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

Pwc

Data Engineer - Senior Associate

Portland, OR

$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

$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 ...

Milliman

Data Engineer (MedInsight)

Portland, OR · On-site +1

$93K - $177K/yr

MedInsight's engineering team is building the next generation of healthcare data analytics. We are ... Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR

$91K - $115K/yr

... BI & Analytics to become the company's first dedicated data and business intelligence owner ... Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business ...

PayRange

Senior Data Analyst, BI & Analytics

Portland, OR · On-site

$91K - $115K/yr

... BI & Analytics to become the companys first dedicated data and business intelligence owner ... Work with Sales, Marketing, Operations, Support, Product, and Engineering to understand business ...

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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 Jun 15, 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.

Can I be a data analyst in 3 months?

Becoming a data analyst in three months is challenging but possible with intensive study of core skills such as SQL, Excel, and data visualization tools like Tableau or Power BI. Success depends on prior experience, learning pace, and dedication, but typically, developing proficiency takes longer than three months for most individuals.

What engineers make $500,000?

Senior data analytics engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like Python, SQL, and cloud platforms can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires a combination of technical expertise, leadership roles, and sometimes stock options or bonuses.

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. However, data analysts are still essential for interpreting results, understanding business context, and communicating findings, making their skills valuable alongside AI tools. Continuous learning in data visualization, programming, and machine learning remains important for the role.

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 does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to deliver actionable insights.
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:
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Data Analytics Engineer jobs near you
Sr. Director, Data & Analytics

Sr. Director, Data & Analytics

KEEN Footwear

Portland, OR • On-site

$217K - $229K/yr

Full-time

Posted 10 days ago

Job description

Job Summary
The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEEN's data vision and transforming the organization into a truly data-driven and AI-enabled business. This role goes beyond platform ownership. It defines how data and analytics create competitive advantage across merchandising, DTC, wholesale, supply chain, finance, and global operations. The Senior Director will connect strategy to execution - translating business priorities into scalable data capabilities, modern analytics, and intelligent decision frameworks.
As Head of the Analytics Center of Excellence (CoE), this leader will unify technical and functional analytics communities, elevate data literacy, standardize KPIs, and embed analytics into everyday business decision-making. Success in this role requires both deep technology expertise and strong retail/consumer industry knowledge to ensure rapid, practical impact.
Essential Functions
Description
  • Defines and communicates a compelling enterprise data & AI vision that supports KEEN's commercial strategy, growth ambitions, and long-range planning.
  • Identifies and prioritizes high-impact analytics opportunities across merchandising, DTC, wholesale, supply chain, and finance - ensuring measurable business outcomes.
  • Develops and leads KEEN's AI data readiness strategy, enabling predictive insights, automation, personalization, and intelligent decision support.
  • Provides executive-level thought leadership on how analytics can improve margin, inventory productivity, customer engagement, and operational efficiency.
  • Leads enterprise data architecture and platform direction, ensuring scalability, governance, and reliability.
  • Leads and evolves the Analytics Center of Excellence, establishing governance standards, KPI harmonization, intake processes, and enterprise decision rights.
  • Builds and develops a high-performing team of Data Architects, Data Engineers, and Technical Data Analysts; strengthen the broader analyst community through education and capability building.
  • Serves as a trusted advisor to executive leadership; communicate progress through business impact metrics, not just technical milestones.

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.

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
  • Deep understanding of retail / consumer industry operating models (DTC, wholesale, merchandising, supply chain, planning, inventory lifecycle).
  • Ability to connect analytics initiatives directly to commercial KPIs and financial outcomes.
  • Strong business acumen with the ability to quickly understand industry nuances and market dynamics.
  • Visionary mindset with the ability to articulate a forward-looking analytics roadmap.
  • 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.
  • Proven ability to influence executives and senior business leaders.
  • Experience building and scaling Centers of Excellence or enterprise capability functions.
  • Strong change management and communication skills.
  • Ability to unify technical and business analytics communities.
  • Demonstrated ability to balance innovation with operational excellence.

Travel Required: Yes, 5% of the time.
Base Salary: $217,600.00 - $229,615.00
This range represents the low and high ends of this position's anticipated base salary range. The actual base salary will depend on numerous factors such as experience, knowledge, skills, and location. Our base salary is just one component of our competitive total rewards strategy, which includes numerous benefits and perks as well as specific health and welfare benefits.
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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