Sr Data Science Business Systems Analyst

Lets 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 were 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. Lets be better together.

Position Summary
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.

Pay Range
$91528.82 - $119013.51 annually (depending on experience)
*This role may be classified as hourly (non-exempt) depending on the applicants 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.

Dental Vision Pharmacy Life & Disability

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 preferred.
2. 2 years of experience supporting analytical and reporting use-cases involving large datasets and/or data warehouses.
3. 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.
4. Experience with SQL Server and cloud-based data warehouses such as Snowflake Microsoft Synapse/Fabric BigQuery Redshift or Databricks preferred.
5. Familiarity with modern data transformation tools such as dbt or Coalesce preferred.
6. Experience building and/or maintaining data dictionaries with demonstrated procedural and technical writing skills.
7. Expert facilitation skills for both large and small group meetings or working sessions.
8. Proven critical thinking time management and problem-solving skills.
9. Ability to work collaboratively in a production support team and independently with minimal supervision.
10. Ability to work well under pressure in a fast-paced environment with frequent interruptions and shifting priorities while managing multiple assignments.
11. Strong organizational skills with the ability to plan prioritize and meet deadlines.
12. Effective verbal and written communication skills with internal and external partners and stakeholders of varying technical skill levels.

Primary Functions:

1. Perform ongoing production support scope bug fixes and ensure resolution of complex issues for critical data-related applications to minimize business disruption.
2. Model best practice requirements engineering for all aspects of development lifecycle activities including elicitation analysis and prioritization of functional and non-functional requirements.
3. Mentor and support junior analysts to ensure alignment with enterprise architecture and strategic objectives.
4. Partner with business and technical leadership to define validate and approve detailed functional specifications and acceptance criteria for high-impact initiatives.
5. Proactively identify and source potential Data Science projects based on organizational priorities and EDW capabilities.
6. Author and review technical documentation for enterprise-level systems ensuring compliance with Data Science standards and influencing documentation best practices.
7. 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.
8. 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.
9. Develop document and implement test plans scenarios and outcomes following Data Science standards to ensure stakeholder requirements are met.
10. Perform post-implementation quality assurance and troubleshooting ensuring adequate documentation following department standards.
11. Coordinate and collaborate with IT and Corporate project managers on projects involving the EDW.
12. Provide training and communicate system changes to end-users and other impacted staff.
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. Must be able to adjust schedule to accommodate production support needs project schedules and peak work periods.
• Internally with all levels of Moda personnel and business units. Externally with vendors consultants and contractors.

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 email.