Senior Product Data Analyst

Slack•Atlanta, GA

5d•$172,500 - $285,800

About The Position

The Staff Product Data Analyst role is part of the Data & Insights team at Slack, which is part of Salesforce. The team turns trusted data into insights that accelerate the growth and performance of the Slack product. The analyst partners with leaders across Product, Engineering, Go-to-Market, and other data teams to solve complex product and business problems. Their analysis shapes strategic decisions and helps teams deliver better experiences for users and customers. The role also builds AI-powered analytics automations for routine reporting, enabling more focus on high-impact analysis and storytelling. These automations and insights help teams make better decisions independently.

Requirements

A related technical degree.
7+ years of experience applying analytics to solve complex product or business problems.
Advanced proficiency in SQL and experience with at least one analytics programming language, such as Python or R.
Ability to independently define ambiguous problems, develop analytical approaches, and lead initiatives from concept through implementation.

Nice To Haves

Experience building scalable Business Intelligence solutions in Tableau or Looker.
Experience creating self-service analytics experiences.
Outstanding communication and storytelling skills, with experience presenting to executive audiences.
Experience working in a technology company.

Responsibilities

Lead product analytics projects from data modeling and metric design through advanced analysis and implementation, and influence senior stakeholders with concise, executive-ready recommendations.
Design scalable analytical frameworks and standard product metrics to measure performance and identify trends consistently across teams.
Build AI-powered analytics and data automations that connect product usage, customer engagement, and business outcomes into workflows stakeholders can use to answer their own questions.
Collaborate with Data Engineering to design and maintain trusted data models supporting operational reporting and advanced analytics.