Senior Data Analyst

Who we are:

BigID’s data intelligence platform enables organizations to know their enterprise data and take action for privacy, protection, and perspective. BigID empowers customers to know their data, take action from their data, and unleash the value of their data.

Headquartered in New York City with a worldwide presence, we are building a global team with a passion for innovation and next-gen technology with R&D in the heart of Tel Aviv. BigID has been recognized for its data intelligence innovation as a World Economic Forum Technology Pioneer, named to the 2020 Forbes Cloud 100, a Business Insider 2020 AI Startup to Watch, and an RSA Innovation Sandbox winner.

At BigID, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: you’ll have the opportunity to work with some of the most talented people in the industry who value innovation, integrity, and teamwork.

Who we seek:

We’re looking for a Senior Data Analyst for the research team, reporting to the VP, Data Science and Analytics. The research team is based in Tel Aviv and deals with rapid innovation, prototyping, and detailed research of regulations and policies. As a Senior Data Analyst, you’ll be part of a team that creates the most advanced and comprehensive tools for discovering sensitive data. Our ideal candidate is someone who has hands-on experience in researching online resources (incl. web sites and documents) and using pattern detection/regex techniques to uncover sensitive information within them.

This position is suitable for 80% or full-time candidates.

What you’ll do:

• Research various privacy and security standards (e.g. GDPR, CCPA, HIPAA)
• Work with customers and support teams to maximize data classification insights and to fine-tune accuracy
• Explore and do deep searches for sample documents and content in various online resources
• Create advanced Regex and NLP classifiers to help detect sensitive information through patterns
• Produce and maintain relevant test scripts as part of our continuous testing system 
• Coordinate the team’s activities and serve as a knowledge hub 

What you’ll bring:

• Bachelor's or Master's degree in scientific and/or linguistic fields - must
• Experience with online research, data extraction/scraping, and accuracy measurements (false positives/negatives)
• Strong communication and collaboration skills with customers and support teams to enhance data solutions – strong advantage
• Proven experience in information technology - strong advantage
• Experience with Regex - strong advantage
• Experience with Python/Java programming languages - strong advantage
• Experience with data labeling tools - advantage
• Familiarity with checksum/validation methods - advantage
• Language skills in languages other than Hebrew and English - advantage
• Wide areas of interest and general knowledge as well as a passion for learning 
• A reputation for being organized, self-motivated, and a team player

What’s in it for you?!

Our people are the foundation of our success, and we place a high priority on offering a wide range of benefits that make our team happier and healthier.

• Equity participation - everyone shares in our success
• Flexible work arrangements - for parents, for remote work days, etc.
• Office perks: dog-friendly environment, fully-stocked fridge, gym and exercise classes, weekly Happy Hours, free parking, evening meals
• Knowledge training & Career development tracks

Our Values:

We look for people who embody our values - Care, Do, Try & Shine.

• Care - We care about our customers and each other
• Do - We do what it takes to make a positive impact
• Try- We try our best and we don’t give up
• Shine- We shine and make it our mission to always stand out

Diversity & Inclusion: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying. Come as you are.