[Remote] Sales Analytics Manager
Note: The job is a remote job and is open to candidates in USA. Abnormal AI is looking for a Sales Analytics Manager to join the Field Operations team. This role is responsible for owning the analytics ecosystem for sales, driving performance measurement, forecasting, and data-driven decision-making across the revenue organization.
Responsibilities
- Lead the global rollout of Gong Forecasting across the full AE organization, driving platform adoption, building executive forecast dashboards for CRO-level visibility, and designing AE/RD 1:1 coaching dashboards for Sales Leadership
- Own and evolve the Sigma Computing reporting ecosystem—including Activity Analytics, EOQ Retro, Metrics That Matter, and the GTM Reporting Catalog—replacing manual spreadsheet workflows with scalable, governed BI solutions
- Apply an AI-first approach to analytics: lead a formal Sigma AI POC, identify high-impact use cases where AI reduces time-to-answer for Sales Leadership, and deliver a strategic FY27 roadmap for AI-driven self-service analytics built on Snowflake AI
- Architect and execute the Salesforce Opportunity Split framework end-to-end—from technical requirements and Finance sign-off through pilot deployment, downstream impact analysis, and full Snowflake/Sigma data pipeline parity
- Drive GTM Data Governance by owning the cross-functional Data Dictionary, relaunching the Reporting Council, and formalizing the KPI sign-off and metric codification process with Data Engineering
- Define and document the strategic Reporting Strategy vision, including target-state outcomes, Gold Standard certified reports, and a scalable self-service analytics framework
- Partner with Sales Enablement and Field Operations to build training programs, enablement materials, and adoption strategies that drive lasting behavior change across the revenue organization
- Conduct deep-dive analyses to surface pipeline health trends, forecast risks, and performance gaps—translating findings into clear recommendations for Sales and GTM leadership
Skills
- 5+ years in Sales Analytics, Revenue Operations, or GTM Analytics at a B2B SaaS company
- Sigma Computing: production-level experience building and maintaining dashboards, workbooks, and self-service reporting layers for revenue teams
- Gong: hands-on experience with Gong Forecasting configuration, dashboard development, and driving platform rollouts across an AE organization
- Snowflake: proficiency querying and building on Snowflake as a data warehouse; familiarity with Snowflake AI / Cortex features
- Salesforce: deep understanding of the Salesforce data model including Opportunity objects, pipeline mechanics, and Opportunity Splits
- SQL: strong SQL skills for pipeline validation, ad hoc analysis, and data quality debugging
- AI-first mindset: demonstrated experience evaluating and deploying AI tools within analytics workflows, with a clear point of view on where AI creates leverage in GTM contexts
- Executive communication: ability to translate complex data architecture and analytics decisions into concise, actionable recommendations for CRO-level stakeholders
- Experience owning or contributing to data governance programs: data dictionaries, KPI standardization, reporting councils, or metric sign-off frameworks
- Familiarity with dbt, Fivetran, or modern ELT tooling upstream of Sigma/Snowflake
- Experience building AE or Sales Manager enablement strategies tied to data platform adoption (e.g., Articulate 360, Highspot)
- Prior experience in a Field Operations or RevOps function at a company scaling past $300M ARR
- Bachelor's degree in a quantitative field (Business Analytics, Statistics, Computer Science, or related); advanced degree a plus
Benefits
- Bonus or incentive compensation
- Equity
- A comprehensive benefits package
Company Overview
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