Data Analytics Engineer

· Build, optimize, and govern dashboards and reports in Tableau and Power BI for enterprise use.

· Translate ambiguous business requirements into scalable, reusable BI solutions.

· Automate recurring manual reporting tasks into robust pipelines and dashboards.

· Implement RLS/OLS, usage monitoring, and deployment pipelines for BI platforms.

· Implement data quality testing and monitoring frameworks (dbt tests, Great Expectations, Soda).

· Apply governance standards for KPIs, metadata, lineage, and access controls.

· Document business logic, models, and BI workflows for reuse and auditability.

· Track SLAs/SLOs for key datasets and proactively address data issues before they impact users.

· Partner with business stakeholders (Finance, Marketing, Ops, Revenue) to refine requirements into technical BI solutions.

· Collaborate with data engineers to ensure upstream pipelines support analytic use cases.

· Audit and modernize legacy BI assets for accuracy, reliability, and performance.

· Stay current on modern BI practices (semantic layers, augmented analytics, data catalogs, observability).

· 3–6 years in a BI Engineer / Data Analytics Engineer role (or similar).

· Strong SQL development across Snowflake, Oracle, SQL Server.

· Hands-on BI development experience in Tableau (required) and Power BI (strongly preferred).

· Proven ability to design data models, semantic layers, and governed KPI frameworks.

· Experience applying data governance, validation, and testing practices.

· Familiarity with Git/GitHub workflows, CI/CD pipelines, and code reviews.

· Excellent communication skills for working directly with business leaders and technical teams.

· Experience with dbt or other transformation frameworks.

· Familiarity with Azure Synapse Analytics or Microsoft Fabric Gen 2.

· Exposure to ETL/ELT orchestration (Airflow, SSIS, Azure Data Factory).

· Working knowledge of Python or R for automation or lightweight transformations.

· Experience with metadata/catalog tools (Alation, Collibra, Purview, DataHub).

· Domain experience in hospitality, travel, finance, or consumer industries.

Our Data Engineering & Reporting team is building the next-generation BI platform to power financial transparency, operational excellence, and personalized guest experiences.

As a Data Analytics Engineer, you will be at the heart of this transformation, creating governed, performant, and automated BI assets that serve as the company’s single source of truth.

You’ll work with modern tools and enterprise best practices, enabling business leaders to make better decisions, faster.