About Us
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:
- Develop a solid understanding of the relationships between the behaviour of our customers and our growth drivers through data analysis and modelling.
- Create and maintain self-service dashboards for stakeholders across business, using PowerBI.
- Utilize analytical tools (SQL, Python, Google Sheets) to prepare and analyze data, supporting key decision-making processes.
- Carry out ad-hoc analysis to address stakeholder questions and effectively communicating your findings.
- Ensure data integrity and accuracy by performing regular data audits and validation.
- Collaborate with business users to determine KPIs and critical metrics to monitor for new business lines.
- Build forecast models to support business development.
- Deliver actionable insights and data-driven recommendations.
Salary
- Gross salary: 3200 - 4500 EUR/month. Keep in mind that we are open to discussing a different salary based on your skills and experience.
Your skills & experience:
- 2+ years of experience working on business problems in a Data Analyst/Business Analyst role.
- Strong knowledge of SQL.
- Hands-on experience building effective, easy-to-navigate dashboards, ideally with PowerBI (or other data visualization tools such as Tableau, Qlik Sense, Looker, Grafana).
- Fluency in English and Lithuanian.
- Ability to generate actionable insights and recommendations from data analysis with an understanding of how these insights can drive business impact.
We hope that: * You’re a problem solver at heart and a team player. * You’re pragmatic and impact-focused - you will choose Excel over Python if it is a better solution for the problem and vice-versa. * You've proven ability to formulate and test hypotheses about business performance * You've strong communication skills to effectively collaborate with stakeholders and present findings.
Tech Stack:
- Google Cloud Platform (GCS, BQ) for storage and warehousing;
- dbt and SQL for data modelling;
- Python for automation;
- PowerBI for data visualisation;
- Airflow for orchestration;
- Any tool you like for ad-hoc analysis.
*We don't expect you to master or know all of these technologies today.
