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Junior Data Analyst at Zero Networks
Tel Aviv, Tel-Aviv District, Israel -
Full Time

Start Date

Immediate

Expiry Date

14 Mar, 26

Salary

0.0

Posted On

15 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Automation, Collaboration, Excel, SQL, Python, Analytical Skills, Problem-Solving, Communication, Team Player, Curiosity, Eagerness to Learn

Industry

Computer and Network Security

Description
Zero Networks is a fast-growing cybersecurity startup redefining how organizations secure their internal networks. Our platform automatically segments networks and enforces least-privilege access, helping companies stay protected. We’re looking for a motivated Junior Data Analyst to join our Data team. This is an excellent opportunity for someone at the beginning of their data career to gain hands-on experience in the cybersecurity space and grow into a more strategic role over time. Responsibilities Analyzing large-scale datasets to maintain and improve our automation engine. Run existing scripts and tools to extract insights and generate reports. Collaborate with data analysts and engineers to understand workflows and gradually take part in analytical tasks. Learn and apply internal tools and methodologies to support the team’s ongoing initiatives. Requirements Up to 1 year of professional experience in a data-related role (internships or projects are welcome as well). Bachelor's degree in Economics, Statistics, Information Systems, or a related field. Strong analytical and problem-solving skills. Familiarity with Excel and at least one scripting or data query language (e.g., SQL or Python). Ability to communicate findings clearly, both verbally and in writing. Eagerness to learn, work hard, and grow in a dynamic and fast-paced environment. Team player with a proactive, curious mindset.
Responsibilities
The Junior Data Analyst will analyze large-scale datasets to maintain and improve the automation engine and run existing scripts to extract insights. They will collaborate with data analysts and engineers to understand workflows and gradually take part in analytical tasks.