Analytics Engineer
On-site · Houston, Texas, United States
Job Summary
Analytics Engineer will design, build, and deliver advanced analytics and AI-enabled solutions that turn enterprise data centered in Snowflake into trusted, business-ready insights and decision support tools. Collaborate with data engineers to design analytics-ready data models, transformations, and semantic layers in Snowflake. Develop and apply statistical, predictive, and machine-learning techniques; 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) analytics by preparing high-quality data, defining guardrails, and validating outputs. Translate business questions into analytical approaches, communicate results to both technical and non-technical audiences, and 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.
Required 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
- Working knowledge of data governance, security concepts, and responsible data use
- Proven ability to collaboratively move analytical prototypes into repeatable, production-supported solutions
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