Intern Data Science Insurance Jobs in Portland, OR

Let’s do great things, together!

About Moda
Founded in Oregon in 1955, Moda is proud to be a company of real people committed to quality. Today, like then, we’re focused on building a better future for healthcare. That starts by offering outstanding coverage to our members, compassionate support to our community and comprehensive benefits to our employees. It keeps going by connecting with neighbors to create healthy spaces and places, together. Moda values diversity and inclusion in our workplace. We aim to demonstrate our commitment to diversity through all our business practices and invite applications from candidates that share our commitment to this diversity. Our diverse experiences and perspectives help us become a stronger organization. Let’s be better together.

Position Summary
The Data Science BSA gathers and documents business requirements for the Enterprise Data Warehouse (EDW), including processes, system flows, and functional designs for break-fixes, upgrades, vendor implementations, and product enhancements. This position analyzes existing systems, designs new systems, and evaluates requirements and specifications throughout the software development lifecycle, including testing and implementation for projects with significant departmental or organizational impact. This is a FT WFH position.

Pay Range

$71,906.46 - $93,480.50 annually (depending on experience).
*This role may be classified as hourly (non-exempt) depending on the applicant's location. Actual pay is based on qualifications. Applicants who do not exceed the minimum qualifications will only be eligible for the low end of the pay range.

Please fill out an application on our company page, linked below, to be considered for this position.

Benefits:

• Medical, Dental, Vision, Pharmacy, Life, & Disability
• 401K- Matching
• FSA
• Employee Assistance Program
• PTO and Company Paid Holidays

Required Skills, Experience & Education:

1. 8+ years of experience in technical or business analysis, including at least 5 years as a Business Systems Analyst. Experience with data teams or data warehouses and familiarity with health insurance administration or clinical/operational healthcare are preferred.
2. Experience building and/or maintaining data dictionaries with demonstrated procedural and technical writing skills.
3. 2+ years of experience supporting analytical and reporting use-cases involving large datasets and/or data warehouses.
4. Ability to read, write, and execute SQL statements.
5. Experience with SQL Server and cloud-based data warehouses such as Snowflake, Microsoft Synapse/Fabric, BigQuery, Redshift, or Databricks preferred.
6. Expert facilitation skills for both large and small group meetings or working sessions.
7. Proven critical thinking, time management, and problem-solving skills.
8. Ability to work collaboratively in a production support team and independently with minimal supervision.
9. Ability to work well under pressure in a fast-paced environment with frequent interruptions and shifting priorities while managing multiple assignments.
10. Strong organizational skills with the ability to plan, prioritize, and meet deadlines.
11. Effective verbal and written communication skills with internal and external partners and stakeholders of varying technical skill levels.

Preferred Skills, Experience & Education:

1. Ability to work with at least one additional language on top of SQL, such as SAS, R, or Python.
2. Familiarity with modern data transformation tools such as dbt or Coalesce preferred.

Primary Functions:

1. Model best practice requirements engineering for all aspects of the development lifecycle activities, including elicitation, analysis, and prioritization of functional and non-functional requirements.
2. Mentor and support junior analysts to ensure alignment with enterprise architecture and strategic objectives.
3. Partner with business and technical leadership to define, validate, and approve detailed functional specifications and acceptance criteria for high-impact initiatives.
4. Proactively identify and source potential Data Science projects based on organizational priorities and EDW capabilities.
5. Author and review technical documentation for enterprise-level systems, ensuring compliance with Data Science standards and influencing documentation best practices.
6. Lead the development of business cases, contingency plans, business metrics and measurements, process models, training materials, new procedures, test scripts, ad-hoc reports, and smart solutioning for process improvements.
7. Participate in the review and approval of system designs, logical data designs, report designs, interface designs, and conversion plans. Review and approve high-level data flows, functional specifications, and implementation plans. Suggest design alternatives as appropriate.
8. Develop, document, and implement test plans, scenarios, and outcomes following Data Science standards to ensure stakeholder requirements are met.
9. Perform post-implementation quality assurance and troubleshooting, ensuring adequate documentation following department standards.
10. Coordinate and collaborate with IT and Corporate project managers on projects involving the EDW.
11. Provide training and communicate system changes to end-users and other impacted staff.
12. Perform ongoing production support, scope bug fixes, and ensure that the resolution of complex issues for critical data-related applications is provided by the dev team to minimize business disruption.
13. Perform other duties as assigned.

Working Conditions:

• Office environment with extensive close PC and keyboard use, constant sitting, and frequent phone communication. Must be able to navigate multiple computer screens. A reliable, high-speed, hard-wired internet connection required to support remote or hybrid work. Must be comfortable being on camera for virtual training and meetings. Work in excess of standard workweek, including evenings and occasional weekends, to meet business need.

Together, we can be more. We can be better.
Moda Health seeks to allow equal employment opportunities for all qualified persons without regard to race, religion, color, age, sex, sexual orientation, national origin, marital status, disability, veteran status or any other status protected by law. This is applicable to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absences, compensation, and training.
For more information regarding accommodations, please direct your questions to Kristy Nehler & Danielle Baker via our humanresources@modahealth.com email.