Quick Summary
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,
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.
Responsibilities
~1 min readExecutive & 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
- 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
Requirements
~1 min read- 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
~1 min read- Pigment experience
- Salesforce, Gong, Clari, Outreach/Salesloft, Segment, or Amplitude
- Claude Code or MCP-based data access experience
- dbt, Python, or analytics engineering background
- B2B enterprise SaaS experience
- Familiarity with complex, multi-segment sales/forecasting motions
- Sales leadership relies on insights for pipeline, forecast, capacity planning
- Risks surfaced early, not just reported
- Dashboards/AI skills used in every pipeline review and QBR
- Growing library of reusable analytics skills reduces one-off requests
- Planning cycles run on these models
- Data is trusted, consistent, embedded in workflows
Location & Eligibility
Listing Details
- Posted
- July 23, 2026
- First seen
- July 23, 2026
- Last seen
- July 24, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 70%
- Scored at
- July 23, 2026
Signal breakdown

Pigment is a cutting-edge planning platform designed for agility and scale, empowering businesses to make informed decisions and adapt quickly to changes.
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