Data Science Analyst Visa Sponsorship Jobs in Washington
Washington is one of the strongest states for data science analyst visa sponsorship, driven by major tech employers in Seattle and Redmond including Microsoft, Amazon, and Boeing. The Puget Sound region's concentration of data-intensive industries, combined with active university pipelines from the University of Washington, makes it a competitive but opportunity-rich market for international candidates.
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Get Access To All JobsINTRODUCTION
Data Science Analyst II
This position is responsible for proactively identifying opportunities and developing algorithms, models, data structures and data products to facilitate production of insights from healthcare claims, enrollment, and other related data. The core function of this position is to translate complex data into meaningful information for decision makers. Focus areas include cost and utilization of health services, financial trending, member, and provider experience. In addition, the position is responsible for ensuring the completeness and integrity of data used for analysis and collaborating across departments within a multi-function, mission critical environment. This position is also responsible for training and mentoring junior analysts in the organization and act as subject matter expert for their domain. This is an intermediate level position that performs with minimal oversight.
Preference is given to candidates local to the Portland Metro area.
Estimated Hiring Range:
$113,940.00 - $139,260.00
Bonus Target:
Bonus - SIP Target, 5% Annual
Current CareOregon Employees: Please use the internal Workday site to submit an application for this job.
ESSENTIAL RESPONSIBILITIES
- Develop research methods and data analysis plans related to healthcare utilization, cost trends, financial forecasting, member, and provider experience.
- Expertly use appropriate software tools to retrieve, edit and tabulate data from various databases and files.
- Conduct descriptive, prescriptive, predictive analyses.
- Summarize complex data for leadership in the appropriate form (e.g., statistical summaries, narratives, charts, tables, graphs, etc.) to convey meaning, significance, and actionable information.
- Contribute/Lead in the research and development of models, algorithms, and analysis tools to mature the use and creation of self-service data products at CareOregon.
- Develop visual reporting (e.g., dashboards, scorecards, etc.) using data visualization tools such as Tableau when appropriate.
- Develop appropriate subject matter, domain expertise and serve as an expert resource.
- Collaborate with other subject matter experts to identify opportunities for building repeatable data products.
- Collaborate with business teams to understand business needs and to illicit and document requirements for analytics, algorithms, models, etc.
- Develop reporting tools to comply with regulatory reporting requirements.
- Review and assess completeness, validity, and reliability of internal data used for analysis and reporting.
- Create and maintain technical documentation such as data dictionaries, business glossaries, metric definitions, and other data resources.
- Thoroughly document models, algorithms, data products, processes and any analysis, reports developed.
- Contribute to, and actively participate in, community of practice to improve the skills and capabilities of other analysts at CareOregon.
- Assist with, prepare, and/or deliver presentations to community groups, regulatory agencies, leadership, and other teams as needed.
EXPERIENCE AND/OR EDUCATION
Required
- Minimum 3 years’ experience in an analyst role; experience should include the following:
- Proficient with statistical software packages, such as Python, R, or SAS
- Use of analytical techniques including segmentation and data mining
- Experience planning, implementing, and summarizing analysis and reporting projects
- Engaging both technical and non-technical stakeholders
Preferred
- Master or bachelor’s degree in STEM, Finance, Economics, Business Administration or Public Health
- Experience with at least one healthcare data domain (e.g., medical claims, pharmacy claims, dental claims, clinical data, etc.)
- Experience in the healthcare or health insurance industry
- Experience with machine learning, including clustering algorithms, decision tree learning, artificial neural networks, etc.
- Experience with Snowflake or Azure Databricks
- Experience with GeoAnalytics
- Experience with analysis customer/marketing data
KNOWLEDGE, SKILLS AND ABILITIES REQUIRED
Knowledge
- Understanding of data warehousing and data structures
- Knowledge of Agile development processes
Skills and Abilities
- Skills with Business Intelligence applications, such as Tableau Desktop/Creator
- Excellent critical thinking and problem-solving skills
- Strong spoken, written and listening communication skills
- Ability to independently gather, compile and analyze data using statistical methods and ability to guide and coach junior team members in this area as needed
- Ability to effectively synthesize and present actionable interpretations of complex information to internal and external stakeholders
- Ability and willingness to continually learn new skills
- Ability to manage multiple tasks concurrently
- Ability to work effectively with diverse individuals and groups
- Ability to learn, focus, understand, and evaluate information and determine appropriate actions
- Ability to accept direction and feedback, as well as tolerate and manage stress
- Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day
- Ability to hear and speak clearly for at least 3-6 hours/day
WORKING CONDITIONS
Work Environment(s): Indoor/Office Community Facilities/Security Outdoor Exposure
Member/Patient Facing: No Telephonic In Person
Hazards: May include, but not limited to, physical and ergonomic hazards.
Equipment: General office equipment
Travel: May include occasional required or optional travel outside of the workplace; the employee’s personal vehicle, local transit or other means of transportation may be used.
Work Location: Work from home
We offer a strong Total Rewards Program. This includes competitive pay, bonus opportunity, and a comprehensive benefits package. Eligibility for bonuses and benefits is dependent on factors such as the position type and the number of scheduled weekly hours. Benefits-eligible employees qualify for benefits beginning on the first of the month on or after their start date. CareOregon offers medical, dental, vision, life, AD&D, and disability insurance, as well as health savings account, flexible spending account(s), lifestyle spending account, employee assistance program, wellness program, discounts, and multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings, etc.). We also offer a strong retirement plan with employer contributions. Benefits-eligible employees accrue PTO and Paid State Sick Time based on hours worked/scheduled hours and the primary work state. Employees may also receive paid holidays, volunteer time, jury duty, bereavement leave, and more, depending on eligibility. Non-benefits eligible employees can enjoy 401(k) contributions, Paid State Sick Time, wellness and employee assistance program benefits, and other perks. Please contact your recruiter for more information.
We are an equal opportunity employer
CareOregon is an equal opportunity employer. The organization selects the best individual for the job based upon job related qualifications, regardless of race, color, religion, sexual orientation, national origin, gender, gender identity, gender expression, genetic information, age, veteran status, ancestry, marital status or disability. The organization will make a reasonable accommodation to known physical or mental limitations of a qualified applicant or employee with a disability unless the accommodation will impose an undue hardship on the operation of our organization.
INTRODUCTION
Data Science Analyst II
This position is responsible for proactively identifying opportunities and developing algorithms, models, data structures and data products to facilitate production of insights from healthcare claims, enrollment, and other related data. The core function of this position is to translate complex data into meaningful information for decision makers. Focus areas include cost and utilization of health services, financial trending, member, and provider experience. In addition, the position is responsible for ensuring the completeness and integrity of data used for analysis and collaborating across departments within a multi-function, mission critical environment. This position is also responsible for training and mentoring junior analysts in the organization and act as subject matter expert for their domain. This is an intermediate level position that performs with minimal oversight.
Preference is given to candidates local to the Portland Metro area.
Estimated Hiring Range:
$113,940.00 - $139,260.00
Bonus Target:
Bonus - SIP Target, 5% Annual
Current CareOregon Employees: Please use the internal Workday site to submit an application for this job.
ESSENTIAL RESPONSIBILITIES
- Develop research methods and data analysis plans related to healthcare utilization, cost trends, financial forecasting, member, and provider experience.
- Expertly use appropriate software tools to retrieve, edit and tabulate data from various databases and files.
- Conduct descriptive, prescriptive, predictive analyses.
- Summarize complex data for leadership in the appropriate form (e.g., statistical summaries, narratives, charts, tables, graphs, etc.) to convey meaning, significance, and actionable information.
- Contribute/Lead in the research and development of models, algorithms, and analysis tools to mature the use and creation of self-service data products at CareOregon.
- Develop visual reporting (e.g., dashboards, scorecards, etc.) using data visualization tools such as Tableau when appropriate.
- Develop appropriate subject matter, domain expertise and serve as an expert resource.
- Collaborate with other subject matter experts to identify opportunities for building repeatable data products.
- Collaborate with business teams to understand business needs and to illicit and document requirements for analytics, algorithms, models, etc.
- Develop reporting tools to comply with regulatory reporting requirements.
- Review and assess completeness, validity, and reliability of internal data used for analysis and reporting.
- Create and maintain technical documentation such as data dictionaries, business glossaries, metric definitions, and other data resources.
- Thoroughly document models, algorithms, data products, processes and any analysis, reports developed.
- Contribute to, and actively participate in, community of practice to improve the skills and capabilities of other analysts at CareOregon.
- Assist with, prepare, and/or deliver presentations to community groups, regulatory agencies, leadership, and other teams as needed.
EXPERIENCE AND/OR EDUCATION
Required
- Minimum 3 years’ experience in an analyst role; experience should include the following:
- Proficient with statistical software packages, such as Python, R, or SAS
- Use of analytical techniques including segmentation and data mining
- Experience planning, implementing, and summarizing analysis and reporting projects
- Engaging both technical and non-technical stakeholders
Preferred
- Master or bachelor’s degree in STEM, Finance, Economics, Business Administration or Public Health
- Experience with at least one healthcare data domain (e.g., medical claims, pharmacy claims, dental claims, clinical data, etc.)
- Experience in the healthcare or health insurance industry
- Experience with machine learning, including clustering algorithms, decision tree learning, artificial neural networks, etc.
- Experience with Snowflake or Azure Databricks
- Experience with GeoAnalytics
- Experience with analysis customer/marketing data
KNOWLEDGE, SKILLS AND ABILITIES REQUIRED
Knowledge
- Understanding of data warehousing and data structures
- Knowledge of Agile development processes
Skills and Abilities
- Skills with Business Intelligence applications, such as Tableau Desktop/Creator
- Excellent critical thinking and problem-solving skills
- Strong spoken, written and listening communication skills
- Ability to independently gather, compile and analyze data using statistical methods and ability to guide and coach junior team members in this area as needed
- Ability to effectively synthesize and present actionable interpretations of complex information to internal and external stakeholders
- Ability and willingness to continually learn new skills
- Ability to manage multiple tasks concurrently
- Ability to work effectively with diverse individuals and groups
- Ability to learn, focus, understand, and evaluate information and determine appropriate actions
- Ability to accept direction and feedback, as well as tolerate and manage stress
- Ability to see, read, and perform repetitive finger and wrist movement for at least 6 hours/day
- Ability to hear and speak clearly for at least 3-6 hours/day
WORKING CONDITIONS
Work Environment(s): Indoor/Office Community Facilities/Security Outdoor Exposure
Member/Patient Facing: No Telephonic In Person
Hazards: May include, but not limited to, physical and ergonomic hazards.
Equipment: General office equipment
Travel: May include occasional required or optional travel outside of the workplace; the employee’s personal vehicle, local transit or other means of transportation may be used.
Work Location: Work from home
We offer a strong Total Rewards Program. This includes competitive pay, bonus opportunity, and a comprehensive benefits package. Eligibility for bonuses and benefits is dependent on factors such as the position type and the number of scheduled weekly hours. Benefits-eligible employees qualify for benefits beginning on the first of the month on or after their start date. CareOregon offers medical, dental, vision, life, AD&D, and disability insurance, as well as health savings account, flexible spending account(s), lifestyle spending account, employee assistance program, wellness program, discounts, and multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings, etc.). We also offer a strong retirement plan with employer contributions. Benefits-eligible employees accrue PTO and Paid State Sick Time based on hours worked/scheduled hours and the primary work state. Employees may also receive paid holidays, volunteer time, jury duty, bereavement leave, and more, depending on eligibility. Non-benefits eligible employees can enjoy 401(k) contributions, Paid State Sick Time, wellness and employee assistance program benefits, and other perks. Please contact your recruiter for more information.
We are an equal opportunity employer
CareOregon is an equal opportunity employer. The organization selects the best individual for the job based upon job related qualifications, regardless of race, color, religion, sexual orientation, national origin, gender, gender identity, gender expression, genetic information, age, veteran status, ancestry, marital status or disability. The organization will make a reasonable accommodation to known physical or mental limitations of a qualified applicant or employee with a disability unless the accommodation will impose an undue hardship on the operation of our organization.
Data Science Analyst Job Roles in Washington
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Search Data Science Analyst Jobs in WashingtonData Science Analyst Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for data science analysts in Washington?
Microsoft and Amazon are the most active sponsors for data science analyst roles in Washington, with consistent H-1B visa filings across multiple job categories. Boeing, Expedia, Tableau (owned by Salesforce), and T-Mobile also appear regularly in Department of Labor disclosure data for data-related positions in the state. Smaller Seattle-area tech firms and healthcare analytics companies like Providence and UW Medicine also sponsor, though less frequently.
Which visa types are most common for data science analyst roles in Washington?
The H-1B is by far the most common visa for data science analysts in Washington, as the role typically qualifies as a specialty occupation requiring a bachelor's degree or higher in a relevant field such as statistics, computer science, or mathematics. Some candidates with advanced degrees pursue the EB-2 or EB-3 immigrant visa pathways through employer sponsorship. Candidates from Australia may also qualify for the E-3 visa, which has no lottery.
Which cities in Washington have the most data science analyst sponsorship jobs?
Seattle accounts for the overwhelming majority of data science analyst sponsorship jobs in Washington, given its concentration of large tech employers and startups. Redmond is a close second, driven primarily by Microsoft's headquarters campus. Bellevue has grown significantly as companies like Amazon expand operations there. Outside the Puget Sound metro, Spokane and Tacoma have smaller but emerging analytics hiring markets, primarily in healthcare and logistics.
How to find data science analyst visa sponsorship jobs in Washington?
Migrate Mate is built specifically for international job seekers and filters data science analyst roles in Washington by visa sponsorship willingness, saving you from manually screening hundreds of listings. You can filter by location, visa type, and role to surface Seattle and Redmond employers with a documented history of H-1B filings. This is particularly useful for identifying mid-size employers that sponsor but don't advertise it prominently.
Are there state-specific factors that affect data science analyst sponsorship in Washington?
Washington has no state income tax, which influences prevailing wage calculations and overall compensation benchmarking for H-1B Labor Condition Applications. The Seattle-Redmond metro is designated as a high-cost area, so Department of Labor prevailing wages for data science analyst roles here tend to be higher than national averages. The University of Washington also produces a large pipeline of OPT-eligible data science graduates, meaning employers in this market are generally familiar with visa sponsorship processes.
What is the prevailing wage for sponsored data science analyst jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.