Senior Analytics Engineer (Remote from Poland)

Oversee

6d • Remote

About The Position

Oversee is seeking a Senior Analytics Engineer to shape how data powers its travel technology products. This role works at the intersection of data architecture, analytics, product development, and engineering, collaborating closely with Product and R&D teams to design and evolve data models, build reliable pipelines, define meaningful metrics, and turn complex data into insights that improve products and business decisions.

The work may include developing data architecture and monitoring systems for an AI-powered platform, analyzing product performance, building customer-facing dashboards, and identifying opportunities to improve features and business outcomes. The role offers autonomy to make technical decisions, influence product development, and own projects from planning through deployment. The engineer will also use AI-powered tools to improve development workflows and productivity. The position is remote from Poland.

Requirements

• At least 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 in a product-driven environment.
• Strong understanding of data architecture, data quality, and principles for reliable, scalable data systems.
• A product-oriented mindset, with interest in how products perform and whether they deliver value.
• Ability to take ownership of ambiguous problems, make decisions independently, and drive projects from idea to implementation.
• Active use of AI tools and genuine curiosity about applying AI to development, analytics, and everyday workflows.
• Comfort working in a fast-moving environment where products, priorities, and requirements evolve continuously.

Nice To Haves

• 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.

Responsibilities

• Own and continuously improve data models, architecture, and analytics solutions as products evolve.
• Design, build, and maintain reliable ETL/ELT pipelines, ensuring data quality, performance, and scalability.
• Help define metrics and data requirements for measuring 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 support product health and reliability.
• Make architectural decisions independently while balancing technical quality, business priorities, and delivery speed.
• Use AI tools such as Claude, Claude Code, Cursor, or similar technologies to improve development workflows, automate repetitive tasks, accelerate analysis, and increase productivity.
• Look for opportunities to improve processes, product performance, and how teams use data.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed