Data Analyst

At Sentra, we are dedicated to revolutionizing the way organizations approach data security. Sentra’s unique approach enables enterprises to autonomously scan their environments without the need for agents, ensuring that data remains securely within their cloud or on-premises infrastructure. This innovative methodology sets us apart in the industry, providing organizations with control and visibility over their sensitive data at all times. Our commitment to excellence in data security posture management and data detection and response makes Sentra a leader in the field.

We are seeking a talented Data Analyst to join us and be a part of the company’s early stage core team. The role is within a team which is responsible for classification abilities in Sentra. We use a combination of ML abilities, including NER and LLMs, along with great engineering and analytics to deliver findings on millions of files and tables a day.

• Create rules and models to broaden Sentra’s repertoire of sensitive data classes, from knowledge acquisition to writing production code.
• Define success metrics for classification performance. Use those to measure, monitor, and evaluate results. Help set the standards and constantly raise the bar.
• View, extract, analyze, and present data from multiple organizations, different cloud environments, storage technologies, interfaces, and formats.
• Create processes and tools that will allow non-technical stakeholders to have a clear view of scanning and classification KPIs.
• Make the most of our enormous amounts of data to help drive product and R&D decisions.
• Work from within the R&D Data team, take part in the discussions revolving around Sentra’s data science objectives, priorities and solutions.

• 2 years of hands-on experience analyzing data 
• Programming experience and related skills, e.g. Python, git
• Proficiency working with SQL, Spark or similar technologies
• Degree in a quantitative field such as Computer Science, Engineering, Mathematics, Statistics
• Basic understanding of descriptive and inferential statistics
• Can-do attitude
• Problem solving skills, self-starter, proactive mindset
• Previous experience in the cybersecurity domain - an advantage
• Experience with cloud environments - an advantage