Senior AI Data Analyst - Sales at Pigment
New York, NY
$160,000from the description
Jul 22, 2026
New York, NY
Jul 24, 2026
What this job asks for AI summary
A senior analytics role focused on the global sales organization, covering pipeline health, revenue forecasting, and sales capacity planning. The position involves building dashboards, data pipelines, and planning models, while also contributing to an internal AI analytics layer by authoring reusable, version-controlled analytical "skills." It suits an experienced data or analytics professional with a strong SaaS sales metrics background and interest in AI-assisted workflows.
Senior level · 5+ years · New York-Newark-Jersey City, NY-NJ-PA · Full-time
“or” means any one of them counts — you don't need all of them.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 30 people in the New York-Newark-Jersey City, NY-NJ-PA area plausibly meet what this posting asks for (operations research analysts). range 15–60
Applicant volume Moderate — A normal amount of company. The rare requirements below are what will separate a shortlisted application from the rest.
Rare in this occupation — lead with these, and say what you built with them.
Most people in this occupation already list these. Still required — just not what gets you shortlisted.
What the occupation pays Median $105,377 (middle half $70,620–$142,915). This posting is about at that midpoint.
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (9)
The role spans BI/reporting, data pipeline design, and AI-native analytics engineering — it sits between 15-2031 (Operations Research/BI Analysts) and 15-1243 (Database/Data Architects). The primary day-to-day work is analytics and insight delivery for the GTM/Sales org, so 15-2031 is the primary code, with 15-1243 as the runner-up given the data architecture and pipeline responsibilities.
Compensation is stated as '$160k OTE', which implies a base + variable structure typical of a quota-carrying or bonus-eligible role. The single figure is treated as the total comp target; no separate base/bonus split is disclosed.
The posting lists multiple office locations (Paris, London, New York, Toronto, San Francisco, Austin) but does not specify which location this role is based in or whether it is remote. New York is used as the CBSA given it is the most prominent US hub listed and the role supports a global Sales org.
Snowflake, BigQuery, and Redshift are listed together as a single 'or' requirement under Required Qualifications; Snowflake is named first and is also the company's own data warehouse partner, so it is used as the primary with the others as alternatives.
Looker, Tableau, Power BI, and Mode are listed together as a single BI/planning tools requirement; Looker is used as the primary with the others as alternatives.
The 'AI-native analytics' interest (LLM-assisted analysis, skills-as-code) is listed under Required Qualifications with the phrase 'Genuine interest in', which is softer than a hard gate but sits in the required section — marked as required accordingly.
GitHub is referenced in the required responsibilities section (version-controlled code in GitHub) rather than an explicit qualifications list; it is treated as a hard gate given the role's core AI skills-as-code workflow depends on it.
Pigment platform experience appears both in Required Qualifications (as a BI/planning tool) and again under Nice to Have — the required mention is the operative one.
The 5–8+ years range maps to the overall years minimum of 5.
Read the full posting
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