Oversee

Senior Analytics Engineer (Remote from Poland)

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SeniorZdalnie·GdańskFull-time

#469739·Dodano 7 dni temu·8

Źródło: Oversee

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Tech Stack / Keywords

SQL SnowflakedbtDagsterPower BIPython React ClaudeClaude CodeCursor

Podsumowanie oferty

As a Senior Analytics Engineer, you’ll shape how data powers Oversee’s travel products, including FareSaver, HotelSaver and AgentSee. You’ll work with Product and R&D to evolve data models, build reliable pipelines and define metrics that turn data into product and business insights, using SQL, Snowflake and dbt.

Wymagania

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 behind reliable, scalable data systems.
Product-oriented mindset, with attention to product performance and delivered value.
Comfortable taking ownership of ambiguous problems, making decisions independently, and driving projects from idea to implementation.
Active user of AI tools, with curiosity about improving development, analytics, and everyday workflows.
Comfortable working in a fast-moving environment where products, priorities, and requirements evolve.

Nice to have:

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.

Obowiązki

Own and continuously improve data models, architecture, and analytics solutions that support evolving products.
Design, build, and maintain reliable ETL/ELT pipelines, ensuring data quality, performance, and scalability.
Help define metrics and data requirements 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 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.

Inne informacje

Remote from Poland.

Oversee

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