Data Analyst

Lithuania·VilniusFull Timemid

Data AnalystData

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Quick Summary

Overview

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.

Technical Tools

Data AnalystData

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.

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.

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.

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.

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.

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!