Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
Sentra

Data Analyst

Sentra

. Serve as the first point of contact for classification requests from US customers and PoVs, collaborating with Sales Engineers, Solutions Architects, TAMs, Support, and Customer Success .

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

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in classification processes and customer engagement, leveraging SQL and regular expressions to enhance classification accuracy. Strong communication skills facilitate effective collaboration with technical teams and customers.

Highest-signal resume keywords
Customer-Facing Technical RoleWorking SQLRegular Expressions ProficiencyGit LiteracyClear Communication

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
SQLRegular ExpressionsClassification TuningData AnalysisKeyword Management
Soft Skills
Proactive MindsetStructured CommunicationProblem IdentificationOwnershipAdaptability
Tools & Technologies
AthenaGitPython
Industry Keywords
SaaSSecurityCustomer SuccessSupport EngineeringSolutions Engineering

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Serve as the first point of contact for classification requests from US customers and PoVs, collaborating with Sales Engineers, Solutions Architects, TAMs, Support, and Customer Success
  • Own classification for PoV engagements, validate results before customer calls, and join calls as the classification expert
  • Tune classification using approved procedures, including managing keywords, customer-specific regex and dictionary classes, re-analysis, customer-built classes, and allowlists
  • Identify false positives and false negatives before customers do and explain classification results and planned changes
  • Escalate complex issues to the R&D Data Analysts team with complete, actionable handoffs
  • Track requests and outcomes and derive insights on volume, trends, and improvement opportunities
  • Review PoVs to identify what is working, process or classification issues, and required changes
  • Maintain runbooks by reporting gaps, proposing fixes, and updating instructions as the product evolves

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 without waiting to be asked
  • Proactive mindset; able to identify problems and improvements before they become customer issues
  • Working SQL; able to write and adapt queries in Athena or a similar engine
  • Able to read, write, and test regular expressions and explain their 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; able to explain technical results to customers and write actionable handoffs
  • Must reside on the East Coast of the USA