Data Analyst

Sentra

. Serve as the go-to data classification expert for US customers.

Posted 11/11/2026full-timeRemote • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data classification, including tuning classifiers and managing customer-specific requirements. Proficient in SQL, regular expressions, and effective communication to convey technical results to customers.

Highest-signal resume keywords

Data Classification ExpertiseSQL ProficiencyRegular Expression LiteracyCustomer-Facing Technical ExperienceProactive Problem Identification

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ClassificationSQLRegular ExpressionsData AnalysisClassifier TuningTechnical CommunicationGit LiteracyPython Scripting

Soft Skills

Proactive MindsetClear CommunicationOwnership

Tools & Technologies

AthenaGit

Industry Keywords

SaaSSecurityCustomer SuccessSolutions ArchitectureSupport Engineering

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Serve as the go-to data classification expert for US customers.
Own classification requests and classification activities for US proofs of value (PoVs).
Validate classification results before customer calls and join calls as the classification expert.
Work with Sales Engineers, Solutions Architects, TAMs, Support, and Customer Success.
Tune classifiers by adding/removing keywords, building customer-specific regex and dictionary classes, running re-analysis, reviewing customer-built classes, and managing allowlists.
Identify false positives and false negatives and explain classification behavior and planned changes.
Escalate complex issues to the R&D Data Analysts team with complete, actionable handoffs.
Track requests and outcomes and analyze volume, trends, and improvement opportunities.
Review PoVs proactively to identify needed changes to classification, processes, or runbooks.
Maintain runbooks by reporting gaps, proposing fixes, and updating instructions as the product evolves.
Report to the Director of Solutions Architecture and collaborate with the R&D Data Analysts team in Israel.

Requirements

What you’ll need

3+ years in a customer-facing technical role (support engineering, solutions engineering, TAM, data analyst, or similar) at a SaaS or security company.
Startup experience; comfortable with ambiguity, moving fast, and taking ownership.
Proactive mindset focused on identifying problems and improvements before customer issues arise.
Working SQL; ability to write and adapt queries in Athena or a similar engine.
Ability to read, write, and test regular expressions and explain false positive behavior.
Git and code literacy; understanding of Git and pull requests and ability to read and follow code such as a Python script.
Clear, structured communication for explaining technical results to customers and writing actionable handoffs.
Must reside on the East Coast USA.