Senior Data Analyst

Curacity; Atlanta (GA); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Curacity, a hospitality technology company, seeks a data-driven professional to measure client visibility in AI answers and trace how published content informs AI systems. You will design robust measurement frameworks and report changes over time to guide client strategy.

The role emphasizes fluency with AI tools, SQL as a baseline skill, and high-volume analytical work. You will work in a hybrid setting across New York and Atlanta, collaborating with a small, tooling-focused team.

Qualifications

• Fluency with AI concepts, agents, reusable skills, and LLM-assisted analysis.

Responsibilities

• Own the metrics that define how clients show up in AI answers and how movement over time is measured.
• Design sampling standards, baselines, comparison groups, and uncertainty for every figure reported.
• Maintain prompt panels and reports across engines, topics, and markets.
• Report change over time: what moved, by how much, in which direction, and whether it was caused by Curacity.

Job description

Location: New York City (Hybrid) or Atlanta, GA

Reports to: VP of Product

About Curacity

Curacity is a hospitality technology company building a two-sided marketplace that connects travel brands with the publishers and content creators whose editorial authority drives discovery. The platform coordinates original editorial content across an independent creator network and measures the outcomes that content produces — for both human audiences and AI systems.

Curacity VISTA turns authoritative media visibility into measurable demand for hotels, cruise lines, and destinations. VISTA AI helps customers understand and improve how their brands appear in AI-generated travel recommendations — measuring signals such as mentions, citations, topics, sentiment, and competitive position — and provides the intelligence that determines which editorial coverage should be created next.

The Opportunity

Travelers increasingly decide where to stay by asking an AI system. Vista AI exists to make sure our clients' properties are among the answers — and to prove, credibly, that our work is why.

This role owns that proof. You will measure how often and how favorably clients appear across the major AI search and chat systems, trace which published content the models actually draw on, and connect movement in AI visibility to what happens downstream on client websites. You will also read a great deal of AI-generated text closely and judge its quality, because the numbers only mean something if someone has looked carefully at what the models are saying.

What makes this hard is that the thing being measured keeps moving. Ask the same question twice and you may get different answers. Providers update their models without notice, and a client's visibility can rise or fall for reasons that have nothing to do with anything we did. So the core skill is not running the measurement — it is designing measurement that can tell a real change from an ordinary fluctuation, and being willing to report that a result is inconclusive when it is.

We are a small team, and we expect this person to multiply themselves with tooling rather than absorb more hours. Fluency with AI — agents, reusable skills, LLM-assisted analysis — is a core qualification here, not a bonus line at the bottom of the posting. Writing good SQL is table stakes; what distinguishes a strong candidate is having already used these tools to do analytical work faster and at higher volume than a person could unaided, and having the judgment to know which outputs need verification before anyone acts on them.

What You'll Own

AI Visibility & Change Measurement

• Own the metrics that define how clients show up in AI answers: how often they appear, how they are ranked and described, how they compare to a defined competitive set, and how all of that moves over time.
• Design measurement that can distinguish a real change from ordinary variation — sampling standards, baselines, comparison groups, and stated uncertainty on every figure reported.
• Maintain the tracked-prompt panels that measurement runs against, across engines, topics, and markets.
• Report change over time as the primary output: what moved, by how much, in which direction, and whether the movement is attributable to anything we did.

Evidence & Citations

• Trace which sources AI systems draw on for a given topic and market, and characterize the mix — client-owned sites, publishers and press, travel platforms, destination organizations, social, and the rest.
• Link published content to whether and how it later shows up as evidence in AI answers, and how long that takes and lasts.