Senior Analyst, Strategy & Data

Salesforce•San Francisco, CA

1d•$99,400 - $163,500

About The Position

The Strategic Technology Partnerships (STP) team at Salesforce drives market-defining alliances with hyperscalers like AWS and Google, and AI labs like OpenAI and Anthropic. As a Strategy & Data Senior Analyst, you'll sit at the center of how STP 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.

Requirements

4–6 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

Nice To Haves

SQL proficiency for data querying and exploration
Experience with Claude Code 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

Responsibilities

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 Codex
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