Data Engineer at Navan

<p>The Travel Product org is seeking a versatile Data Engineer to join our Product Strategy and Analysis team. In this hybrid role, you will play a critical part in shaping our analytics infrastructure and capabilities. You’ll work closely with product managers, engineers, and operations teams to design and build analytics-ready data models, automate data workflows, and uncover impactful insights that drive our product and operational decisions.<br><br>Your work will span the full data lifecycle—developing and optimizing data models, building engaging dashboards, and analyzing our platform’s performance and user behavior. You will also leverage our in-house AI platform to develop and improve data-driven prompts and automations that enhance self-service analytics.<br><br>This is a hands-on role and ideal for someone who thrives with both data solutions and translating data into actionable insights. If you enjoy building high-quality data assets, partnering cross-functionally, and making an immediate impact on product strategy, we’d love to meet you!</p> <p><strong>What You’ll Do:</strong></p> <ul> <li>Design, build, and maintain robust data models, tables, and views in our analytics data warehouse (using dbt/Snowflake) to support product and operational analytics.</li> <li>Develop and automate analytics-layer data pipelines and ensure data quality with appropriate testing and monitoring.</li> <li>Partner with product managers, engineers, and business stakeholders to understand requirements, translate business needs into data solutions, and help define and track key metrics.</li> <li>Deliver thoughtful analyses on large, complex datasets to uncover actionable insights for product and operations improvement.</li> <li>Develop and maintain dashboards and reports in Thoughtspot to monitor KPIs, product usage, and operational performance.</li> <li>Consolidate and harmonize data across different business units and acquisitions, ensuring consistent and reliable data definitions for reporting.</li> <li>Work directly with our in-house AI platform, supporting or developing new tools to boost analytics and automation capabilities.</li> <li>Contribute to documentation and training for business users to support self-service access to data tools and reporting.</li> <li>Identify and implement opportunities to streamline and automate analytics workflows and processes in partnership with the broader team.</li> <li>Primarily work on-site 3-4 days per week as part of our collaborative Product Strategy and Analysis team.</li> </ul> <p><strong>What We’re Looking For:</strong></p> <ul> <li>2-3+ years of relevant experience in data engineering, analytics engineering, or advanced data analytics roles, ideally supporting product or operational analytics.</li> <li>Advanced proficiency in SQL and experience with data modeling, dbt, and cloud data warehouses (Snowflake preferred).</li> <li>Experience developing analytics-layer data pipelines, tables, and views, and ensuring data quality for reporting and analysis.</li> <li>Hands-on experience with BI/data visualization tools (Thoughtspot preferred), including dashboard/report development and self-service enablement.</li> <li>Experience analyzing complex, high-volume datasets and delivering clear, actionable insights.</li> <li>Hands-on experience with Python for data analysis and/or to interact with platforms or AI tools; prompt/AI development is a plus.</li> <li>Effective written and verbal communication skills, with the ability to convey technical information to cross-functional partners.</li> <li>Collaborative mindset and ability to thrive within a hybrid team, working on-site 3-4 days per week.</li> </ul> <p><strong>Nice to Have:</strong></p> <ul> <li>Experience experimentation frameworks, or statistical analysis (e.g., regression, significance testing).</li> <li>Experience working in a product-centric team or fast-paced environment.</li> <li>Stakeholder management experience, especially with Product, Engineering, and Operations teams.</li> <li>Familiarity with engineering best practices (versioning, testing, monitoring)</li> </ul><div class="content-conclusion"><p>&nbsp;</p> <p>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.&nbsp;</p> <p><strong>Human oversight:</strong>&nbsp;<span style="color: #000000; font-family: Arial, sans-serif;">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.&nbsp;</span></p> <ul> <li> <p><strong>Your rights: </strong>If you prefer to have your application reviewed without AI assistance, you may request a human evaluation by entering your email <a href="https://my.metaview.app/applications/opt-out?organization=15dd7e883f">here</a>. Your decision to do so will not affect how your candidacy is evaluated.&nbsp;</p> </li> </ul> <p>Please refer to our<a href="https://navan.com/candidate-privacy-notice"> Candidate Privacy Notice</a> for more information about our processing of personal data, and your rights.</p></div>