Senior (Product) Data Analyst

Full Time

hybrid

Apps Data

Warsaw / Krakow

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

Core Requirements

5+ 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 or 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

Salary Range

21600-25100 Gross/PLN/Month

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Apps Data

Warsaw / Krakow

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