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Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

zeroThreeBENGALURUofficeDirect Career PageEst. 8–14 LPA

Posted 17h ago

Against your primary resume

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Role Fit

Experience

Industry Relevance

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Strong employer brand, generalist data analyst title, and Bangalore location increase candidate competition.

Background Fit Sensitivity

(Moderate)

Core SQL/Python skills transfer easily, but risk-specific domain knowledge moderately limits cross-industry fit.

Shortlisting Strictness

(Moderate)

Entry-level years but mandatory SQL/Python and domain skills produce moderate screening rigidity.

Structured overview of role & requirements

Analyse user behaviour and product funnels to identify and mitigate potential risks in trust and safety domains.

Deliver accurate insights on business and product risk performance, supporting anomaly detection systems.

Utilise GenAI and auto-adaptive risk frameworks to automate routine analysis and refine safety and risk rules.

1+ years of experience in data-related or quantitative fields.

Bachelor's Degree in Analytics, Statistics, Computer Science, or related field.

Proficiency in SQL, Python, and data visualisation tools (e.g., Power BI, Tableau).

Fundamental awareness of AI/ML concepts and basic statistical techniques.

Experience or interest in trust, safety, and risk analysis within digital platforms.

Comfortable working with advanced data automation tools and evolving AI capabilities.

Ability to independently handle moderately complex analytical tasks and operate within cross-functional teams.