Senior Product Data Analyst, Slack

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 CategoryProduct Job Details About SalesforceSalesforce 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. We are looking for a Senior Product Data Analyst to design, build, and maintain scalable reporting and analytics frameworks that enable data-informed product decisions. In this role, you will focus on structuring product data, building trusted dashboards, and ensuring stakeholders have access to accurate, reliable, and actionable insights. You will work closely with Product, Design, Engineering, and Data Engineering teams to define metrics, build dashboards, and create a unified view of product performance. This role is ideal for someone who is passionate about data architecture, visualization, and analytics enablement, helping teams make better decisions through accessible data. At Slack, we foster a positive, diverse, and supportive culture. We look for people who are curious, detail-oriented, and motivated to improve how teams use data every day. Our team values being smart, humble, hardworking, and above all, collaborative. What you will be doing: * Design, build, and maintain dashboards and reports that provide visibility into product usage, performance, and trends. * Partner with Product, Design, and Engineering teams to define key product metrics and ensure consistent, accurate measurement. * Architect and maintain scalable, reliable data pipelines and analytics frameworks in collaboration with Data Engineering and data platform teams. * Translate business and product questions into clear analytical views, enabling stakeholders to self-serve insights. * Develop compelling data visualizations and narratives to help teams and leadership understand product performance. * Monitor product health metrics and proactively surface trends, anomalies, and areas of opportunity. * Contribute to data governance, metric standardization, and documentation to ensure analytics accuracy and usability. * Support recurring reporting needs for product reviews, planning cycles, and executive dashboards. * Act as a trusted analytics partner, helping teams interpret data and ask better questions. What you should have: * 5+ years of experience in product analytics, business intelligence, or data analysis, preferably in technology product development or enterprise software. * Strong expertise in data visualization and dashboarding tools, particularly Tableau; experience with other BI tools is a plus. * Proficiency in SQL and experience working with structured, large-scale datasets. * Experience designing and maintaining scalable, reliable data pipelines and analytics architectures. * Strong understanding of product metrics and KPI development (e.g., adoption, engagement, retention, feature usage). * Ability to communicate insights clearly and concisely to non-technical audiences through visuals, dashboards, and presentations. * Experience collaborating with cross-functional partners, including Product, Engineering, and Data Engineering teams. * Strong attention to detail and data quality, with a commitment to building trusted, reliable reporting. * Ability to manage multiple requests and prioritize effectively in a fast-paced environment. * A re