Data Analyst

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. As our new Data Analyst you will be responsible for addressing a diverse and challenging range of problems to help us make better business decisions at Oxylabs.io.  Raise a question, create a hypothesis, dig deep, understand what you found. Sounds like something you enjoy? How about having a real impact on the actions and direction we take to grow our business? We are a fast growing global company with a lot of data and we are looking for someone that can help make sense of it all – what is important, why, and how it all fits together.  You will have the opportunity to learn new things, put things you’ve learned into creating something new, and freedom to challenge and change the way we do things. We are a small team with a focus on self-ownership, so you will have the freedom and opportunity to come up with and implement the best solution for any given situation, and find the best answer in whatever way possible. Does this role sound well suited to you? Then send us an application - we'd love to hear from you. Your day-to-day:

Develop clear hypotheses and analyze customer behavior to better understand our users and uncover improvement opportunities;

Deliver actionable insights and data-driven recommendations;

Proactively identify and suggest improvement areas to senior management;

Define key metrics and build dashboards and reports to monitor them;

Build forecast models to support business development;

Perform ad-hoc analyses as needed;

Provide guidance and mentorship to junior team members.

Your skills & experience:

3–5 years’ experience in an analytical role;

Strong knowledge of SQL;

Hands-on experience with data visualization tools (we use Power BI, but Looker, Tableau, Qlik, Grafana, or similar tools are also great);

Proven ability to formulate and test hypotheses about business performance;

Creative problem-solving skills, with the ability to find smart workarounds when data is limited;

Strong communication skills to effectively collaborate with stakeholders and present findings.

Nice to have:

Experience with data modeling;

Experience working with Python.

Salary:

Gross salary: 4000 - 5500 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.