Staff Analytics Engineer

Summary

Join Vercel as a Staff Analytics Engineer and collaborate with cross-functional teams to design and implement data models for various business units. You will architect and maintain data models and pipelines, ensuring efficient data consumption and advanced analytics. Serve as a data steward and subject matter expert, building and improving data tooling. Drive data quality and develop data modeling standards. This role requires extensive experience in data modeling, SQL, BI tools, and programming languages. Vercel offers a competitive compensation package, inclusive healthcare, flexible time off, remote work options, and professional development opportunities.

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

Responsibilities

• 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
• Advanced analytical and scientific use cases
• Serve as a data steward and subject-matter expert for a dedicated set of business and technology domains
• Build and improve data tooling in partnership with internal Data Platform teams, including: Tooling for auditing, error logging, and validating data tables
• Tooling to help democratize data model and pipeline ownership
• Tooling to make data more discoverable, easy to use well, and difficult to use incorrectly
• Tooling to make analysts, scientists, and analytics engineers more efficient
• Drive data quality by transforming dynamic data and business logic into consistent and trustworthy datasets
• Develop and evangelize development standards and best practices for data modeling and working with our data and tools

Preferred Qualifications

• Ability to solve ambiguous problems independently
• Detail oriented and excited to learn new skills and tools
• Ability to write clear, concise documentation, and to communicate generally with a high degree of precision
• Passion for high data quality and building systems and processes that scale

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