Data Science Business Systems Analyst

Moda Health•Portland, OR

9d•Remote

About The Position

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.

Requirements

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.
Experience building and/or maintaining data dictionaries with demonstrated procedural and technical writing skills.
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.
Experience with SQL Server and cloud-based data warehouses such as Snowflake, Microsoft Synapse/Fabric, BigQuery, Redshift, or Databricks preferred.
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.

Nice To Haves

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

Responsibilities

Model best practice requirements engineering for all aspects of the 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 Data Science standards and influencing documentation best practices.
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.
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.
Develop, document, and implement test plans, scenarios, and outcomes following Data Science standards to ensure stakeholder requirements are met.
Perform post-implementation quality assurance and troubleshooting, ensuring adequate documentation following department standards.
Coordinate and collaborate with IT and Corporate project managers on projects involving the EDW.
Provide training and communicate system changes to end-users and other impacted staff.
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.
Perform other duties as assigned.