Data Analytics Lead Jobs in Oregon
Data Analytics Lead jobs in Oregon are in strong demand, with hiring concentrated in technology, healthcare, financial services, and retail analytics, and openings at the senior individual contributor and people-management levels. Portland anchors the market, followed by Beaverton and Hillsboro, where established employers like Nike, Intel, and Providence Health have built out substantial analytics functions. The most in-demand specialties are predictive modeling, business intelligence platform ownership, and data governance leadership. 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 Analytics Lead Jobs in Oregon
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Data Analytics 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 analytics lead jobs across Oregon.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of experience in data analytics with at least one year in a lead or senior role
- Proficiency in SQL and at least one of Python, R, or Scala for large-scale data manipulation
- Hands-on experience with BI tools such as Tableau, Power BI, or Looker in a production environment
- Demonstrated experience defining analytics strategy and mentoring junior analysts or data engineers
- Familiarity with cloud data platforms such as AWS, Google Cloud, or Azure and modern data warehouse architecture
Data Analytics Lead Jobs in Oregon: Frequently Asked Questions
How do you become a data analytics lead in Oregon?
Data analytics lead roles in Oregon do not require a state-issued license or registration. Most employers expect a bachelor's degree in a quantitative field such as statistics, computer science, or economics, with a master's degree often preferred for lead-level positions. Candidates typically move into lead roles after several years as a senior analyst or data engineer, building a portfolio of end-to-end projects and gaining experience managing cross-functional stakeholders across Oregon's technology, healthcare, or retail sectors.
How much do data analytics leads make in Oregon?
Data analytics 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 analytics leads in Oregon?
Employers hiring data analytics 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 mix of global technology manufacturers, large integrated health systems, and direct-to-consumer retail brands means lead-level analytics talent is in demand across multiple industries simultaneously.
Which Oregon cities have the most data analytics lead jobs?
Portland, Oregon, and Salem have the most data analytics lead openings in Oregon. Portland drives the bulk of demand as the state's primary corporate headquarters hub for technology, financial services, and healthcare organizations, while Beaverton and Hillsboro add substantial volume thanks to the large campuses that Nike and Intel operate there.
How can I get hired as a data analytics lead in Oregon with little or no experience?
The most realistic path is moving up from an analyst or data engineer role at an Oregon employer rather than applying to lead positions directly. Large Portland-area employers in healthcare and technology regularly run rotational analyst programs or post associate analyst roles that serve as structured entry points. Building a portfolio of end-to-end projects, earning a certification in a platform like Tableau or dbt, and taking on informal mentorship responsibilities within a current team all signal lead readiness to Oregon hiring managers before a formal title change occurs.
Where can I find and apply to data analytics lead jobs in Oregon?
You can find and apply to data analytics lead jobs in Oregon on Migrate Mate, which lists current Oregon openings. Find roles that fit your experience and apply directly to each one.
See All 5 Data Analytics Lead Jobs in Oregon
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