Shaw Industries, Inc

Analytics Engineer

Shaw Industries, Inc$70K — $95K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Data Analytics, Information Systems, Business, or a related field.
  • Experience delivering modern analytics solutions using Power BI, Databricks, and data modeling practices or relevant college coursework.
  • Familiarity with SQL for querying, transforming, and analyzing data.
  • Some experience with Databricks and understanding of data pipeline concepts (ETL/ELT) and data lake architectures.
  • Familiarity with programming languages like Python or R and version control systems like Git.

Responsibilities

  • Partner with business stakeholders to gather requirements for data models and analytic solutions.
  • Design, develop, and maintain scalable data models and semantic layers.
  • Build and maintain data pipelines using Databricks to prepare analytics-ready datasets.
  • Develop clear and actionable dashboards in Power BI for data exploration.
  • Collaborate with cross-functional teams to ensure data quality and governance adherence.
  • Apply best practices in data modeling and analytics engineering consistently.
  • Contribute to documentation and standardization of data assets.

Benefits

  • Hybrid work environment with flexibility in days worked remotely.
  • Opportunities for continuous learning in analytics and advanced technologies.
  • Support for collaborative development practices.
  • Focus on team learning, documentation, and adoption of best practices.
  • Work in a highly collaborative atmosphere with cross-functional teams.
Full Job Description

Job Title

Analytics Engineer

Position Overview

Shaw Industries is seeking anAnalytics 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 1 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 positionoperatesin a hybrid work environmentwith 1-3 days in Dalton, GA.

Key Responsibilities:

  • Partner with business stakeholders to gather requirements and translate them into scalable data models and analytic solutions that support decision-making.

  • Design, develop, andmaintaindata models, including semantic layers, star schemas, and data marts, to enable reliable and scalable self-service analytics.

  • Build andmaintaindata pipelines using modern data platforms (e.g., Databricks), transforming raw and complex data into analytics-ready datasets.

  • 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.

  • Share knowledge and support the development of others by contributing to team learning, documentation, and adoption of analytics best practices.

  • Contribute tothe 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 ofdata pipeline concepts, including ETL/ELT processes, orchestration, and data lake architectures (e.g., Azure Data Lake).

  • Familiarity with programming languages such as Python or R for data transformation, automation, and analytical tasks.

  • Some experience working with version control systems (e.g., Git) and familiarity with collaborative development practices such asDataOpsor CI/CD.

Core Competencies:

  • Strong communicationskills with the ability to translate complex technical concepts intobusinesscontext.

  • Excellent problem-solving and analytical thinking skills.

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

  • Interestin continuous learning, especially in areas of machine learning, AI, and advanced analytics.

  • Passion for creating clean, reusable, and well-documented data assets.

Required Qualifications:

  • Bachelor9s degree in Computer Science, Data Analytics, Information Systems, Business, ora relatedfield.

  • Experience delivering modern analytics solutions using Power BI, Databricks, and data modeling practices OR applicable college course work

Preferred:

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

Competencies:

  • Learn Continuously,

  • Build Trusting Relationships

  • Execute Action Plan

  • Build Customer Satisfaction

  • Initiate Action

Role can be filled at a Level 1 or 2:

  • Level1lessthan 2years in Analytics

  • Level2is2+ years of experienceinAnalytics

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.

#ShawIND

#LI-AK1

Work Shift

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

About Shaw Industries, Inc

Shaw Industries, Inc. is a leading manufacturer of flooring products, including carpet, hardwood, laminate, and tile. The company was founded in 1946 and is headquartered in Dalton, Georgia. Shaw Industries operates manufacturing facilities in the United States, Canada, Mexico, and China, and sells its products through a network of retailers and distributors. The company is committed to sustainability and has implemented a number of initiatives to reduce its environmental impact, including using recycled materials in its products and reducing energy consumption in its manufacturing processes. Shaw Industries is a subsidiary of Berkshire Hathaway, Inc.
Learn more about Shaw Industries, Inc
Size
20,000 employees
Industry
Founded
1967

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