Data Analyst Lead Jobs in Oregon
Data Analyst Lead jobs in Oregon are consistently active, with the strongest concentration in technology, healthcare, and financial services, and openings at every level from senior analyst stepping into leadership for the first time to seasoned leads managing enterprise-scale teams. Portland is the primary hiring hub, with additional demand in Beaverton and Eugene, where companies like Nike, Providence Health and Services, and Intel have long-running analytics operations. Cross-functional specialties in product analytics, healthcare data governance, and supply chain intelligence are among the most sought-after in Oregon listings. Find a role that fits below and apply directly.
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This individual contributor is primarily responsible for driving strategic data-informed decisions, gathering data and information on targeted variables in an established systematic fashion, preparing data for analytic efforts, and interpreting complex data analyses. This position drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines, designs, implements, and automates business and reporting solutions, and leads the development of advanced analytical and/or statistical models enabling informed business decisions.
Essential Responsibilities:
- Practices self-leadership and promotes learning in others by building relationships with cross-functional stakeholders; communicating information and providing advice to drive projects forward; influencing team members within assigned unit; listening and responding to, seeking, and addressing performance feedback; adapting to competing demands and new responsibilities; providing feedback to others, including upward feedback to leadership and mentoring junior team members; creating and executing plans to capitalize on strengths and develop weaknesses; and adapting to and learning from change, difficulties, and feedback.
- Conducts or oversees business-specific projects by applying deep expertise in subject area; promoting adherence to all procedures and policies; developing work plans to meet business priorities and deadlines; determining and carrying out processes and methodologies; coordinating and delegating resources to accomplish organizational goals; partnering internally and externally to make effective business decisions; solving complex problems; escalating issues or risks as appropriate; monitoring progress and results; recognizing and capitalizing on improvement opportunities; and evaluating recommendations made by others.
- Interprets complex data analyses by applying findings to contextual settings; and developing insights, reports, and presentations telling a compelling story to stakeholders to enable and influence decision making; participating in peer reviews; and providing context related to data interpretations and/or limitations as appropriate.
- Leads the development of advanced analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; translating models and gaining stakeholder buy-in for implementation; creating complex models leading to actionable insights; and testing, refining, and validating models.
- Designs, implements, and automates business and reporting solutions by partnering with stakeholders to advise in their design, planning, and implementation while ensuring consistency and coherency; evaluating and summarizing data and results; creating summary statistics; designing data reports, visualizations, and/or interactive Business Intelligence (BI) reports; reporting to stakeholders on key findings; identifying needs for the development and implementation of additional reporting solutions; and preparing documentation as appropriate.
- Drives the execution of creative data analytic approaches leading to actionable outcomes across functional areas, business and/or clinical lines by defining and calculating complex metrics to be analyzed; defining, calculating, and validating algorithms; and conducting complex analyses, including descriptive, correlational, inferential, and/or predictive statistics.
- Prepares data for analytic efforts by integrating and consolidating data; ensuring data quality and accuracy; profiling data inaccuracies and recommending process improvements or system changes to enhance overall quality of the data; collaborating with stakeholders and source system owners to resolve data quality issues as appropriate; and cleaning and creating final data set(s) for analysis.
- Gathers data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across internal and external sources; completing routine data refresh and update; developing and/or delivering complex tools for electronic data collection; and providing user training, support, and documentation.
- Drives strategic data-informed decisions by consulting with clients and leadership to identify and clarify key business needs across functional areas, business and/or clinical lines; developing outcomes and process measures; translating business requirements; determining data/information needs and data collection methods; developing complex analysis plans; evaluating the impact of business decisions on clients, customers, and/or members; partnering with clients and staff to identify opportunities and methods to improve efficiencies with analysis; supporting and training end-users; and documenting processes and deliverables.
Knowledge, Skills and Abilities: (Core)
- Ambiguity/Uncertainty Management
- Attention to Detail
- Business Knowledge
- Communication
- Critical Thinking
- Cross-Group Collaboration
- Decision Making
- Dependability
- Diversity, Equity, and Inclusion Support
- Drives Results
- Facilitation Skills
- Health Care Industry
- Influencing Others
- Integrity
- Learning Agility
- Organizational Savvy
- Problem Solving
- Short- and Long-term Learning & Recall
- Teamwork
- Topic-Specific Communication
Knowledge, Skills and Abilities: (Functional)
- Business Planning
- Data Extraction
- Data Mining
- Data Visualization Tools
- Negotiation
- Project Management
- Relational Database Management
- Statistical Programming Language
- Vendor Management
- Written Communication
Minimum Qualifications:
- Minimum three (3) years experience in a leadership role with or without direct reports.
- Bachelors degree in Mathematics, Statistics, Engineering, Social/Physical/Life Science, Business, or related field and Minimum eight (8) years experience in data analytics or a directly related field. Additional equivalent work experience in a directly related field may be substituted for the degree requirement.
Preferred Qualifications:
- Three (3) years project management experience.
- Three (3) years relational database experience.
PrimaryLocation : Oregon,Portland,Kaiser Permanente Building
HoursPerWeek : 40
Shift : Day
Workdays : Mon, Tue, Wed, Thu, Fri
WorkingHoursStart : 08:30 AM
WorkingHoursEnd : 04:30 PM
Job Schedule : Full-time
Job Type : Standard
Employee Status : Regular
Employee Group/Union Affiliation : NUE-PO-01|NUE|Non Union Employee
Job Level : Individual Contributor
Job Category : Data Analytics
Department : Po/Ho Corp - Membership & Market Analytics - 7016
Travel : No
Kaiser Permanente is an equal opportunity employer committed to fair, respectful, and inclusive workplaces. Applicants will be considered for employment without regard to race, religion, sex, age, national origin, disability, veteran status, or any other protected characteristic or status.
See All 5 Data Analyst Lead Jobs in Oregon
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Find Data Analyst Lead JobsData Analyst Lead Jobs by City in Oregon
Where Oregon roles are concentrated, by current openings.
Data Analyst Lead Job Market in Oregon
A snapshot from current Oregon openings, updated as new roles post.
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What Oregon Employers Look For
The qualifications that appear most often in data analyst lead jobs across Oregon.
- Bachelor's degree in statistics, computer science, mathematics, or a related quantitative field
- Five or more years of experience in data analysis with at least two years in a lead or senior role
- Advanced proficiency in SQL and at least one programming language such as Python or R
- Demonstrated experience designing and maintaining dashboards in Tableau, Power BI, or similar tools
- Ability to translate complex data findings into clear recommendations for non-technical stakeholders
- Experience managing or mentoring junior analysts and coordinating cross-functional data projects
Data Analyst Lead Jobs in Oregon: Frequently Asked Questions
How do you become a data analyst lead in Oregon?
The path to a data analyst lead role in Oregon typically starts with a bachelor's degree in a quantitative field such as statistics, computer science, or economics, followed by several years working as a data analyst building technical depth. Oregon does not issue a state license for this role, so hiring decisions center on a strong portfolio, proficiency in tools like SQL and Python, and demonstrated leadership on projects. Earning credentials such as a Certified Analytics Professional designation can strengthen your candidacy with Oregon employers.
How much do data analyst leads make in Oregon?
Data analyst leads in Oregon earn a median of about $125,990 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $78,110 for the lowest 10% to over $206,550 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analyst leads in Oregon?
Employers hiring data analyst leads in Oregon right now include Lumen, Ryder System, and Intel Corporation, based on current listings on Migrate Mate as of November 2026. Oregon's technology corridor in and around Portland and Beaverton, combined with the state's large healthcare networks and financial institutions, means demand comes from a broad mix of industries rather than a single dominant sector.
Which Oregon cities have the most data analyst lead jobs?
Portland, Oregon, and Salem account for the majority of data analyst lead openings in Oregon. Portland drives the largest share of listings given its concentration of technology firms, major health systems such as Oregon Health and Science University and Providence, and corporate headquarters with established analytics teams, while Beaverton and Eugene pull meaningful volume through large anchor employers in manufacturing, education, and financial services.
How can I get hired as a data analyst lead in Oregon with little or no experience?
The most realistic entry path is moving into a junior or mid-level data analyst role first, then building toward a lead title over time. Oregon Health and Science University, Intel, and Providence Health and Services are examples of large Oregon employers that run structured data and analytics programs where early-career analysts take on project ownership before stepping into formal leadership. Coming from adjacent roles such as business analyst, data engineer, or reporting specialist is a common lateral move that Oregon hiring managers recognize. A portfolio of independently completed projects and a working knowledge of SQL and Python give candidates without a lead title a concrete way to demonstrate readiness.
Where can I find and apply to data analyst lead jobs in Oregon?
You can find and apply to data analyst lead jobs in Oregon on Migrate Mate, which lists current Oregon openings updated regularly. Search the listings for roles that match your experience and specialization, then apply directly to the ones that fit.
See All 5 Data Analyst Lead Jobs in Oregon
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