Analytics Engineer III

Shaw Plant 72, 900 VD Parrot Parkway, Dalton, GA 30721 USA

Live, first seen by us 47 days ago

Pay: Pay not listedSimilar roles state $122K–$190K
Work setting: Not stated
Employment: Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

Gather requirements from senior business leaders and turn them into data models
Design semantic models, star schemas and data marts for self-service analytics
Build analytic pipelines in Databricks that turn large data sets into analytics-ready assets
Create Power BI dashboards and visualizations for informed decisions
Coach analysts and business users on visualization and model reuse

From the employer’s posting

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.

Coach and mentor analysts and business users in best practices for data visualization, model reuse, and analytic thinking.

What you’ll bring

All qualifications

Core experience

Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Business, or a related field.
Strong communication skills with the ability to translate complex technical concepts into business context.
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
2–5+ years of experience delivering modern analytics solutions using Power BI, Databricks, and strong data modeling practices.
Ability to work cross-functionally in a highly collaborative environment.
Experience working in or supporting business analytics teams within a large enterprise environment.

Qualification wording

Bachelor’s degree in Computer Science, Data Analytics, Information Systems, Business, or a related field.

Strong communication skills with the ability to translate complex technical concepts into business context.

8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM

2–5+ years of experience delivering modern analytics solutions using Power BI, Databricks, and strong data modeling practices.

Ability to work cross-functionally in a highly collaborative environment.

Experience working in or supporting business analytics teams within a large enterprise environment.

Education & alternatives

Qualifications: - 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.

Apply at Shawinc

Posting record

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Status in our records: Live
First seen by us: Sep 17, 202647 days ago
Recorded sightings: 110
Last seen by us: Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$122K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 321 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 47

Similar jobs usually come down between day 6 and day 47.

From 1,409 similar postings that came down. Coming down is not always a hire.

Shawinc is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring is picking up

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
R
SQL
Azure
Databricks
Delta Lake
Power BI
Power Query

Where the posting names them

- 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.

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).

- 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).

- 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.

Shaw Industries Group, Inc. is a leader in flooring and other surface solutions designed for residential housing, commercial spaces and outdoor environments. Leveraging strengths in design, innovation and operational excellence, the company takes a people-centered, customer-focused, and growth-minded approach to meet diverse market needs. It creates differentiated customer experiences through its expansive portfolio of brands: Anderson Tuftex, COREtec, Shaw Floors, Patcraft, Philadelphia Commercial, Shaw Contract, Shaw Sports Turf, Shawgrass, Southwest Greens, Watershed Geo and more. Headquartered in Dalton, Georgia, Shaw is a wholly owned subsidiary of Berkshire Hathaway, Inc. with more than $6 billion in annual sales and 18,000 associates worldwide. 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.

- 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.

- 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:

- 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. - Experience working in or supporting business analytics teams within a large enterprise environment.

- 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.

- 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.

- 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.

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

Job Title

Analytics Engineer III

Position Overview

Shaw Industries Group, Inc. is a leader in flooring and other surface solutions designed for residential housing, commercial spaces and outdoor environments. Leveraging strengths in design, innovation and operational excellence, the company takes a people-centered, customer-focused, and growth-minded approach to meet diverse market needs. It creates differentiated customer experiences through its expansive portfolio of brands: Anderson Tuftex, COREtec, Shaw Floors, Patcraft, Philadelphia Commercial, Shaw Contract, Shaw Sports Turf, Shawgrass, Southwest Greens, Watershed Geo and more. Headquartered in Dalton, Georgia, Shaw is a wholly owned subsidiary of Berkshire Hathaway, Inc. with more than $6 billion in annual sales and 18,000 associates worldwide.

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.

Qualifications:

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.
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:

Coach and Support
Build Customer Satisfaction
Innovate
Initiate Action

Location: Dalton, GA. Candidates must be within driving distance of Dalton, GA.

Structure: Hybrid

#ShawIND

#LI-AK1

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.

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