Analytics Engineer III
Analytics Engineer III
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Job Description
Job Title
Analytics Engineer IIIPosition Overview
Location: Dalton GA
Shaw Industries is seeking an experienced Analytics Engineer III 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.
Key Responsibilities:
Partner with senior business leaders (DVPs VPs Directors) to gather requirements and translate them into scalable data models and analytic frameworks.
Design develop and maintain semantic models star schemas and data marts to support self-service analytics.
Build and deploy advanced analytic pipelines using Databricks transforming large and complex data sets into analytics-ready assets.
Create clear actionable visualizations and dashboards using Power BI enabling users to uncover insights and make informed decisions.
Collaborate with Data Engineering to ensure data integrity optimize pipeline performance and enforce data governance standards.
Provide subject matter expertise in Power BI development data modeling practices and dashboard UX.
Coach and mentor analysts and business users in best practices for data visualization model reuse and analytic thinking.
Contribute to the development of enterprise data standards catalogs and metadata documentation.
Stay current with evolving technologies in analytics cloud computing and data engineering especially Databricks Power BI and modern data architectures.
Technical Skills & Experience:
Advanced knowledge of SQL and experience designing scalable logical and physical data models.
Expert-level proficiency in Power BI (DAX Power Query dataflows custom visuals row-level security).
Proven experience working with Databricks (preferably on Azure) to process and model data using notebooks and Delta Lake.
Strong understanding of data pipeline orchestration ETL and data lake architectures (Azure Data Lake).
Familiarity with Python or R for advanced analytics and automation tasks.
Experience working with version control (e.g. Git) and implementing DataOps or CI/CD practices.
Core Competencies:
Strong communication skills with the ability to translate complex technical concepts into business context.
Excellent problem-solving and analytical thinking skills.
Ability to work cross-functionally in a highly collaborative environment.
Interest in continuous learning especially in areas of machine learning AI and advanced analytics.
Passion for creating clean reusable and well-documented data assets.
Qualifications:
Bachelors degree in Computer Science Data Analytics Information Systems Business or a related field.
25 years of experience delivering modern analytics solutions using Power BI Databricks and strong data modeling practices.
Experience working in or supporting business analytics teams within a large enterprise environment.
Core Competencies:
Strong communication skills with the ability to translate complex technical concepts into business context.
Excellent problem-solving and analytical thinking skills.
Ability to work cross-functionally in a highly collaborative environment.
Interest in continuous learning especially in areas of machine learning AI and advanced analytics.
Passion for creating clean reusable and well-documented data assets.
Leadership Competencies:
Learning Agility
Conceptual Thinking
Receptivity to Feedback
Passion for Results
Work Shift
8 Hr non-rotating shift Hrs fall to in punch day Observed Calendar shift starts AMEmployment Type
Full-Time
