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Data Analytics Jobs in Gresham, OR (NOW HIRING)

First Tek, Inc.

Data Analyst 3

Vancouver, WA · On-site

Required : • A degree in Information Technology, Business Systems, Computer Technology or a closely-related technical field such as Data Analytics is preferred. • With an applicable Bachelor ...

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

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 ...

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 ...

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 ...

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All JobsData Analytics JobsData Analytics Jobs in Gresham, OR

Data Analytics information

See Gresham, OR salary details

$25

$57

$100

How much do data analytics jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for data analytics in Gresham, OR is $58.00, according to ZipRecruiter salary data. Most workers in this role earn between $46.59 and $65.72 per hour, depending on experience, location, and employer.

How does a Data Analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.
What are popular job titles related to Data Analytics jobs in Gresham, OR? For Data Analytics jobs in Gresham, OR, the most frequently searched job titles are:
What job categories do people searching Data Analytics jobs in Gresham, OR look for? The top searched job categories for Data Analytics jobs in Gresham, OR are:
What cities near Gresham, OR are hiring for Data Analytics jobs? Cities near Gresham, OR with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Gresham, 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 $120,635 per year, or $58 per hour.

Sr. Director, Data & Analytics

KEEN Footwear

Portland, OR • On-site

Full-time

Re-posted 26 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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