Data analyst | Mid-senior | Infrastructure DA team

Full Time

hybrid

Infrastructure

Vilnius / Kaunas

The world’s most advanced VPN, and a whole lot more.

If you’re a curious problem-solver who carves their own path, join the team behind Threat Protection Pro, the NordLynx protocol, and the fastest VPN on the planet—tools that put privacy, security, and control back in people’s hands.

Your impact? Helping millions take back control of their online security, privacy, and data.

The Infrastructure Department is committed to delivering an outstanding user experience through ultra-fast, reliable connections and a broad network of locations that provide customers with flexibility and top-tier performance.

The Infrastructure Data Analytics Team supports this mission by transforming data into meaningful insights for both business and technical stakeholders. By driving informed decision-making, we help enhance the quality of NordVPN’s products and services, uncover opportunities for innovation and optimization, and ultimately elevate user satisfaction across all platforms.

Main Responsibilities

Define, monitor, and optimize key metrics and KPIs related to infrastructure and product performance;
Develop end-to-end analytical solutions to enable data-driven decision-making across teams;
Build high-quality, ad-hoc reports and dashboards promptly to address stakeholder requests;
Present findings and propose actions clearly to both technical and non-technical stakeholders;
Automate repetitive tasks to improve efficiency and consistency;
Ensure all reports and analyses comply with internal guidelines and requirements;
Collaborate closely with cross-functional teams to ensure accurate understanding of data and business processes.

Core Requirements

2+ years experience in data analytics role;
Advanced proficiency in SQL, experience with BigQuery is a plus;
Hands-on experience with PySpark and Python in a professional setting;
Familiarity with MinIO or similar environments for large-scale data workloads;
Proficiency with at least one data visualization tool, e.g. Looker, Grafana;
Proven track record of delivering large-scale analytical projects that resolve complex challenges;
In-depth understanding and hands-on experience in statistical modeling, with the ability to explain and apply the underlying mathematical and conceptual principles is a plus;
Ability to critically assess incoming requests, clarify requirements, and define a clear execution roadmap;
Excellent communication skills, problem-solving abilities, and a collaborative mindset.

Tool You Will Use

PySpark;
Python;
SQL;
Looker.

Salary Range

Gross monthly salary of 3200-5900 EUR.

Perks we offer

Our global mission fuels our drive. But when you need that extra push - here’s a list of things to look forward to.

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Infrastructure

Vilnius / Kaunas

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