Staff Analytics Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Staff Analytics Engineer (AI): Architecting and leading the analytics foundation powering data ecosystem and data products with an accent on data architecture, analytics engineering, and practical machine learning applications. Focus on customer-facing reporting, dashboards, and analytics features, machine learning solutions for recommendations, forecasting, anomaly detection, and predictive insights that enhance product intelligence.
Location: Remote - USA
Salary: $183,000 - $225,000 per year
Company
provides the first and only client experience platform for appointment-based, self-care businesses.
What you will do
- Design, build, and maintain foundational data models that serve as the single source of truth for analytics.
- Partner with Product, Engineering, and Analytics teams to scope and deliver new initiatives and create data-driven customer experiences.
- Develop frameworks, tools, and workflows that enhance efficiency and scalability, ensuring high standards of data quality, consistency, and performance.
- Translate business requirements into scalable data models, dashboards, and analytical tools; identify opportunities for anomaly detection, predictive analytics, and AI-driven innovation.
- Lead complex data initiatives by transforming ambiguous business needs into scalable architectures, pipelines, and analytical models.
Requirements
- Bachelor’s degree or higher in Computer Science, Information Technology, Data Science, or a related discipline
- 8+ years of professional experience in the data domain — including roles such as Analytics Engineer, Data Engineer, Data Scientist, or similar
- Proven track record of delivering customer-facing reporting, dashboards, and analytics capabilities in partnership with Product teams
- Deep expertise with modern data stack technologies such as dbt, Snowflake, SQL, Python, and Looker/Omni
- Strong understanding of modular and reusable data modeling best practices (e.g., star and snowflake schema design)
- Comprehensive knowledge of data governance, data quality frameworks, and analytics/security best practices
Culture & Benefits
- 401(k) match plus dental, medical, vision, and life insurance.
- Flexible vacation day policy.
- Fully remote with a work from home stipend every month.
- Family planning resources and specialized support programs.
- Equity participation.
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