Jobs and Careers

Senior AI Data Analyst - Sales

New York City, United Statesfull_timeVerifiedPosted 23 Jul 2026

About the role

Join Pigment: The AI Platform Redefining Business Planning

Pigment is the AI-powered business planning and performance management platform built for agility and scale. We connect people, data, and processes in one intuitive, feature-rich solution, empowering every team—from Finance to HR—to build, adapt, and align strategic plans in real time.

Founded in 2019, Pigment is one of the fastest-growing SaaS companies globally. Industry leaders like Unilever, Snowflake, Siemens, and DPD use Pigment daily to make more informed decisions and confidently navigate any scenario.

With a team of 600+ across Paris, London, New York, Toronto, San Francisco and Austin, we've raised nearly $400M from top-tier investors and were named a Visionary in the 2024 Gartner® Magic Quadrant™ for Financial Planning Software.

At Pigment, we take smart risks, celebrate bold ideas, and challenge the status quo—all while working as one team. If you're driven by innovation and ready to make an impact at scale, we’d love to hear from you.

Senior AI Data Analyst — GTM AI & Analytics Team

Owns the data strategy powering the global Sales org — pipeline health, forecasting, sales planning (capacity, quota, territory, headcount), and pipeline/revenue growth across enterprise accounts. Sits between analytics, data engineering, and business strategy; partners with Sales leadership, RevOps, Marketing, and Finance.

AI-Native Component
Contributes to GTM Cortex, the company's GTM analytics/orchestration layer:

Builds analytical "skills" as version-controlled code (atomic to composite), tested and maintained in GitHub
Works in Claude Code, querying live Pigment data through the Pigment MCP
References a central KPI Catalog rather than redefining metrics ad hoc
Converts recurring sales questions into reusable skills instead of one-off analyses
Drives adoption of Analyst/Modeler AI agents across Sales

Key Responsibilities

Executive & Operational Analytics

Owns dashboards: pipeline generation, coverage, forecast, win rates, sales cycle, quota attainment, ARR, net-new vs. expansion
Builds Pigment models and opportunity-level datasets for pipeline, capacity, revenue
Standardizes metrics/definitions across teams and regions

Planning & Capacity Modeling

Analytics backbone for annual and in-year sales planning cycles
Builds/maintains capacity, quota, productivity models in Pigment
Models headcount and territory scenarios; runs what-if analysis against historical performance

Data Architecture & Automation

Designs data pipelines from Salesforce, Pigment, Gong, Netsuite, etc.
Partners with Data Engineering on dbt/warehouse transformations
Builds AI skills on Pigment MCP for recurring reports and event-driven alerts
Owns data quality, governance, documentation

Business Partnership

Analytics partner to Sales leadership and regional orgs
Answers questions like: what's driving win rate/cycle changes, where is coverage weakest, how does pipeline quality

Enablement

Builds role-based reporting for reps, managers, execs
Trains Sales teams on data use in pipeline reviews, QBRs, forecast calls
Drives adoption of AI-driven workflows

Required Qualifications

5–8+ years in Data Analytics, Analytics Engineering, or BI
Advanced SQL; experience with Snowflake/BigQuery/Redshift
Strong SaaS/sales metrics background (ARR, pipeline gen, coverage, win rate, quota attainment, forecast accuracy)
Hands-on BI/planning tools (Pigment, Looker, Tableau, Power BI, Mode)
Experience supporting enterprise Sales/RevOps, including GTM planning
Genuine interest in AI-native analytics (LLM-assisted analysis, skills-as-code, governed data access)

Nice to Have