Analytics Engineer

5+ years of experience in Analytics Engineering, Business Intelligence, or Data Engineering roles.

Advanced SQL skills across major platforms (Snowflake, SQL Server, Oracle, Postgres, etc.).

Strong experience building and maintaining semantic/analytical models, especially dimensional models, star schemas, and KPI frameworks.

Experience with business intelligence tools (e.g., Power BI, Tableau, Looker)

Knowledge of RESTful APIs and experience with tools like Postman or similar

Familiarity with data warehousing concepts and ETL processes

Own the design, build, and optimization of star schemas, data vaults, operational data stores (ODS), and semantic models for analytical and operational workloads.

Own performance tuning, query optimization, and monitoring across the semantic layer.

Own and deliver trusted semantic models that fuel self-service analytics that address company KPIs and help influence better decisions through data driven insights.

Serve as the primary analytics engineering point of contact for business units (Finance, Operations, Commercial, Maintenance, Safety, etc.), owning the translation of their data needs into technical solutions.

Own the translation of business requirements into scalable, analytics-ready datasets aligned to KPIs, metrics definitions, and governance standards.

Define, own, and maintain data modeling standards, glossary, lineage, documentation, and best practices.