Data Analyst | Mid-Senior | Growth Conversion Team

Company:

Nord Security is one of the world’s leading providers of digital security and privacy solutions for businesses and individuals. We are a home for advanced security solutions that share the Nord brand and values. Today, our products are used by millions of customers worldwide and praised by all the major cybersecurity experts and top media outlets.

Role:

Job Description

Analyze experiments data and metrics; draw conclusions and suggestions; assist in prioritizing ideas and hypotheses; Build dashboards present findings and make recommendations based on analysis across multiple devices websites and user segments; Support Growth Conversion Team/CRO specialists and other stakeholders with ad-hoc analyses or explanations; Provide decision support for key business people and product development teams using the data and your analyses; Analyze and optimize conversion funnels; detail user flows conclude “happy paths” to drive measurable increases in conversion rates and revenue; Improve and automate processes and results delivery develop and maintain supporting code and research new options for raising own and overall efficiency.

Job Requirements

3+ years experience in CRO/Experimentation data analysis and analytics tools; Strong communication skills a proactive approach analytical problem-solving abilities and a collaborative mindset being an effective and versatile team player; Curiosity and drive to learn change and improve interest in digital marketing and human behavior; Ability to communicate and use latest data visualization techniques to make patterns visible even for not-so-data-nerdy colleagues; Strong logic and ability to dig derive and detect principles and patterns of consumer’s behavior from data; Understanding the WHY behind the data and delivering actionable insights to further improve UX and conversion rate optimization; Understanding of web analytics and the conversion optimization space using tools like GA GA4 Looker and others; Experience in performing A/B testing usability tests or user research; Solid understanding and experience of SQL (Google BigQuery as an advantage) and Python or R (for data modeling and general development); Solid understanding of statistics probability distributions hypotheses testing Bayesian statistics.