AI Search Analyst

Scrunch

Analyst measuring and improving brand visibility across AI-powered search and discovery surfaces for a startup. Collaborating with teams to analyze data and provide actionable insights.

Posted 4/30/2026full-timeNew York City • New York • 🇺🇸 United StatesJuniorMid-Level💰 $115,000 - $145,000 per yearWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Build and maintain analyses, dashboards, and reporting that track AI search performance, including visibility, citations, competitive movement, prompt/topic performance, and content coverage.
Translate platform data into clear customer-facing insights and recommendations tied to business goals, customer journeys, personas, and content priorities.
Partner with Customer Success on client working sessions, reviews, investigations, and strategic readouts.
Diagnose performance changes by analyzing prompt patterns, topic mix, source behavior, competitor activity, and platform shifts across AI surfaces.
Design and support measurement frameworks and experiments, including hypothesis development, KPI definition, pre/post analysis, and readouts.
Conduct quantitative deep dives into questions like what drives citations, where visibility is being won or lost, and how content or technical changes affect outcomes.
Help improve internal methodologies for trend reporting, benchmarking, segmentation, and performance interpretation in noisy, fast-changing environments.
Partner with Product and Engineering to surface customer pain points, edge cases, and opportunities for better reporting, analytics, and workflows.
Contribute to external-facing analysis where useful, including research summaries, benchmark studies, and thought leadership content.

Requirements

What you’ll need

2–4 years of experience in analytics, data science, consulting, or a similarly quantitative role.
Strong foundations in statistics, analysis, and measurement.
Experience working with messy, high-volume behavioral or product data and turning it into usable insights.
Strong SQL and proficiency in Python for analysis.
Experience building dashboards, analyses, or data products that inform decisions for customers or business stakeholders.
Ability to structure ambiguous problems, choose sensible metrics, and explain what you found, why it matters, and how confident you are.
Comfort working with noisy, incomplete, or non-representative data, including bias checks, caveats, and uncertainty-aware interpretation.
Strong communication skills and comfort in customer-facing settings: you can present findings, answer questions live, and adapt technical detail to the audience.

Benefits

Comp & perks

Equity in a fast-growing, category-defining company
Medical, dental, vision, and life & disability insurance
Paid parental leave when life's biggest moments happen
Home office stipend so your workspace doesn't suck
Phone and internet reimbursement
L&D budget for courses, conferences, and whatever makes you sharper
Flexible PTO — take what you need, we trust you
401(k)
Team offsites and a crew that genuinely likes each other

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

analyticsdata sciencestatisticsmeasurementSQLPythondashboard buildingdata analysisKPI definitionquantitative analysis

Soft Skills

communication skillsproblem structuringcustomer-facing skillsadaptabilityinsight presentationcollaborationstrategic thinkinginterpretation of datacritical thinkingcustomer engagement