About the role
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.
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.
- Primarily work on-site 3-4 days per week as part of our collaborative Product Strategy and Analysis 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.
Nice to have
- 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)