Analytics Engineer III

Shaw Industries

Confirmed live yesterday High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Dalton, GA
Posted
4 days ago
Freshness
Confirmed live yesterday

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Salary context

How this pay compares to similar roles

Similar $164k
$108k most similar roles pay here $201k

This listing doesn't post a salary. Most similar roles pay $137,251–$190,075.

Based on 240 similar postings.

Employer

About Shaw Industries

Shaw Industries is one of the world''s largest carpet manufacturers and a leading flooring company, producing broadloom carpet, area rugs, hardwood, laminate, and luxury vinyl flooring. Industry: Flooring Manufacturing

Shaw Industries currently has 2 open roles on FindRole.

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At a glance

TL;DR · Analytics Engineer III

The Analytics Engineer III joins the Residential Enablement and Insights team to bridge business strategy, advanced analytics, and data engineering. This role focuses on designing and implementing scalable data models, semantic models, star schemas, and data marts to support self-service analytics for Residential Sales and Marketing organizations. The successful candidate will build and deploy analytic pipelines using Databricks, transform complex datasets into usable assets, and create actionable visualizations in Power BI. Key technical requirements include expert proficiency in SQL, DAX, Power Query, and Delta Lake, along with experience in Python or R for automation. The role involves collaborating with Data Engineering to ensure data integrity while mentoring others on visualization best practices. This position solves the challenge of translating complex technical concepts into business context within a large enterprise environment using modern data architectures.

What you'll do

  • Translate business requirements from senior leaders into scalable data models and analytic frameworks.
  • Design and maintain semantic models, star schemas, and data marts to support self-service analytics.
  • Build and deploy advanced analytic pipelines using Databricks to transform complex datasets into ready assets.
  • Create actionable visualizations and dashboards in Power BI to drive strategic decision-making.
  • Collaborate with Data Engineering to ensure data integrity and optimize pipeline performance.
  • Coach and mentor analysts on best practices for data visualization and model reuse.
  • Develop enterprise data standards, catalogs, and metadata documentation.

What we're looking for

  • Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Business, or a related field.
  • 2–5+ years of experience delivering modern analytics solutions using Power BI, Databricks, and strong data modeling practices.
  • Advanced knowledge of SQL and experience designing scalable logical and physical data models.
  • Expert-level proficiency in Power BI including DAX, Power Query, dataflows, custom visuals, and 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.
  • 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.

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