Nordsec3mo ago

Product Data Analyst | Mid-Senior

Warsaw,WarsawFull Timesenior

Data ScienceProduct Data AnalystData & AI

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Requirements Summary

Strong knowledge and proficiency in SQL ANSI Big Data: knowledge of effective ways to deal with big amounts of transactional data Hands-on experi

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Data ScienceProduct Data AnalystData & AI

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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.

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

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

Tableau Certification: Possession of a Tableau certification is highly desirable

Leadership: Leading analytics initiatives alongside product/feature development is considered an advantage

Tableau

SQL

PySpark

17600-25100 Gross/PLN/Month