Data Analytics Engineer

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Description

Own end‑to‑end delivery of advanced Power BI reporting solutions. Work closely with business, data engineering, and operations to turn requirements into robust, governed, and supportable analytics products that follow our internal design standards. Key Responsibilities Collaborate with business stakeholders to clarify requirements and translate them into report designs, KPIs, and user stories. Design and build enterprise‑grade Power BI reports and dashboards, aligned with internal UX/design standards and reusable components. Define the semantic layer: translate business needs into measures, calculations, and dimensional models; propose and validate the underlying data model. Work with data engineers to translate semantic/model requirements into source data structures, data pipelines, and transformations. Collaborate with Operations to define SLAs, monitoring, and validation points (data quality checks, reconciliation rules, alerting). Develop complex DAX measures, calculation logic, and row‑/object‑level security; ensure accuracy, performance, and consistency. Optimize dataset and report performance (model design, aggregations, indexing, partitioning, incremental refresh, query tuning). Use Git‑based workflows (branches, pull requests, code reviews) and CI/CD pipelines to version, test, and deploy Power BI assets. Contribute to and enforce standards: modeling conventions, naming, folder structures, documentation, and governance practices. Work as an active member of a Scrum t

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