3 дня назад
Staff Analytics Engineer - Product
115 000 - 230 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Analytics Engineer - Product (SQL/dbt/Snowflake): Building production-grade dashboards, semantic data models, and ETL/ELT pipelines for product and event analytics with an accent on metric accuracy, instrumentation, and scalable data infrastructure. Focus on optimizing analytics performance, monitoring data quality, and translating product questions into measurable metrics and recommendations.
Location: Palo Alto, California, United States
Annual salary: $115,000–$230,000
Company
is a large auto insurer and a member of the Berkshire Hathaway family of companies, providing insurance coverage to millions of customers across the United States.
What you will do
- Lead the design and delivery of production-grade interactive dashboards using tools such as Looker, Mode, Tableau, Metabase, or Power BI.
- Own semantic data models and product metrics covering events, user cohorts, funnels, and retention.
- Design, implement, and maintain ETL/ELT pipelines for product and event data using dbt, Airflow, Beam, or equivalent tools.
- Define event schemas, validate data quality, and implement monitoring and alerts for metric regressions.
- Partner with product managers, designers, and engineers to translate product questions into analytics requirements and recommendations.
- Optimize queries, dashboards, and pipelines for performance and cost, while mentoring junior analysts and engineers.
Requirements
- 8+ years of experience in analytics engineering, data engineering, or applied analytics with product-focused experience.
- Proficiency with SQL, a modern data warehouse such as Snowflake, dbt or a similar tool, and a business intelligence platform.
- Strong experience designing ETL/ELT workflows, data models, semantic layers, and production-grade pipelines.
- Ability to work with product teams, define measurable metrics, and build dashboards that support product decisions.
- Strong data storytelling and communication skills for presenting findings to non-technical stakeholders.
- Experience establishing data quality assurance, lineage, and monitoring practices.
Nice to have
- Python or Scala, Airflow, Kafka, or streaming data experience.
- Knowledge of metric governance, metric stores, and versioned dbt projects.
- Experience in the insurance industry.
Culture & Benefits
- Personalized development programs, mentorship, and certification assistance.
- Inclusive and collaborative culture focused on shared success.
- Competitive compensation, benefits, and flexibility supporting employee well-being.
- will consider sponsoring qualified new applicants for employment authorization.
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