At Navan, “It’s all about the user. All of them.” We’re passionate about providing a seamless one-stop experience for business travelers, no matter how they travel, where they stay, or where they’re going.
Navan is looking for a Senior Analytics Engineer to join our growing team. 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 Fivetran, Airflow, DBT, and Snowflake in order 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 the data engineering and BI teams, design and develop our data warehouse model 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 and data scientists 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:
- 5+ years of work experience in data engineering/data warehousing
- 3+ years of experience building and maintaining high scale ELT
- Proficiency in dbt core is an absolute must!
- Experience working with Airflow
- Experience working with cloud data warehouses (Snowflake is a plus)
- Highly proficient in SQL
- Proficient with Python, Java, Go, or other OOP languages
- Demonstrated experience in data modeling (any methodology) and implementation
- Demonstrated experience working in/with BI teams to surface metrics
#LI-DB1
#LI-Hybrid
The posted pay range represents the anticipated low and high end of the compensation for this position and is subject to change based on business need. To determine a successful candidate’s starting pay, we carefully consider a variety of factors, including primary work location, an evaluation of the candidate’s skills and experience, market demands, and internal parity.
For roles with on-target-earnings (OTE), the pay range includes both base salary and target incentive compensation. Target incentive compensation for some roles may include a ramping draw period. Compensation is higher for those who exceed targets. Candidates may receive more information from the recruiter.
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