Data Analytics Lead

The Global Partnerships (GP) team at Salesforce drives market-defining alliances with consulting partners, hyperscalers, and AI labs. As a Data Analytics & Engineering Lead you’ll sit at the center of how GP understands, measures, and grows its business - translating complex revenue and consumption data into clear insights that shape executive decisions. This role is for someone who doesn’t just analyze problems but drives them through to impact.

• Lead the analysis and discovery of key sales performance and consumption metrics, including pipeline, bookings, and growth indicators
• Build and maintain executive-ready dashboards and data visualizations that deliver revenue and consumption insights to leadership
• Develop strategic recommendations based on quantitative and qualitative analysis to support high-stakes decision making
• Collaborate with Data Engineering and Product to curate data tables and evolve reporting infrastructure, accelerating time to insight using AI tools like Claude and Code
• Partner cross-functionally with Finance, Product, and Operations to align on success metrics, target setting, and partner telemetry
• Monitor and analyze business trends and performance on an ongoing basis, surfacing actionable insights proactively

• 6+ years of experience building and interpreting complex datasets in a GTM, Sales, or Product analytics context at a consulting firm or high-growth SaaS company; B2B experience preferred
• Strong analytical and strategic thinking skills, with demonstrated experience building models and analyzing complex datasets using Excel and/or Tableau
• Ability to lead through ambiguity — prioritizing effectively, cutting through noise, and executing with limited information
• Exceptional written, verbal, and presentation skills, including experience communicating with senior leaders and building executive-facing decks that convey actionable insight
• Proven ability to work independently with minimal supervision, delivering high-quality, accurate work in fast-moving environments
• A collaborative approach to working across teams — building trust, taking ownership, and bringing others along

• SQL proficiency for data querying and exploration
• Experience with Tableau, Snowflake, Claude Code, and/or similar AI-assisted coding tools to accelerate analysis
• Familiarity with partner ecosystems, Hyperscaler GTM motions, or AI labs partnerships
• Prior experience supporting C-suite or VP-level business reviews
• Related degree or equivalent relevant experience