Analytics Engineer; Remote from Poland

At Oversee, we build practical AI solutions for the $1.6 trillion global travel industry. For over a decade, we have helped travel agencies and global enterprises cut travel costs and work more efficiently. Our AI-based reshopping products, Fare Saver for air and Hotel Saver for hotels, track booked trips and automatically rebook them when a better rate becomes available. Agent See, our agentic AI platform, works alongside travel agents.

It reads traveler requests, handles bookings and changes, and takes on routine servicing tasks, so agents can manage more trips while improving service quality. We're growing fast, with exponential YoY revenue growth and partnerships with some of the world's largest Fortune 500 companies. If you are looking for a dynamic, fast-paced, and positive environment - and want to help solve a $17B global problem - Oversee is the place to build, grow, and make an impact.

• Own and continuously improve data models, architecture, and analytics solutions that support our products as they evolve
• Design, build, and maintain reliable ETL/ELT pipelines, ensuring data quality, performance, and scalability
• Help define the metrics and data requirements needed to measure product performance, feature adoption, customer behavior, and business impact
• Build and maintain dashboards, reports, and visualizations for internal stakeholders and external customers
• Develop and improve monitoring, alerting, and data quality processes to ensure product health and reliability
• Make architectural decisions independently, balancing technical quality, business priorities, and speed of delivery
• Use AI tools such as Claude, Claude Code, Cursor, or similar technologies to improve development workflows, automate repetitive tasks, accelerate analysis, and increase productivity
• Continuously look for opportunities to improve processes, product performance, and the way our teams use data.

• 5+ years of experience in analytics engineering, data engineering, product analytics, or a closely related field
• Strong SQL skills and hands-on experience with data modeling, ETL/ELT pipelines, and analytical systems
• Experience designing data solutions and making architectural decisions, ideally within a product-driven environment
• Strong understanding of data architecture, data quality, and the principles behind reliable, scalable data systems
• A product-oriented mindset. You care about what happens after something is built, how it performs, and whether it delivers value
• Comfortable taking ownership of ambiguous problems, making decisions independently, and driving projects from idea to implementation
• An active user of AI tools, with genuine curiosity about how AI can improve development, analytics, and everyday workflows
• Comfortable working in a fast-moving environment where products, priorities, and requirements continuously evolve
• Experience with Python, Snowflake, dbt, or similar data technologies
• Familiarity with BI tools, dashboards, or customer-facing analytics
• Experience with product monitoring, data quality, or performance optimization

Our technology stack:
Data & Analytics:
Snowflake, dbt, Dagster, Power BI Languages & Frontend: SQL, Python, React AI Tools:
Claude, Claude Code, Cursor

You don’t need to know every tool in our stack. We value strong analytical thinking, architectural experience, and the ability to deliver business impact. If you enjoy combining data, technology, and product thinking, and want to see the direct impact of your work, we’d love to hear from you. We are proud to be an equal opportunity workplace. We provide employment opportunities without regard to race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability,…