PLG - Lead Analyst, Growth Analytics

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Marketing & Communications Job Details 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 We're seeking a Lead Analyst, Growth Analytics to join the Product-Led Growth (PLG) Analytics team at Salesforce. This role is the analytical backbone of our PLG engine — responsible for building the data infrastructure, owning funnel analytics, and translating data into clear, actionable insights that drive new logo growth. You'll sit at the intersection of data engineering, business analytics, and growth strategy — working closely with our Director of Analytics and partnering with centralized data science, marketing, product, and GTM teams. You're hands-on first: you build things, you own things, and you make the team's analytical capability stronger every day. KEY RESPONSIBILITIES Analytics & Data Infrastructure : Build, maintain, and improve the PLG data infrastructure, including datasets that power end-to-end funnel analytics from top-of-funnel acquisition through monetization, expansion, and retention. Partner with data engineering to develop and maintain a single source of truth for PLG performance data, ensuring accuracy, reliability, and scalability Define, track, and evolve key PLG metrics — including CAC, LTV, free-to-pay conversion, trial conversion, and PQL performance — creating dashboards and reports that are clear, trusted, and widely adopted. Set standards and best practices for data visualization and dashboard creation within the PLG analytics function. Funnel Analytics & Experimentation: Lead complex funnel diagnostics, identifying conversion gaps and high-impact opportunities across the self-serve funnel. Design, execute, and analyze A/B and multivariate experiments with strong statistical rigor, translating results into clear recommendations. Support attribution modeling work in partnership with centralized data science teams, contributing to a clearer understanding of channel contribution and PQL conversion paths. Proactively conduct analyses that anticipate business needs rather than waiting to be asked. Stakeholder Collaboration & Communication: Partner directly with director-level stakeholders across Marketing, Product, GTM, and Sales to align on metrics, priorities, and analytical deliverables. Translate complex analytical findings into audience-appropriate language — clear, concise narratives and visualizations that enable decision-making without requiring the audience to interpret the data themselves. Participate in the development and ongoing maintenance of the team-level PLG analytics roadmap . Coach and mentor junior team members , including supporting the Growth Analyst in developing their analytical skills and data fluency REQUIRED EXPERIENCE & QUALIFICATIONS 5–7 years of experience in growth analytics, digital marketing analytics, or product analytics, preferably in a SaaS or B2B environment. Expert proficiency in SQL. Advanced Tableau or equivalent data visualization tool. Working knowledge of dbt. Demonstrated experience leading end-to-end analytical projects independently — from scoping through delivery — in ambiguous, fast-moving environments. Strong working knowledge of A/B testing and experimentation design, including statistical significance, power analysis, and causal inference techniques. Experience building or contributing to data pipelines and datasets in collaboration with data engineering teams. Solid understanding of PLG or self-serve SaaS funnels, including conversion metrics, funnel diagnostics, and attribution modeling. Strong communication skills — able to lead discussions with senior stakeholders and present complex findings with clarity and confidence Familiarity with AI tools and the ability to apply them to improve analytical workflows and efficiency. NOTE : By applying to the Analytics Lead posting recruiters and hiring managers across the organization hiring these roles will review your resume. Our goal is for you to apply once and have your resume reviewed by multiple hiring teams. BENEFITS & PERKS Comprehensive benefits package including well-being reimbursement, generous parental leave, adoption assistance, fertility benefits, and more! World-class enablement and on-demand training with Trailhead.com Exposure to executive thought leaders and regular 1:1 coaching with leadership Volunteer opportunities and participation in our 1:1:1 model for giving back to the community For more details, visit https://www.salesforcebenefits.com/ In school, or graduated within the past 12 months? Please visit FutureForce for opportunities. 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. 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