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Manager Of Data Analytics Jobs in Oregon (NOW HIRING)

You have 3-5+ years of experience in data analytics , with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment ...

You have 3-5+ years of experience in data analytics , with a background in fields like financial services, management consulting, data science, or high-growth technology - or another environment ...

Director of Data Sourcing

OR ยท On-site +1

$350K/yr

We analyze billions of alternative data points every day to provide accurate, detailed insights ... Ongoing relationship management and renewals are handled by a separate team. What Success Looks ...

... data-driven decision-making capabilities across the health system. This leadership role will be responsible for guiding BI strategy, overseeing delivery of dashboards and analytic solutions, managing ...

Procom's areas of staffing expertise include: Application Development Project Management Quality ... Data Analyst Job Details Activities could include but is not limited to the following: Analysis of ...

This person manages the process of pulling and analyzing key business data and presenting it to stakeholders in an easily digestible format. Starting base pay for this role is between $67,800 and ...

Sr. Data Analytics Engineer

OR ยท On-site +1

$125K - $165K/yr

Purpose of Role Under Armour is seeking a highly motivated Sr. Data Analytics Engineer to join our Enterprise Data Management & Analytics team. This role plays a key part in enabling decision ...

... of education and experience. Experience Experience in data governance, data analytics, metadata management, and operational data processes within an enterprise environment. Technical Skills Data ...

Procom's areas of staffing expertise include: Application Development Project Management Quality ... with Web Analytics tools such as Adobe Omniture, Web Trends and Google Analytics - Experience ...

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 ...

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 ...

Sr. Data Analyst - Finance

OR ยท On-site +1

$120K - $130K/yr

Experience: 3 to 5 years of experience in data analytics, business intelligence, or financial ... You can write complex, optimized queries, handle window functions, and manage large-scale data ...

... of data governance practices for data used within the Holistic Health and Fitness Management System (H2FMS). This role ensures that data supporting scientific analysis, analytics, and user engagement ...

OR ยท On-site

Manage system performance, scalability, security, and compliance across all owned platforms What Sets You Apart * 8+ years of experience in data analytics, business intelligence, or a related field ...

OR ยท On-site

$126K - $166K/yr

As a Senior Product Manager you'll drive the success of data and AI solutions that connect client ... Experience in product management for data, analytics, or AI platforms/products (consulting, SaaS ...

As part of the Data and Analytics Engineering team you can design and implement thorough data architecture strategies that meet current and future business needs. As a Manager you can lead the ...

Showing results 21-40

Manager Of Data Analytics information

See Oregon salary details

$32.8K

$102.7K

$181.9K

How much do manager of data analytics jobs pay per year?

As of Aug 10, 2026, the average yearly pay for manager of data analytics in Oregon is $102,710.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,800.00 and $132,700.00 per year, depending on experience, location, and employer.

What does a manager of data analytics do?

A Manager of Data Analytics oversees a team responsible for collecting, analyzing, and interpreting large data sets to help organizations make informed business decisions. They develop data strategies, ensure data quality, and collaborate with other departments to identify opportunities for leveraging data-driven insights. Their role typically includes managing analytics projects, mentoring team members, and communicating findings to stakeholders in a clear and actionable manner.

What are the key skills and qualifications needed to thrive as a manager of data analytics?

To thrive as a Manager of Data Analytics, you need strong analytical abilities, expertise in data modeling, and a solid background in statistics or computer science, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms such as Python or R, along with experience in project management systems, is typically required. Excellent leadership, communication, and problem-solving skills help you effectively manage teams and convey insights to stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive business performance and innovation.

Is data analytics a high paying job?

Data analytics roles, including Manager of Data Analytics, tend to offer competitive salaries that are above average for many industries. Factors such as experience, certifications, and proficiency with tools like SQL and Python influence earning potential, which can increase with leadership responsibilities and advanced skills.

What are the typical challenges faced by a manager of data analytics when leading a diverse analytics team?

A Manager of Data Analytics often encounters challenges such as aligning team members with varying technical backgrounds, ensuring clear communication of complex data insights to non-technical stakeholders, and balancing multiple project priorities. Additionally, fostering a culture of continuous learning is essential due to the rapid evolution of analytics tools and methodologies. Successful managers address these challenges by promoting collaboration, setting clear expectations, and providing ongoing professional development opportunities.

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

AspectManager Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often some management experienceBachelor's degree in related field; entry to mid-level role
Work EnvironmentLeads teams, manages projects, collaborates with senior managementAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed across industries to oversee analytics teams and strategiesCommonly employed to perform data analysis tasks within organizations

The main difference is that the Manager Of Data Analytics oversees analytics teams and strategies, requiring leadership skills and management experience, while Data Analysts focus on analyzing data and generating reports. The manager role involves higher-level responsibilities and team coordination, whereas data analysts execute specific data tasks to support business decisions.

What are the most commonly searched types of Of Data Analytics jobs in Oregon? The most popular types of Of Data Analytics jobs in Oregon are:
What cities in Oregon are hiring for Manager Of Data Analytics jobs? Cities in Oregon with the most Manager Of Data Analytics job openings:

Sr. Director, Data & Analytics New Portland, OR

KEEN, Inc.

Portland, OR โ€ข On-site

$180 - $240/hr

Other

Posted 2 days ago

New


Job description

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The Senior Director, Data & Analytics is a strategic enterprise leader responsible for shaping KEENโ€™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 KEENโ€™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 KEENโ€™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 KEENโ€™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.

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 offer.

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, thatโ€™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 protect the places where we work and play, KEEN puts its values in motion and takes action to leave the world a better place.

At KEEN, we believe in a more just and equitable future for all people. As a global brand, we acknowledge that our business, buildings, and daily lives exist within the traditional territories of indigenous peoples. We strive for a future that recognizes the knowledge, rights, and resilience of these peoples.

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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