Data Science Analyst II

CareOregon

Data Science Analyst II at CareOregon translating complex healthcare data into actionable insights. Developing algorithms, models, and data products while collaborating across departments in healthcare domain.

Posted 5/30/2026full-timeRemote • Oregon, Washington • 🇺🇸 United StatesMid-LevelSenior💰 $113,940 - $139,260 per yearWebsite

Tech Stack

Tools & technologies

AzurePythonTableau

About the role

Key responsibilities & impact

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.

Requirements

What you’ll need

Minimum 3 years’ experience in an analyst role
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

Benefits

Comp & perks

Medical, dental, vision, life, AD&D, and disability insurance
Health savings account
Flexible spending account(s)
Lifestyle spending account
Employee assistance program
Wellness program
Discounts
Multiple supplemental benefits (e.g., voluntary life, critical illness, accident, hospital indemnity, identity theft protection, pre-tax parking, pet insurance, 529 College Savings)
Strong retirement plan with employer contributions
Accrual of PTO and Paid State Sick Time based on hours worked/scheduled hours
Paid holidays, volunteer time, jury duty, bereavement leave

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisstatistical analysispredictive analysisdata visualizationmachine learningdata miningsegmentationfinancial forecastingmodel developmentalgorithm development

Soft Skills

collaborationcommunicationleadershipproblem-solvingstakeholder engagementdocumentationpresentation skillsanalytical thinkingattention to detailcommunity engagement