Data Analytics Lead

Salesforce, Inc.; New York (NY); On-site; USD 123,000 - 186,000; Full time

Job summary

Salesforce, Inc. seeks a Data Analytics & Engineering Lead within the Global Partnerships team. You will translate complex revenue data into insights that shape executive decisions, leading dashboards and cross-functional analytics to drive growth and efficiency.

You will partner with Finance, Product, and Operations to align metrics, while leveraging AI tools to accelerate time to insight and support high-stakes decisions at the VP/CSuite level.

Qualifications

• 6+ years of experience in GTM, Sales, or Product analytics at a high-growth SaaS or consulting firm.
• Strong ability to build models and present executive-ready analyses.
• Experience communicating with senior leaders and stakeholders.

Responsibilities

• Lead analysis of key sales and consumption metrics, including pipeline and growth indicators.
• Create executive dashboards and data visuals delivering revenue insights.
• Develop strategic recommendations based on quantitative and qualitative analysis.
• Collaborate with Data Engineering and Product to evolve reporting infrastructure.

Skills

SQL proficiency

Tableau

Python

Data modeling

Excel

Education

Bachelor's degree in a quantitative field

Tools

Snowflake

Claude Code

Job description

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

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

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future - but to redefine what's possible - for yourself, for AI, and the world.

Accommodations

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form.

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Posting Statement

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.The typical base salary range for this position is $123,100 - $186,300 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $147,400 - $202,600 annually.The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.