Analytics Engineer

David Weekley Homes

$90K — $120K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in analytics engineering or data science.
  • Proficient in Python and SQL for building workflows and models.
  • Hands-on experience with Snowflake as an analytics platform.
  • Skilled in developing predictive models translating them into actionable business insights.
  • Strong communication skills with business partners for problem definition and solution delivery.
  • Knowledge of data governance and responsible data use practices.
  • Experience moving prototypes into production solutions collaboratively.

Responsibilities

  • Collaborate with data engineers on analytics-ready data models and transformations.
  • Contribute to validation logic and data quality checks.
  • Develop statistical and machine learning techniques for business problems.
  • Build models and analytical prototypes using Python and SQL.
  • Partner with teams to implement AI-driven insights in reports and applications.
  • Prepare data for GenAI, ensuring quality and guardrails.
  • Communicate analytical results to diverse audiences through visuals and summaries.

Benefits

  • Health Insurance - Medical, Dental, and Vision
  • 401k with an 8% discretionary match
  • Employee Stock Ownership Plan
  • Profit Sharing
  • Vacation and Paid Holidays plus PTO
  • New Home Discount for Team Member and Family
  • College Scholarship Program
  • Community Outreach opportunities
  • Sabbatical benefits
  • And more!
Full Job Description
David Weekley Homes is seeking an Analytics Engineer to design, build, and deliver advanced analytics and AI-enabled solutions that turn our enterprise data, centered in Snowflake, into trusted, business-ready insights and decision support tools.
  • Collaborate with data engineers to design and refine analytics-ready data models, transformations, and semantic layers in Snowflake.
  • Contribute to data quality checks, validation logic, and usability standards for downstream analytics and AI use cases.
  • Develop and apply statistical, predictive, and machine-learning techniques to business problems.
  • Build and evaluate features, models, and analytical prototypes using Python, SQL, and Snowflake-native capabilities.
  • Partner with internal teams or vendors to operationalize models and AI-driven insights into reports, dashboards, or lightweight applications.
  • Support GenAI and retrieval-augmented (RAG) by preparing high-quality data, defining guardrails, and validating outputs for business use.
  • Work directly with business stakeholders to translate business questions into analytical approaches.
  • Communicate results to technical and non-technical audiences through visuals, summaries, and working prototypes.
  • Follow standards for version control, documentation, and reproducibility.
  • Contribute to data governance practices related to lineage, access controls, and responsible AI use.
  • Coordinate with vendors and internal teams to ensure deliverables meet quality and business expectations


Qualifications
  • 5-7 years of experience in analytics engineering, advanced analytics, data science, or a closely related role.
  • Strong proficiency in Python and SQL, with experience building analytical workflows and models.
  • Hands-on experience working with Snowflake as an analytics platform.
  • Experience developing predictive or statistical models and translating results into business insights.
  • Comfort working closely with business partners to define problems, scope solutions, and deliver actionable outcomes.
  • Working knowledge of data governance, security concepts, and responsible data use.
  • Proven ability to collaboratively move analytical prototypes into repeatable, production-supported solutions.

Preferred Skills and Experience:
  • Experience in homebuilding, construction, real estate, manufacturing, or related industries.
  • Exposure to GenAI or RAG-style analytics applications.
  • Familiarity with Snowflake-native advanced analytics or AI capabilities.
  • Experience collaborating with vendors or external partners on analytics or AI initiatives.


Additional Information

Work Location: This position is based at our Houston headquarters, near I-10 Katy Freeway & 610 W. Loop N. Fwy.

Important Note: We do not offer sponsorship for work Visas.

What We Offer:

We offer an excellent benefits package that includes:
  • Health Insurance - Medical, Dental and Vision
  • 401k and discretionary 8% match
  • Employee Stock Ownership Plan
  • Profit Sharing
  • Vacation, Paid Holidays, plus PTO
  • New Home Discount for Team Member and Family
  • College Scholarship Program
  • Community Outreach
  • Sabbaticals
  • And more!

Note to Job Seekers: No telephone calls or walk-ins please. Interviews are by appointment only. Your resume will be reviewed and qualified candidates may be contacted in the event of a potential job match, or if further information is needed.

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