Explore Opportunities

Information Technology

Houston, TX

Analytics Engineer

Houston, TX

Analytics Engineer

Apply Now

The Job was shared succesfully!

Share Job

Apply Now

Share Job

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 proto@types 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 proto@types.

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 proto@types 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:

Come build your future with our winning team, recognized by Fortune Magazine as one of the "100 Best Companies to Work For" 19 times! David Weekley Homes builds in 19 markets across the U.S. and is one of the largest private home builders in America.

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!

David Weekley Homes is an Equal Opportunity Employer (https://careers.davidweekleyhomes.com/eeo) , and all qualified applicants will receive consideration for employment without regard to any status protected by state or federal law.

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.

David Weekley Home

Latest Jobs

Analytics Engineer