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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

2–5 yearsHybridDirect Career PageEst. 8–18 LPA

Posted 13h ago

Against your primary resume

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Experience

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Data-driven signals on your job's competitiveness

Competition Intensity

(High)

Background Fit Sensitivity

(Low)

Shortlisting Strictness

(High)

Structured overview of role & requirements

Analyze mobile advertising, user behavior, and monetization metrics to support app growth and revenue platforms like PubScale.

Write complex SQL queries to extract and combine ad, app, and revenue data, and build/maintain dashboards for key performance indicators.

Design and analyze A/B tests on ad placements, identify anomalies in metrics, and communicate actionable insights to cross-functional teams.

2-5 years of experience in data analyst or similar analytics role.

Strong SQL skills including joins, GROUP BY, CTEs, window functions, and date logic.

Proficient in Python for data analysis using pandas and NumPy.

Degree in a quantitative field (engineering, statistics, mathematics, economics, or computer science) or equivalent experience.

Experienced in handling large-scale digital advertising or app monetization data and metrics.

Skilled in statistical analysis including A/B testing and familiar with key ad-tech metrics like eCPM and fill rate.

Capable of translating complex data into clear, actionable recommendations for non-technical stakeholders.