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.
Apps Data team is a full-stack data service provider enabling data driven decision making across the company by developing and maintaining a unified and scalable data interface.
Join our team as a Senior (Product) Data Analyst and play a pivotal role in driving data-driven decision-making, enhancing app development, and influencing business outcomes through insightful analysis and effective stakeholder management.
Main Responsibilities:
- Define, monitor, and optimize key metrics related to products performance, experiments, user engagement (data from applications)
- Develop end-to-end analytical solutions to enable data-driven decision-making across product development teams
- Build high-quality, ad-hoc reports and monitoring dashboards promptly to address stakeholder requests
- Based on conduct deep-dive analysis on application performance and user behavior - present findings to product managers
- 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
Salary Range:
- Gross Salary 3200 - 5900 EUR/Month
Core Requirements:
- 3+ years experience in product data analytics role
- Ability to lead and execute analytical work throughout the product/feature development lifecycle (from problem definition and metric design to impact evaluation)
- SQL Proficiency: Strong knowledge and proficiency in SQL ANSI
- Big Data: knowledge of effective ways to deal with big amounts of transactional data
- Hands-on experience and motivation to develop Spark and Python skills
- Familiarity with MinIO or similar environments for large-scale data workloads
- Proficiency with at least one data visualization tool, e.g. Tableau, OpenSearch
- 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 and effective communication skills, problem-solving abilities, and a collaborative mindset
- Attention to Detail: High attention to detail and proactivity in all tasks
Bonus Points For:
- Tableau Certification: Possession of a Tableau certification is highly desirable
- Leadership: Leading analytics initiatives alongside product/feature development is considered an advantage
Tools You Will Use:
- Tableau
- SQL
- PySpark
