Product Data Analyst specialist

Description:

CHEQ is the global leader in Go-to-Market Security, trusted by over 15,000 customers worldwide to protect every aspect of their marketing, sales and data operation from bots, fake users, fraud and cyber attacks.

Powered by award-winning cybersecurity technology, CHEQ offers the broadest suite of solutions for securing the entire funnel, from paid marketing to on-site conversion, data and analytics.

CHEQ is a global company with offices in Tel-Aviv, New York, UK and Tokyo.

We are looking for a Product Data Analyst specialist to join our growing Product Data Analyst team. This role is a unique opportunity for someone passionate about data to gain hands-on experience in a product-centric, data-driven environment. 

You’ll work closely with product managers, analysts, and engineers to help shape the way we measure, understand, and improve our products. This is an ideal position for someone at the beginning of their data career who’s eager to learn, take ownership, and make an impact.

 Responsibilities:

• Detection Engine Ownership: Own and optimize key parts of CHEQ’s detection engine and database using analytical tools and best practices.
• Cross-Departmental Collaboration: Work with Product, Engineering, Sales, Customer Success, and Security to deliver actionable data insights.
• Product Support & Prototyping: Support product decisions through data exploration, insights, and prototypes for new features or tools.
• Insight Discovery & Innovation: Analyze traffic and product data to identify trends, anomalies, and new product opportunities.
• Internal Enablement Tools: Create internal services and dashboards to support field teams before features are fully productized.
•  Ad Hoc Analysis & QA: Investigate client issues, bugs, and QA concerns through on-demand analysis and validation.
• Data Storytelling: Present insights clearly via dashboards, reports, and visualizations for diverse audiences.

• Data Analysis Proficiency: Experience with SQL (e.g., ClickHouse, PostgreSQL), Python (e.g., Pandas), and BI tools (e.g., Superset, Tableau).
• Ownership & Independence: Able to work autonomously, take initiative, and fully own your projects and workflows.
• Analytical & Curious Mindset: A curious mindset with the ability to spot patterns and turn data into actionable ideas.
• Collaborative Attitude: Strong collaboration skills; comfortable working with multiple teams and adapting to their needs.
• Product Thinking: Understanding of product context and how data impacts users, features, and business outcomes.
• Communication: Clear in written and verbal English; skilled at turning complex analysis into simple takeaways.
• Attention to Detail: Accurate, thorough, and quality-focused when working with large and sensitive datasets.
• This role is also suitable for recent graduates with a relevant degree, even without prior experience.
• Bachelor’s degree in a relevant field such as Industrial Engineering, Information Systems.