Data Analyst

Description

Sentra is on a mission to enable cloud-driven organizations to regain control and secure their full data lifecycle. We are a fast-growing startup based in Tel Aviv (near a train station), with a strong founding team.

We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role — it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.

Responsibilities

• Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
• Develop Python-based workflows and tools for data processing, evaluation, and automation
• Build and maintain data pipelines and monitoring systems to track product performance and data quality
• Create automated frameworks to evaluate and benchmark model performance
• Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

Requirements

• 2+ years of experience in a data-focused role within a B2B SaaS company
• Strong hands-on experience with Python - writing code as part of daily work
• Experience with SQL and working with large-scale data
• Experience building data pipelines / ETL processes (Airflow, Dagster, or similar)
• Familiarity with Spark or distributed data processing — an advantage
• Understanding of software development best practices (Git, CI/CD, testing)
• Degree in a quantitative field (Computer Science, Engineering, Mathematics, Statistics)

Nice to have

• Experience with BI tools (Tableau, Looker, Power BI)
• Experience with cloud environments
• Background in cybersecurity
• Familiarity with ML / NLP concepts