Quantitative Analyst II
Asurion
ETLSQLTableau
Lead Analytics Engineer
Hazel
full-time
Posted on:
Origin: • 🇺🇸 United States • Alabama, Arizona, California, Colorado
Visit company websiteSalary
💰 $165,000 - $195,000 per year
Job Level
Senior
Tech Stack
ETLSQLTableau
About the role
- Design, implement, and maintain scalable data pipelines that transform raw data into clean, documented, and trusted datasets for analytics and machine learning
- Develop and maintain semantic data models to support consistent metric definitions across the business
- Drive standardization of data definitions and ensure cross-functional teams are aligned on a single source of truth
- Partner with analysts, data scientists, and business stakeholders to identify high-value data sets and make them accessible through self-service tools
- Implement testing, observability, and quality frameworks to ensure data accuracy, freshness, and reliability
- Contribute to and maintain data documentation and discovery tools, ensuring stakeholders understand what data exists and how to use it
- Act as a technical mentor for analytics engineers and analysts, helping them adopt best practices for modeling, testing, and performance optimization
- Lead design reviews, set coding standards, and establish scalable workflows for the analytics engineering team
- Drive adoption of modern data stack practices (e.g., dbt, orchestration, CI/CD for data, feature stores for ML)
- Collaborate with product, engineering, and data science leadership to align data platform strategy with business goals
Requirements
- 7+ years in data engineering, analytics engineering, or related roles
- Expertise in SQL and data modeling for analytics (dimensional modeling, star/snowflake schemas, wide tables, feature engineering)
- Strong experience with modern data stack tools: dbt, Snowflake or Databricks, Git-based version control, and CI/CD for data
- Familiarity with BI tools and semantic layers (e.g., Looker, Sigma, Tableau, Power BI)
- Experience integrating with machine learning pipelines and feature stores is a strong plus
- Solid understanding of data warehousing principles, ETL/ELT, and data governance
- Proven track record of building and scaling production-grade data models used by analysts, data scientists, and business stakeholders
- Experience driving cross-functional alignment on metrics and data definitions at a company-wide level
- Prior experience in healthcare, education, or regulated industries is a plus (understanding of HIPAA/FERPA is beneficial)
- Ability to set technical direction and make tradeoffs between scalability, cost, and usability
- Strong communication skills; able to translate complex data concepts into language understandable by leadership and non-technical stakeholders
- Mentorship experience, fostering growth in less-experienced analytics engineers and analysts
- Bias toward automation and reusability—build frameworks, not one-offs
- Must live and work full-time in one of the states listed in the job posting
