Analytics Engineer: Data Modeling & Dashboards

Shaw Industries Group; Florida; Hybrid; USD 90,000 - 130,000; Full time

Job summary

Shaw Industries Group, Inc. in Dalton, GA is seeking an Analytics Engineer to join the Residential Enablement and Insights team. The role blends business strategy, advanced analytics, and data engineering with a focus on data modeling and Databricks to enable self-service analytics and trusted datasets.

You will design scalable data models, collaborate with cross-functional teams, and drive best practices in analytics across Shaw. Hybrid work with 1–3 days in Dalton.

Qualifications

• Experience building reports and dashboards in Power BI with DAX, Power Query and data security concepts.
• Experience with Databricks in a cloud environment to process, transform, and model data.
• Understanding of ETL/ELT, data lake architectures, and data pipelines.
• Proficiency in Python or R for data transformation and automation.
• Experience with version control and DataOps/CI/CD practices.
• Strong SQL skills to query and model data for analytics.

Responsibilities

• Partner with stakeholders to translate requirements into scalable data models and analytic solutions.
• Design, develop, and maintain data models, semantic layers, star schemas, and data marts.
• Build and maintain data pipelines using Databricks and related platforms.
• Collaborate with Data Engineering to ensure data quality, governance, and performance.
• Promote best practices in data modeling, analytics engineering and dashboard design.
• Document, share knowledge, and contribute to team learning and data assets.

Skills

SQL

Python

Data modeling

ETL/ELT

Power BI

Data governance

Git

Education

Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business, or related field

Tools

Databricks

Azure Data Lake

Azure

Job description

Shaw Industries Group, Inc. in Dalton, GA is seeking an Analytics Engineer to join the Residential Enablement and Insights team. The role blends business strategy, advanced analytics, and data engineering with a focus on data modeling and Databricks to enable self-service analytics and trusted datasets.

You will design scalable data models, collaborate with cross-functional teams, and drive best practices in analytics across Shaw. Hybrid work with 1–3 days in Dalton.