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Salesforce

Senior Product Data Analyst

  • Office
  • 6+ years

Salary

Not stated

Similar roles pay $110K - 145K a year · our estimate

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Description

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

Product

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.

Applications will be accepted until 11/24/2026.

What You'll Be Doing & Why It Matters

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. You partner with leaders across Product, Engineering, Go-to-Market, and other data teams to solve complex product and business problems, and your analysis shapes strategic decisions and helps teams deliver better experiences for users and customers.

You also build AI-powered analytics automations that handle routine reporting, so you can focus on high-impact analysis and storytelling. Together, these automations and insights help teams make better decisions on their own.

Core Responsibilities & Scope

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 that 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 that stakeholders use to answer their own questions.

Collaborate with Data Engineering to design and maintain trusted data models that support operational reporting and advanced analytics.

Minimum Requirements

A related technical degree required.

7+ years of experience applying analytics to solve complex product or business problems.

Advanced proficiency in Structured Query Language (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.

Preferred Qualifications

Experience building scalable Business Intelligence (BI) 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.

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.

Where you’d work

From the office

About the company

Salesforce

  • Industry: SaaS

Offices in San Francisco, United States, Chicago, United States, New York, United States, Denver, United States, Atlanta, United States, Seattle, United States, United States

Also hiring in Amsterdam, Netherlands, London, United Kingdom, Austin, United States and 27 more places

31 of their 315 open roles are remote

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  • Must-haves
Details12 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • SQL
  • Tableau
  • Looker
Seniority
Senior
Type
Full-time
Industry
SaaS
Specialty
Data Analyst
Region
United States
Show 6 more factsShow less

Role

Category
Data & Analytics
Specialty
Data Analyst
Seniority
Senior
Experience
7+ years
Tech stack
  • Python
  • SQL
  • Tableau
  • Looker

Location

Work model
Office
Region
United States
Offices
  • San Francisco, United States
  • Chicago, United States
  • New York, United States
  • Denver, United States
  • Atlanta, United States
  • Seattle, United States
  • United States

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
SaaS

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