData Analytics Engineer JobsData Analytics Engineer Jobs in Portland, OR

Data Analytics Engineer information

See Portland, OR salary details

$47.2K

$137.6K

$188.2K

How much do data analytics engineer jobs pay per year?

As of Aug 5, 2026, the average yearly pay for data analytics engineer in Portland, OR is $137,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,400.00 and $145,800.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

What are the key skills and qualifications needed to thrive as a data analytics engineer, and why are they important?

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

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:
What are popular job titles related to Data Analytics Engineer jobs in Portland, OR? For Data Analytics Engineer jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Analytics Engineer jobs in Portland, OR look for? The top searched job categories for Data Analytics Engineer jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Analytics Engineer jobs? Cities near Portland, OR with the most Data Analytics Engineer job openings:
Data Analytics Engineer jobs near you
Infographic showing various Data Analytics Engineer job openings in Portland, OR as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $137,565 per year, or $66.1 per hour.

Sr. Director, Data & Analytics

KEEN Footwear

Portland, OR • On-site

Full-time

Re-posted 29 days ago

Job description

Job Summary
The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEEN's data, analytics, SAP S/4HANA transformation, and AI-enabled operating model. This role is accountable for building the data foundation that enables trusted insight, intelligent decision-making, and scalable automation across the business.
This position goes beyond traditional analytics leadership. It connects business strategy, enterprise systems, and data architecture to create measurable advantage across merchandising, DTC, wholesale, supply chain, finance, and global operations. The Senior Director will partner closely with business and technology leaders to translate KEEN's transformation priorities into scalable data capabilities, modern analytics, AI readiness, and actionable decision support.
Success in this role requires deep SAP S/4HANA and data leadership experience, strong business acumen, and the ability to build the data foundation needed for an AI-enabled enterprise.
Essential Functions
Description
  • Lead data and analytics readiness for the SAP S/4HANA program, ensuring master data, KPI definitions, reporting needs, and enterprise data structures support future-state business processes.
  • Define and communicate a compelling enterprise data & AI vision that supports KEEN's commercial strategy, growth ambitions, and long-range planning.
  • Lead enterprise data architecture and platform direction, ensuring scalability, governance, reliability, and future AI enablement.
  • Develop and lead KEEN's AI data readiness strategy, enabling predictive insights, automation, personalization, and intelligent decision support.
  • Identify and prioritize high-impact analytics and AI opportunities across merchandising, DTC, wholesale, supply chain, and finance to deliver measurable business outcomes.
  • Establish enterprise data governance standards, KPI harmonization, and decision rights to improve trust, consistency, and usability of information.
  • Build and develop a high-performing team of Data Architects, Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through education and capability building.
  • Serve as a trusted advisor to executive leadership and communicate progress through business impact metrics, adoption, and value delivered.

Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without cause.
Qualifications
  • Bachelor's Degree in Computer Science, Data Science, Information Systems, Business Analytics, Engineering, or related discipline required.
  • Master's Degree in Technology, Analytics, or Business Leadership focus preferred.
  • Minimum twelve (12) years of progressive experience in data, analytics, or digital transformation leadership.
  • Minimum of five (5) years leading enterprise-scale data or analytics teams.
  • Strong SAP S/4HANA background required, including experience supporting enterprise process transformation and data readiness required.
  • Strong retail, consumer goods, footwear, apparel, or omnichannel commerce experience required.
  • Demonstrated success applying data, analytics, and enterprise systems to improve revenue growth, margin, inventory optimization, demand forecasting, customer engagement, or operational efficiency required.
  • Experience leading AI readiness or advanced analytics initiatives preferred.
  • Experience operating in federated or hub-and-spoke environments preferred.

Any equivalent combination of experience and education which clearly indicates the ability to perform the essential functions of the position may substitute on a year for year basis.
Knowledge, Skills, and Abilities
Strategic & Industry Expertise
  • Deep understanding of retail / consumer operating models (DTC, wholesale, merchandising, supply chain, planning, inventory lifecycle).
  • Ability to connect analytics, SAP S/4HANA Embedded analytics, and AI initiatives directly to business KPIs and financial outcomes.
  • Strong business acumen with the ability to quickly understand operating nuances and market dynamics.
  • Visionary mindset with the ability to articulate a practical enterprise transformation roadmap.

Technology & Architecture Leadership
  • Strong knowledge of SAP S/4HANA and how ERP design impacts data, reporting, and decision-making.
  • Expertise in enterprise data architecture, cloud data platforms, BI ecosystems, and integration frameworks.
  • Experience building governed semantic layers and standardized KPI frameworks.
  • Strong understanding of AI/ML enablement, data quality frameworks, and responsible AI governance.
  • Ability to build the data foundation required for scalable AI use cases.

Leadership & Organizational Impact
  • Proven ability to influence executives and senior business leaders.
  • Strong change management and communication skills.
  • Experience building and scaling enterprise capability functions and cross-functional teams.
  • Ability to unify technical and business stakeholders around shared goals.
  • Demonstrated ability to balance innovation with operational excellence.

Travel Required: Yes, 5% of the time.
Base Salary: $217,600.00 - $229,615.00
The salary range posted for this position represents the anticipated hiring range for this role. Offers are made within this range based on factors such as relevant experience, skills, education, internal equity, and market considerations. This is the hiring range for the position; compensation above the posted maximum is not typically available at the time of hire.
Work Location: Hybrid
This role is based in the Portland, OR area and follows a hybrid work model. Employees are expected to reside within a reasonable commuting distance of our Portland office and generally work on-site four days per week, with flexibility based on business and team needs.
Why Work at KEEN: Driven by a passion for life outside, KEEN is a values-led, independently owned brand from Portland, Oregon, that's on a mission to create original and versatile products, improve lives, and inspire outside adventure. Founded in 2003, KEEN launched a revolution in the footwear industry with the introduction of the Newport adventure sandal and has donated more than $18 million to non-profit organizations and causes around the world to promote responsible outdoor recreation, including conservation efforts to protect open spaces. KEEN strives to show the world through its products and its actions that a business for good can actually be good for business. By giving back, reducing impact, and activating communities and individuals to protectthe places where we work and play, KEEN puts its values in motion and takes action to leave the world a better place.
Fuerst Group, KEEN, and Chrome are equal opportunity employers. We value an inclusive and diverse community. Qualified candidates of all backgrounds are encouraged to apply and will be considered without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.

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