Data Analyst (Engineer)
Vilnius
Data & Analytics – Data Team /
Hybrid
We’re a team of 500+ professionals who develop cutting-edge proxy and web data scraping solutions for thousands of the world’s best known businesses, including Fortune 500 companies.
What’s in store for you:
You’ll be developing complex products with high coding standards, maintaining our own infrastructure, handling petabytes of data, and solving challenges on a daily basis. We got you covered with a team of strong professionals to support you, a well-built tech stack, and loads of ownership.
Your day-to-day:
- Collaborate with data engineers and developers in an agile environment to design and maintain the analytical layer on top of our datasets, enabling scalable, production-ready data products.
- Explore and prototype new datasets by validating data logic, extracting actionable insights, and supporting product experimentation efforts to accelerate the development of new data offerings and revenue streams.
- Conduct on-demand, targeted analyses to support internal stakeholders and business teams, providing data-driven insights that inform strategy, operations, and product decisions.
- Enrich and enhance datasets with product-ready calculated fields and derived metrics, while optimizing computation logic to ensure performance and scalability on large-scale data workloads.
- Assist in building automated or ad-hoc QA validation processes to ensure data accuracy, reliability, and consistency across our data products.
- Develop and maintain entity resolution techniques to match and link data across diverse sources, ensuring high-quality data integration.
- Automate scraping logic and source queue generation using data-driven models to streamline and scale source acquisition and ingestion workflows.
- Monitor production pipelines and models for data drift or failure, contributing to system stability by proactively identifying and resolving data-related issues.
Your skills & experience:
- 4+ years of previous experience in analytical role or engineering role.
- Proven ability to discover trends and extract actionable insights from data that deliver business value.
- Excellent skills in SQL, proficient skills in Python.
- Structural thinking and ability to clearly express oneself and align with different stakeholders.
- Ability to effectively cooperate and enable others to reach common objectives.
- Attention to details and propensity to dig into deeper layers of any matter to inspire potential improvements.
- Experience in Spark.
- Prior experience with data modeling Dagster, DBT, Superset, Trino.
- Previous experience working in the same team with data engineers.
- Business acumen and general commercial awareness how insights can convert to value and, in turn, unlock new revenue and business growth.
- Excellent written and spoken English.
Nice-to-have:
Salary:
- Gross salary: 3200 - 5200 EUR/month. Keep in mind that we are open to discussing a different salary based on your skills and experience.
To support your professional growth and make you feel taken care of, we’ve put together an expansive benefit package. It covers learning, well-being, celebration, and much more — learn all about it here.
Up for the challenge? Let’s talk!
