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.