Job Title
Analytics Engineer
Position Overview
Shaw Industries is seeking an Analytics Engineer to join our Residential Enablement and Insights team in Dalton, GA. This role sits at the intersection of business strategy, advanced analytics, and data engineering — with a strong emphasis on data modeling, Power BI, and Databricks.
As an Analytics Engineer, you will design and implement scalable, trusted data models and visualization tools that drive strategic decision-making across our Residential Sales and Marketing organizations. The ideal candidate will blend technical depth with business insight, playing a critical role in enabling data self-service and modern analytics practices across Shaw. This position operates in a hybrid work environment with 1 - 3 days in Dalton, GA.
Design, develop, and maintain data models, including semantic layers, star schemas, and data marts, to enable reliable and scalable self-service analytics.
Develop clear, actionable visualizations and dashboards (e.g., Power BI) that enable users to explore data, uncover insights, and drive informed decisions.
Collaborate with Data Engineering and cross-functional teams to ensure data quality, integrity, and performance, and to support adherence to data governance standards.
Apply and promote best practices in data modeling, analytics engineering, and dashboard design, contributing to consistent and effective data solutions.
Contribute to the documentation, standardization, and ongoing improvement of data assets, including data models, datasets, and metadata.
Continuously expand knowledge of analytics tools, technologies, and data architecture, and apply new capabilities to improve solutions and processes.
Technical Skills & Experience:
Experience using SQL to query, transform, and analyze data, and familiarity with designing logical and physical data models that support scalable analytics.
Experience building reports and dashboards in Power BI, including working with capabilities such as DAX, Power Query, dataflows, and data security concepts (e.g., row-level security).
Some experience working with Databricks (preferably in a cloud environment such as Azure) to process, transform, and model data using notebooks and modern storage formats (e.g., Delta Lake).
Understanding of data pipeline concepts, including ETL/ELT processes, orchestration, and data lake architectures (e.g., Azure Data Lake).
Interest in continuous learning, especially in areas of machine learning, AI, and advanced analytics.
Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Business, or a related field.
Competencies:
Role can be filled at a Level 1 or 2:
Location: Dalton, GA
Seeking candidates that are currently local to the Northern Georgia, Southern Tennessee area. Candidate is required to come into the Dalton office minimally once a week.
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Work Shift
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.
