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About the Role
The Travel Product organization is seeking a versatile Data Engineer to join their Product Strategy and Analysis team. This hybrid role is critical in shaping analytics infrastructure and capabilities, working closely with cross-functional teams to design and build analytics-ready data models, automate data workflows, and uncover impactful insights that drive product and operational decisions. The role involves the full data lifecycle, from developing data models to analyzing platform performance and leveraging AI for self-service analytics.
Responsibilities
- Design, build, and maintain robust data models, tables, and views in our analytics data warehouse (using dbt/Snowflake) to support product and operational analytics.
- Develop and automate analytics-layer data pipelines and ensure data quality with appropriate testing and monitoring.
- Partner with product managers, engineers, and business stakeholders to understand requirements, translate business needs into data solutions, and help define and track key metrics.
- Deliver thoughtful analyses on large, complex datasets to uncover actionable insights for product and operations improvement.
- Develop and maintain dashboards and reports in Thoughtspot to monitor KPIs, product usage, and operational performance.
- Consolidate and harmonize data across different business units and acquisitions, ensuring consistent and reliable data definitions for reporting.
- Work directly with our in-house AI platform, supporting or developing new tools to boost analytics and automation capabilities.
- Contribute to documentation and training for business users to support self-service access to data tools and reporting.
- Identify and implement opportunities to streamline and automate analytics workflows and processes in partnership with the broader team.
Requirements
- 2-3+ years of relevant experience in data engineering, analytics engineering, or advanced data analytics roles, ideally supporting product or operational analytics.
- Advanced proficiency in SQL and experience with data modeling, dbt, and cloud data warehouses (Snowflake preferred).
- Experience developing analytics-layer data pipelines, tables, and views, and ensuring data quality for reporting and analysis.
- Hands-on experience with BI/data visualization tools (Thoughtspot preferred), including dashboard/report development and self-service enablement.
- Experience analyzing complex, high-volume datasets and delivering clear, actionable insights.
- Hands-on experience with Python for data analysis and/or to interact with platforms or AI tools; prompt/AI development is a plus.
- Effective written and verbal communication skills, with the ability to convey technical information to cross-functional partners.
- Collaborative mindset and ability to thrive within a hybrid team, working on-site 3-4 days per week.
- Experience experimentation frameworks, or statistical analysis (e.g., regression, significance testing).
- Experience working in a product-centric team or fast-paced environment.
- Stakeholder management experience, especially with Product, Engineering, and Operations teams.
- Familiarity with engineering best practices (versioning, testing, monitoring).
Skills
- SQL
- Data Modeling
- dbt
- Snowflake
- Thoughtspot
- Python
- AI platform interaction
- Prompt development
- Data analysis
- Data visualization
- Dashboard development
- Self-service analytics enablement
- Experimentation frameworks
- Statistical analysis
- Engineering best practices (versioning, testing, monitoring)
Location
- Hybrid
Work Type
- Hybrid
- On-site 3-4 days per week
Experience Level
- 2-3+ years of relevant experience
About the Company
- Navan uses AI-assisted Automated Employment Decision Tool (Metaview) to assist with evaluating resumes against job qualifications for this role.
- All final decisions are made by human recruiters and hiring managers.
- Metaview does not automatically reject candidates or make final hiring decisions. Our recruiters and hiring managers review all outputs and make the final hiring decision regarding every application.
- If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email here. Your decision to do so will not affect how your candidacy is evaluated.
- Please refer to our Candidate Privacy Notice for more information about our processing of personal data, and your rights.