Staff Analytics Engineer

December 13

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Logo of Vercel

Vercel

Next.js • Removing frontend friction • Global deployment • Developer Velocity • Open Source

201 - 500 employees

Founded 2016

☁️ SaaS

🌐 Web 3

💰 $150M Series D on 2021-11

Description

• Vercel’s Frontend Cloud provides the developer experience and infrastructure to build, scale, and secure a faster, more personalized web. • As a Staff Analytics Engineer, you will be working cross-functionally with business domain specialists, analytics, and engineering teams to design and implement logical data models that power all scientific, analytical, and reporting use cases across Engineering, Product, Finance, and our various functional business units. • You will work with cross-functional stakeholders in defining and documenting company-wide single source of truth data models that power analysis throughout the enterprise. • Architect, build, publish, and maintain performant and reliable data models and pipelines to power self-service data consumption throughout the enterprise, flexible querying and data visualization, and advanced analytical and scientific use cases.

Requirements

• 8+ years of work experience querying, visualizing, and presenting data; prior experience at a modern technology company with a well-developed data organization • Advanced skills with writing clean, performant, scalable SQL • Advanced familiarity with modern BI tools, in particular: Hashboard, Superset • 6+ years of advanced experience with Snowflake or Bigquery • 2+ years with dbt or spark-based data pipelines • 6+ years of extensive experience in schema design and data modeling strategies (e.g. dimensional modeling, data vault, etc) • Significant experience with general-purpose programming (e.g. Python, Java, Go), dealing with a variety of data structures, algorithms, and serialization formats

Benefits

• Great compensation package and stock options. • Inclusive Healthcare Package. • Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. • Flexible Time Off - Flexible vacation policy with a recommended 4-weeks per year, and paid holidays. • Remote Friendly - Work with teammates from different time zones across the globe. • We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

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