Sr. Analytics Engineer

Navan is looking for a Sr. Analytics Engineer to join our growing team. Based remotely or in one of our many offices located in the USA, you will be working within our world-class data organization to help modernize and scale our data warehouse to power our data-driven organization and support our rapidly evolving and growing data needs. You will work within a modern data stack of AWS, Fivetran, Airflow, DBT, Snowflake, Atlan, and Monte Carlo to build and maintain a first-class data warehouse. You are someone who can operate at a company that grows as fast as ours by being able to deal with multiple moving pieces while still holding up quality, long-term thinking, and delivering value to our customers.

What You’ll Do:

• Working closely with our data analyst, product, and engineering teams, you’ll design and develop our data warehouse models to create rich, usable data stores
• Identify and implement tests and monitoring to ensure data quality and reliability
• Create the definitions and metrics for a “single source of truth” to fuel all company decision-making
• Define best practices in data models and development. Coach our analysts, data scientists, and data domain owners on how to be effective data modelers
• Continuously find ways to expose more value in our raw data and lower the amount of effort our end users spend on getting answers

What We’re Looking For:

• 4+ years of work experience in data engineering/data warehousing/analytics engineering
• 2+ years of experience building and maintaining high-scale ELT
• Experience in dbt core is an absolute must!
• Familiarity with Airflow or similar orchestration tools
• Experience working with cloud data warehouses (Snowflake is a plus)
• Proficient in SQL and Python
• Demonstrated experience in data modeling (any methodology) and implementation