Senior Manager, Analytics & Insights | United States | Remote
Senior analytics leader partnering with GTM and Finance to build dashboards, data models, and insights that drive predictable revenue operations and strategic decisions. Requires strong SQL, data visualization, ETL experience, and sales analytics expertise.
What You’ll Be Doing
- Design reliable, accurate, powerful, and easy-to-use dashboarding, tooling, and reporting to support Sales and operational teams
- Develop reliable, accurate data models to help define financial and business performance metrics, from source data down through user-friendly reporting layers
- Lead cross-functional projects to develop tooling and datasets in support of the needs of operational teams; provide continuous enablement for these teams to self-serve basic data needs
- Optimize the information design across the GTM technology stack to enable the development of marketing, sales, and financial analytics
- Work closely with GTM leadership to prepare thoughtful analysis and insights for senior leadership
- Manage urgent ad-hoc data analysis and QA support requests
What Makes You a Great Fit
- Experience in a Sales or GTM organization, and familiar with common sales models like rep productivity, rep capacity, campaign influence, and quota modeling
- 5+ years of SQL experience: writing complex yet efficient SQL is a daily habit for you
- 3+ years of data visualization experience with one of the following tools: Tableau, Looker, Mode Analytics, Sisense
- Experience getting your hands dirty performing production-ready, user-focused data model development / building ETLs; familiarity with popular data warehouses (BigQuery, Snowflake, etc.)
- Experience with the following: Salesforce, BigQuery, dbt, NetSuite
- Excellent communication skills with senior management audiences—explain “what it is”, “why it matters”, and “what should we do” in terms of your data and analysis; deliver user-oriented datasets, KPIs, dashboards, and runbooks
- Previous experience with Grafana visualization, or a desire to invest the time to learn
Bonus Points For
- Knowledge of financial metrics, revenue recognition
- 3+ years of production data model development
- 1+ years of Python / Spark / Scala - familiar with statistical and machine learning packages, as well as generating ad-hoc ETL jobs
- Project management experience
- Experience with documentation of datasets and tooling for MCP server ingestion, construction of AI skills and plugins
- Experience as a user of any of the following tools: Jira, Asana, Databricks, GitHub, Hightouch, Fivetran
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