Data Analyst
Summary
Data Analyst builds dashboards and models customer behavior using SQL, Python, and PowerBI to turn marketing and usage data into actionable business insights for Oxylabs’ proxy and web scraping products.
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.
The Data Analytics team empowers our entire organization by transforming complex data into actionable business insights and building robust self-service tools. As a Data Analyst, you will play a crucial role in modeling customer behavior and marketing data to directly support senior stakeholders and commercial teams.
In this role, you will:
- Develop a foundational understanding of the relationships between customer behavior and our growth drivers through data analysis and data modelling;
- Assist in creating and maintaining self-service dashboards for stakeholders across the business, using PowerBI or Superset;
- Model and connect marketing campaign, channel, and touchpoint data to help us better understand the customer journey from acquisition to conversion;
- Utilize analytical tools (SQL, Python, Google Sheets) to prepare and analyze data, supporting key decision-making processes;
- Leverage AI tools to accelerate data analysis workflows and improve productivity;
- Identify new research areas that should be pursued and provide recommendations to senior stakeholders;
- Conduct ad-hoc analysis to address stakeholder questions, focusing on commercial impact and effectively communicating your findings.
Your skills & experiences:
- 2+ years of experience working closely with business leaders in an analytical or consulting role, driving measurable business impact;
- Strong proficiency in SQL for data manipulation, alongside experience with visualization tools (PowerBI, Superset, Tableau, Looker) and Excel/Google Sheets;
- Understanding of when and how to leverage AI in both analytical and business workflows;
- A pragmatic, problem-solving mindset—you know when a quick Excel pivot beats a complex Python script, and you view AI as a valuable productivity multiplier.
- Excellent English communication skills, allowing you to clearly translate technical findings and comfortably engage in engineering-related discussions.
Nice to have:
- Solid understanding of marketing metrics (funnel, cohort, and campaign analysis), ideally combined with SaaS metrics (MRR, LTV/CAC), and a strong commercial awareness focused on user needs.
Tech Stack:
- Google Cloud Platform (GCS, BQ) for storage and warehousing;
- dbt and SQL for data modelling;
- Python for automation;
- Jupyter for ad-hoc analysis;
- PowerBI and Superset for data visualisation;
- Airflow for orchestration.
Salary & Benefits:
- Gross salary: 3200-4500 EUR/month. Keep in mind that we are open to discuss a different salary based on your skills and competencies.
- Growth & Learning: 40+ internal learning options, external conferences, mentorship, and year-round knowledge-sharing.
- Health & Well-being: Private health insurance, psychotherapy, on-site well-being consultants, 24/7 gym access, and a wellness app.
- Celebration & Community: Team events, an overseas workation, quarterly team-building budgets, and plenty of ways to mark milestones together.
- Plus bonus vacation days, paid life-moment days off, barista coffee, and all the tools you need. See the full list of benefits here: .
Up for the challenge? Let’s talk!