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

KEEN Footwear

Sr. Director, Data & Analytics

Portland, OR · On-site

$217K - $229K/yr

It defines how data and analytics create competitive advantage across merchandising, DTC, wholesale ... Strong change management and communication skills. * Ability to unify technical and business ...

Pwc

Data Governance- Manager

Portland, OR

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ...

Weir Group

Data Analyst

Portland, OR

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics ... Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform ...

Weir

Data Analyst

Portland, OR

Define and describe the "what, why, and how" of data and analytics capabilities, creating epics ... Support Agile planning, product roadmap management, and risk assessment. Maintain the data platform ...

A-dec, Inc.

Data Engineer, Staff

Newberg, OR

$120K - $144K/yr

Defines and manages SLAs and data quality for datasets and processes. * Designs, implements, tests ... Analyzes data, analytics, and BI problems to determine suitable solutions. Establishes and ...

Adidas

Manager, Digital Consumer Analytics

Portland, OR · On-site

Market and Global Data and Analytics teams * Consumer Engagement (including CRM and Membership) REQUIREMENTS Soft Skills * Very good communication & negotiation skills, comfortable presenting complex ...

New

A-dec, Inc.

Data Engineer, Staff

Newberg, OR · On-site

$120K - $144K/yr

Defines and manages SLAs and data quality for datasets and processes. * Designs, implements, tests ... Analyzes data, analytics, and BI problems to determine suitable solutions. Establishes and ...

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

Data Analytics Manager information

See Portland, OR salary details

$32.8K

$102.8K

$182.1K

How much do data analytics manager jobs pay per year?

As of Jul 17, 2026, the average yearly pay for data analytics manager in Portland, OR is $102,824.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $132,800.00 per year, depending on experience, location, and employer.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment certain responsibilities, it is unlikely to fully replace data analysts in the near future, and skills in data storytelling and critical thinking remain essential.

How do Data Analytics Managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

What does a data analyst manager do?

A data analyst manager oversees a team of data analysts, guiding data collection, analysis, and reporting to support business decision-making. They develop strategies, ensure data accuracy, and often use tools like SQL, Excel, or data visualization software to interpret complex data sets. Strong leadership, communication skills, and knowledge of analytics tools are essential for this role.

How much do data analytics managers make?

Data analytics managers in the US typically earn a median salary of around $100,000 to $130,000 annually, with experienced professionals and those in high-demand industries earning higher. Salaries can vary based on location, education, certifications, and company size, and many roles require proficiency in tools like SQL, Python, or Tableau.

What are the key skills and qualifications needed to thrive as a Data Analytics Manager, and why are they important?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

What does a Data Analytics Manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What is the difference between Data Analytics Manager vs Data Analyst?

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

Is a data analyst a high salary?

Data analysts typically earn moderate to high salaries depending on experience, industry, and location. While entry-level positions may have lower pay, experienced data analysts with skills in SQL, Excel, and data visualization tools can command higher salaries, especially in competitive markets.
What are the most commonly searched types of Data Analytics jobs in Portland, OR? The most popular types of Data Analytics jobs in Portland, OR are:
What are popular job titles related to Data Analytics Manager jobs in Portland, OR? For Data Analytics Manager jobs in Portland, OR, the most frequently searched job titles are:
What job categories do people searching Data Analytics Manager jobs in Portland, OR look for? The top searched job categories for Data Analytics Manager jobs in Portland, OR are:
What cities near Portland, OR are hiring for Data Analytics Manager jobs? Cities near Portland, OR with the most Data Analytics Manager job openings:
Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Portland, OR as of July 2026, with employment types broken down into 1% Internship, 93% Full Time, 3% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $102,824 per year, or $49.4 per hour.
Sr. Director, Data & Analytics

Sr. Director, Data & Analytics

KEEN Footwear

Portland, OR • On-site

$217K - $229K/yr

Full-time

Re-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
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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