Analytics Engineer

The Atchison Group Inc.•,

8d•$90,000 - $95,000•Remote

About The Position

National Corporate Housing is seeking an Analytics Engineer to join their team. This role is central to managing and utilizing the company's data. The Analytics Engineer will be responsible for modeling, moving, and transforming data into usable dashboards and reports for various teams. The position involves a blend of building and maintaining the data foundation and delivering analytics and reporting on top of it. The ideal candidate will collaborate with operations, sales, and finance teams to understand their needs and provide actionable insights.

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 reliable dashboards.
A builder’s mindset with a focus on accuracy, documentation, and making data usable for non-technical teammates.
Clear communication skills and the ability to work independently in a remote, collaborative environment.

Nice To Haves

Experience in a Microsoft-centered technology environment, particularly with Microsoft SQL Server.
Familiarity with .NET applications and architectures, including understanding application data structure.
Hands-on experience with Azure services like Azure Data Factory, Azure Logic Apps, Azure Functions, and APIs or webhooks.
Experience working with Azure Cosmos DB or other NoSQL data stores.
A working understanding of the Salesforce data model.
Familiarity with version control (Git), data warehousing concepts, and modern ELT tooling.
Experience in hospitality, real estate, travel, or another operations-heavy industry.

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 accuracy, speed, and ease of use.
Own data quality by validating sources, identifying issues, and implementing checks for trustworthy data.
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 for the company.

Benefits

Competitive Salary ($90,000-$95,000 Base Salary)
Medical, dental, and vision insurance options
401k plan with discretionary match
Company paid life insurance, short term disability, and long term disability
Supplemental life insurance, critical illness, accident, and identity theft protection
Inclusive Awards and Recognition Program
Vacation, sick, and floating holidays
Paid time off
Paid volunteer time
Wellness program
Complimentary use of corporate apartments for vacation or travel (when available)