Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 2 days ago

Data Analytics Engineer

shawinc33 open roles

Where
Shaw Plant 72, 900 VD Parrot Parkway, Dalton, GA 30721 USA
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowData Analytics Engineershawinc · Shaw Plant 72, 900 VD Parrot Parkway, Dalton, GA 30721 USA

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on shawinc's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.3% of postings close within 7 days. Measured by our own scanner across the market. shawinc postings stay open a median of 14 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.6%3 days
  3. 13.3%7 days
  4. 21.3%14 days
  5. 35.7%30 days
  6. 59.1%60 days
This job: posted 2 days ago

shawinc median: 14 days open

The posting

Job Title

Data Analytics Engineer

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.

Location: Dalton, GA

This position operates in a hybrid work environment with 1 - 3 days in Dalton, GA.

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 and Databricks. As an Analytics Engineer, you will design and implement scalable, trusted data models for use in 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.

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, and maintain data models, including semantic layers, star schemas, and data marts, to enable reliable and scalable self-service analytics.
  • Build and maintain data pipelines using modern data platforms (e.g., Databricks), transforming raw and complex data into analytics-ready datasets.
  • 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 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 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).
  • 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 as DataOps or CI/CD.

Required Qualifications:

  • Experience using SQL to query, transform, and analyze data, and familiarity with designing logical and physical data models that support scalable analytics.
  • Bachelor’s degree in computer science, Data Analytics, Information Systems, Business, or a related field.

Strongly preferred:

  • Experience delivering modern analytics solutions using Power BI, Databricks, and data modeling practices.
  • Experience in PowerBI, GIT, Azure/Data Lake
  • 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.

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.

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against shawinc's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on shawinc's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    shawinc's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.