In the role of Analytics Engineer 2, we'll count on you to: • Design and develop analytics models aligned to business processes and reporting needs. • Create curated marts and semantic structures that promote reuse and consistent interpretation. • Partner with analysts to translate business questions into durable data models. • Implement models using layered patterns (raw/conformed/curated) and modular SQL design. • Use managed dependencies and reusable components (e.g., shared functions/templates) for standardized patterns and reuse. • Apply incremental strategies where appropriate to improve refresh performance and manage costs. • Define, document, and maintain KPIs/metrics; ensure consistent definitions across reporting surfaces. • Maintain transformation-layer documentation (model/column descriptions) and publish lineage artifacts for impact analysis. • Contribute to governance practices including naming conventions, tagging/metadata, and change management. • Implement automated tests and freshness checks to ensure the reliability of published analytics datasets. • Participate in peer review and CI checks to improve quality and reduce regressions. • Enable stakeholders through documentation, demos, and shared patterns to support adoption. Preferred Qualifications • In depth experience with dbt Cloud or dbt Core with Git integration. • Experience with BI tools (e.g., Power BI, Tableau) and semantic modeling patterns. • Familiarity with CI/CD for analytics models (PR-based testing, documentation builds, promotion). Required Qualifications • Bachelor's degree in Computer Science, Information Systems, Data Engineering, or other applicable degree. • Experience in analytics, BI, or data roles with demonstrated modeling and SQL proficiency. • Ability to translate business requirements into stable, reusable data models. • Familiarity with BI/reporting consumption patterns.