Senior Analytics Engineer | AI-Powered Product Analytics

Oversee; Polska; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

Oversee is seeking a Senior Analytics Engineer to shape how data powers our products. This role sits at the intersection of data architecture, analytics, product development, and engineering, partnering with Product and R&D to design data models, build pipelines, and define meaningful metrics.

You’ll own data models, run reliable ETL/ELT processes, create dashboards for internal and external stakeholders, monitor data quality, and explore AI-driven tooling to accelerate insights and business

Qualifications

• 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.

Responsibilities

• 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.

Skills

SQL skills

Data modeling

ETL/ELT pipelines

Analytical systems

Product analytics

Tools

Snowflake

dbt

Dagster

Power BI

Job description

Oversee is seeking a Senior Analytics Engineer to shape how data powers our products. This role sits at the intersection of data architecture, analytics, product development, and engineering, partnering with Product and R&D to design data models, build pipelines, and define meaningful metrics.

You’ll own data models, run reliable ETL/ELT processes, create dashboards for internal and external stakeholders, monitor data quality, and explore AI-driven tooling to accelerate insights and business