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.
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.
- 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.
We hope that:
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.
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.
Up for the challenge? Let’s talk!
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.