Senior Business Analyst

Madison, WI Full Time Position Overview This role combines insurance technology knowledge, service catalog and CMDB expertise, observability tooling, and production-grade automation. The work involves helping map complex insurance technology structures into a technical service catalog while improving data quality, matching, and adoption of shared platforms and standards across engineering teams. What You'll Do / Key Responsibilities Apply insurance domain knowledge to understand how insurance carriers structure technology around lines of business and map that structure to a technical service catalog while preserving meaningful business distinctions. Work with Datadog Service Catalog, APM tagging conventions, and monitor configuration. Work with ServiceNow CMDB data, including cmdb_ci_service and relationship tables. Evaluate data quality, matching heuristics, and the reliability and limitations of data across systems. Drive the adoption of shared tooling or standards across engineering teams through incentive design and low-friction onboarding. Support phased, metrics-driven platform or framework rollouts across multiple independent teams. Build and maintain production-grade Python automation for data matching and ETL processes. Develop automation involving fuzzy matching, scoring, and join logic across heterogeneous data sources. Required Qualifications Strong experience in the insurance domain, including understanding how insurance carriers structure technology around lines of business and mapping that structure onto a technical service catalog without flattening meaningful business distinctions. Strong experience with Datadog and ServiceNow. Hands-on experience with Datadog Service Catalog, APM tagging conventions, and monitor configuration. Experience with ServiceNow CMDB, including cmdb_ci_service and relationship tables, with the ability to reason about data quality, matching heuristics, and where each system's data can and cannot be trusted. Strong experience rolling out platform or framework adoption, including helping engineering teams adopt shared tooling or standards through incentive design and low-friction onboarding. Experience running phased, metrics-driven rollouts across multiple independent teams. Strong experience in Python and automation. Ability to build and maintain production-grade data-matching and ETL pipelines involving fuzzy matching, scoring, and join logic across heterogeneous sources. Preferred Qualifications Experience with GitLab, including CI Visibility and project/group tagging. Experience with Backstage or similar internal developer portals. Familiarity with service dependency mapping. Familiarity with system-of-record and provenance patterns in a catalog or CMDB context. #J-18808-Ljbffr