Senior AI Data Analyst - Sales (New York)

New YorkBusiness – Support /Full Time /HybridJoin Pigment: The AI Platform Redefining Business PlanningPigment 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 TeamOwns 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 ComponentContributes to GTM Cortex, the company's GTM analytics/orchestration layer:Builds analytical skills as version-controlled code (atomic to composite), tested and maintained in GitHubWorks in Claude Code, querying live Pigment data through the Pigment MCPReferences a central KPI Catalog rather than redefining metrics ad hocConverts recurring sales questions into reusable skills instead of one-off analysesDrives adoption of Analyst/Modeler AI agents across SalesKey ResponsibilitiesExecutive & Operational AnalyticsOwns dashboards: pipeline generation, coverage, forecast, win rates, sales cycle, quota attainment, ARR, net-new vs. expansionBuilds Pigment models and opportunity-level datasets for pipeline, capacity, revenueStandardizes metrics/definitions across teams and regionsPlanning & Capacity ModelingAnalytics backbone for annual and in-year sales planning cyclesBuilds/maintains capacity, quota, productivity models in PigmentModels headcount and territory scenarios; runs what-if analysis against historical performanceData Architecture & AutomationDesigns data pipelines from Salesforce, Pigment, Gong, Netsuite, etc.Partners with Data Engineering on dbt/warehouse transformationsBuilds AI skills on Pigment MCP for recurring reports and event-driven alertsOwns data quality, governance, documentationBusiness PartnershipAnalytics partner to Sales leadership and regional orgsAnswers questions like: what's driving win rate/cycle changes, where is coverage weakest, how does pipeline qualityEnablementBuilds role-based reporting for reps, managers, execsTrains Sales teams on data use in pipeline reviews, QBRs, forecast callsDrives adoption of AI-driven workflowsRequired Qualifications5–8+ years in Data Analytics, Analytics Engineering, or BIAdvanced SQL; experience with Snowflake/BigQuery/RedshiftStrong 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 planningGenuine interest in AI-native analytics (LLM-assisted analysis, skills-as-code, governed data access)Nice to HavePigment experienceSalesforce, Gong, Clari, Outreach/Salesloft, Segment, or AmplitudeClaude Code or MCP-based data access experiencedbt, Python, or analytics engineering backgroundB2B enterprise SaaS experienceFamiliarity with complex, multi-segment sales/forecasting motionsSuccess MetricsSales leadership relies on insights for pipeline, forecast, capacity planningRisks surfaced early, not just reportedDashboards/AI skills used in every pipeline review and QBRGrowing library of reusable analytics skills reduces one-off requestsPlanning cycles run on these modelsData is trusted, consistent, embedded in workflowsWe are targeting a total comp package of $160kOTE for this role We conduct background checks as part of our hiring process, in accordance with applicable laws and regulations in the countries where we operate. This may include verification of employment history, education, and, where legally permitted, criminal records. Any checks will be conducted lawfully prior to formal employment contracts being signed, with candidate consent, and information will be treated confidentially.Pigment is an equal opportunity employer. We believe diversity is a strength and fosters innovation. We are committed to enabling everyone to feel included and valued at the workplace. All qualified applicants will receive consideration for employment without regard to age, color, family, gender identity, marital status, national origin, physical or mental disability, sex (including pregnancy), sexual orientation, social origin, or any other characteristic protected by applicable laws. We may process your personal data in accordance with our HR Data Protection Notice.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.