Job Description

The Analytics Engineer will 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.