Analytics Engineer

About This Role

The Analytics Engineer will build both the data pipelines and the reports, sitting at the center of the company's data to model it, move it, and transform it into daily dashboards. This genuinely blended role dedicates roughly half the time to building and maintaining the data foundation and half to delivering analytics and reporting. You will work closely with operations, sales, and finance teams to understand their needs and provide actionable insights.

Responsibilities

• Write, tune, and maintain performant SQL to transform raw data into clean, well-documented models
• Design and build Power BI datasets, reports, and dashboards, ensuring they are accurate, fast, and easy to use
• Own data quality: validate sources, catch issues early, and build checks to maintain data trustworthiness
• Partner with operations, sales, and finance to translate business questions into data models and reporting
• Build and maintain data integrations, pulling from source systems and automating data flows for reporting
• Document models, metrics, and definitions to establish a single source of truth across the company

Requirements

• 3–5 years of experience in analytics engineering, BI development, data analysis, or a similar data-focused role
• Strong SQL skills, including writing clean, efficient queries and comfort with joins, window functions, and data modeling
• Strong Power BI skills, including building data models, DAX measures, and polished, reliable dashboards
• A builder’s mindset, with a focus on accuracy, documentation, and making data usable for non-technical teammates
• Legally authorized to work in the United States without current or future employer-sponsored visa support

Nice to have:

• Experience working in a Microsoft-centered technology environment, particularly with Microsoft SQL Server and the broader Microsoft data and application ecosystem
• Familiarity with .NET applications and architectures, including understanding how application data is structured, generated, and exposed for integrations and reporting
• Hands-on experience building integrations and automated data flows using Azure services such as Azure Data Factory, Azure Logic Apps, Azure Functions, and APIs or webhooks
• Experience working with Azure Cosmos DB or other NoSQL data stores, and modeling that data for analytics and reporting
• A working understanding of the Salesforce data model (objects, relationships, and how to pull and model CRM data reliably)
• Familiarity with version control (Git), data warehousing concepts, and modern ELT tooling
• Experience in hospitality, real estate, travel, or another operations-heavy industry

Benefits