Data Analytics Engineer
About The Position
At AmaWaterways, we believe meaningful careers begin with purpose, passion and a shared commitment to delivering unforgettable experiences. For those who value curiosity, connection and personal enrichment, AmaWaterways offers the opportunity to help craft meaningful river journeys that invite travelers to follow their own current. Built on a foundation of heartfelt hospitality, we treat our guests—and each other—with genuine care, warmth and respect. AmaWaterways fosters a collaborative environment both onboard our ships and across our global network of offices, where team members grow together, support one another and take pride in upholding the high standards and thoughtful service our company is known for. We invite talented, motivated professionals to explore our career opportunities and begin their journey with AmaWaterways today. Role Summary AmaWaterways is seeking a Data Analytics Engineer to design, build, and scale the analytics layer that enables leaders across Marketing, Finance, Operations, Revenue Management, and Reservations to make data-driven decisions with confidence. This role engineers governed data models, semantic layers, and high-performing BI assets on top of Snowflake, SQL Server (SSMS), and Oracle, delivered through Tableau and Power BI. The engineer will apply software engineering practices to analytics, version control, CI/CD, testing, documentation, ensuring consistency, trust, and automation across the BI ecosystem. 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.
Requirements
- 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.
Nice To Haves
- 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.
Responsibilities
- Develop and maintain analytics-ready data models and marts in Snowflake and SQL Server.
- Build and optimize semantic layers / governed KPI frameworks (dbt, metrics layers, semantic modeling).
- Write and optimize SQL (window functions, CTEs, partitioning, clustering) for high-performance reporting workloads.
- Apply data modeling best practices (star schema, snowflake schema, medallion/lakehouse).
- 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).
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
