Data Analytics Lead

Enboarder; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Salesforce is seeking a Data Analytics & Engineering Lead for the Global Partnerships team in San Francisco. You will translate complex revenue and consumption data into clear insights that shape executive decisions, driving impact beyond analysis.

You will lead analysis of key sales metrics, build dashboards for leadership, and collaborate with Data Engineering and Product to accelerate time to insight using AI tools. Strong communication with senior leaders is essential.

Qualifications

• 6+ years of experience building and interpreting complex datasets in GTM, Sales, or Product analytics contexts.
• Strong analytical and strategic thinking with experience building models and analyzing datasets using Excel and/or Tableau.
• Ability to lead through ambiguity and execute with minimal information.
• Experience communicating with senior leaders and building executive-facing decks.
• Proven ability to work independently in fast-moving environments.
• Collaborative approach across teams, building trust and ownership.

Responsibilities

• Lead analysis and discovery of key sales performance and consumption metrics (pipeline, bookings, growth).
• Build and maintain executive-ready dashboards and visualizations for leadership.
• Develop strategic recommendations based on quantitative and qualitative analysis for high-stakes decisions.
• Collaborate with Data Engineering and Product to curate data tables and evolve reporting infrastructure, leveraging AI tools like Claude Code.
• Partner with Finance, Product, and Operations to align on success metrics and telemetry.
• Monitor business trends and performance, surfacing actionable insights proactively.

Skills

GTM analytics

Executive dashboards

Data visualization

Excel

Tableau

Analytical thinking

Education

Bachelor's degree

Tools

Tableau

Snowflake

Claude Code

Job description

About the Role

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.

What You’ll Be Doing

• 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

What We’re Looking For

• 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

Preferred Qualifications

• 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