Analytics Engineer

Miron Construction • Neenah, WI

1d • Onsite

About The Position

The analytics engineer will design, build, and maintain our data warehouse models. They would also transform raw data into reliable, well-documented datasets that power decision-making across the organization.

Requirements

• 3+ years’ experience with SQL and data modeling.
• Hands-on experience with DBT, SQL, Star schemas, ETL, Power BI.
• Proficiency with cloud data warehouses (Snowflake, BigQuery, Fivetran, or Redshift).
• Strong understanding of dimensional modeling and data warehouse concepts.
• Strong problem-solving skills
• Knowledge of role-based permissions, governance, and security best practices.
• Experience with version control and CI/CD practices.

Responsibilities

• Design and develop DBT models following software engineering best practices.
• Build and maintain scalable data transformations in DBT.
• Design and implement dimensional data models using star and snowflake schemas.
• Build and maintain data transformations that convert operational data into user-friendly datasets.
• Integrate data sources (Forma, Procore, Destini, Docusign, Oracle Fusion, etc.).
• Create data quality tests and monitoring to ensure reliability.
• Create and maintain documentation for data models, business logic, and data history.
• Document data models and maintain clear lineage for stakeholders.
• Monitor and Optimize Snowflake for cost and performance.
• Continue to grow our data governance standards for analytics, access controls, etc.
• Mentor/Coach junior analysts on data modeling, SQL, and analytics best practices.
• Communicate with stakeholders to drive data-informed decisions.

Benefits

• For more information on Miron's culture and benefits, please click on the following link: https://miron-construction.com/join-the-team/office-careers/.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees