# Insights Strategist

**Company:** [AirOps](https://hotfix.jobs/companies/airops)
**Location:** New York, NY, San Francisco, CA
**Role:** Data Analytics
**Experience:** 5+ years
**Skills:** SQL, Python, R, Jupyter Notebooks, Business Intelligence, Ai Search, Search Analytics, SEO, LLMs, Recommendation Systems, Data Analysis, Measurement Frameworks
**Posted:** 2026-09-01

> The Insights Strategist will analyze AI Search data, build recurring measurement systems, investigate changes in visibility and model behavior, and translate findings into product and customer recommendations. The role requires 5+ years of analytical experience, strong SQL, sound judgment, and excellent communication skills.

## Job Description

## Responsibilities
- Identify high-value questions to answer with AI Search data based on product priorities, customer needs, and market changes.
- Develop recurring analyses tracking AI Search performance across models, topics, brands, and time periods.
- Investigate changes in visibility, citations, sentiment, source patterns, and model behavior.
- Develop and refine metrics and analytical methods for measuring AI Search performance.
- Translate findings into recommendations for product priorities, customer strategy, and prospect conversations.
- Partner with Product and Data to improve data quality, accessibility, reporting, and product experience.
- Create clear customer-ready analyses, presentations, and benchmarks.
- Present findings to internal teams, customers, and prospects.
- Document analytical methods, assumptions, and limitations.

## Requirements
- 5+ years of experience in insights, analytics, product strategy, data science, consulting, or a related analytical role.
- Experience defining analytical questions and setting priorities independently.
- Strong SQL skills and experience working with large, complex, or imperfect datasets.
- Sound analytical judgment and ability to distinguish useful signals from unsupported conclusions.
- Experience building recurring reporting or measurement systems alongside one-time analyses.
- Strong written and verbal communication skills, including explaining technical findings to business and executive audiences.
- Experience turning analysis into specific recommendations for product teams, customers, or senior leaders.
- Ability to collaborate across Product, Data, Sales, Customer Success, and other functions.

## Nice to Have
- Experience with AI Search, search analytics, SEO, AEO, large language models, or recommendation systems.
- Experience analyzing text-heavy or unstructured datasets.
- Familiarity with Python, R, notebooks, or business intelligence tools.
- Experience with B2B SaaS, data products, or analytics platforms.
- Customer-facing experience in strategy, consulting, solutions, or insights roles.
- Experience developing benchmarks, measurement frameworks, or analytical methodologies used across multiple customers.

## Compensation and Benefits
- Equity in a fast-growing startup.
- Competitive benefits package tailored to location.
- Flexible time off policy.
- Parental leave.

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