Sr Data Science Business Systems Analyst

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.

The Senior Data Science BSA gathers and documents business requirements related to 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.

$91,528.82 - $ annually (depending on experience)

Note:

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.

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

• 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 preferred.
• 2+ years of experience supporting analytical and reporting use‑cases involving large datasets and/or data warehouses.
• Ability to read, write and execute SQL statements required, with ability to work with at least one additional language such as SAS, R, or Python preferred.
• Experience with SQL Server and cloud‑based data warehouses such as Snowflake, Microsoft Synapse/Fabric, Big Query, Redshift, or Databricks preferred.
• Familiarity with modern data transformation tools such as dbt or Coalesce preferred.
• Experience building and/or maintaining data dictionaries with demonstrated procedural and technical writing skills.
• Expert facilitation skills for both large and small group meetings or working sessions.
• Proven critical thinking, time management, and problem‑solving skills.
• Ability to work collaboratively in a production support team and independently with minimal supervision.
• Ability to work well under pressure in a fast‑paced environment with frequent interruptions and shifting priorities while managing multiple assignments.
• Strong organizational skills with the ability to plan, prioritize, and meet deadlines.
• Effective verbal and written communication skills with internal and external partners and stakeholders of varying technical skill levels.

• Perform ongoing production support, scope bug fixes, and ensure resolution of complex issues for critical data‑related applications to minimize business disruption.
• Model best practice requirements engineering for all aspects of development lifecycle activities including elicitation, analysis, and prioritization of functional and non‑functional requirements.
• Mentor and support junior analysts to ensure alignment with enterprise architecture and strategic objectives.
• Partner with business and technical leadership to define, validate, and approve detailed functional specifications and acceptance criteria for high‑impact initiatives.
• Proactively identify and source potential Data Science projects based on organizational priorities and EDW capabilities.
• Author and review technical documentation for enterprise‑level systems ensuring compliance with…