SalesforceSenior Product Data Analyst
Salesforce is hiring a Senior Product Data Analyst for a remote role open to applicants in United States. It pays $173k-$260k a year and Level rates it ; you can apply on Salesforce.
Level's read on this job
- On Level's scale, this data analyst role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Pay on this posting starts 51% higher than the typical data analyst posting on Level.
- This is listed as a remote role.
- The posting mentions SQL, AI Analytics Automations and AI agents among its tools and skills.
- Salesforce has 1,500+ other open roles on Level.
AI in this role
Senior Product Data Analyst building AI-powered analytics automations and driving product growth and performance insights at 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 Category
ProductJob 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.
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 $172,500 - $260,100 annually. In select cities within the San Francisco and New York City metropolitan area, the base salary range for this role is $207,800 - $285,800 annually. The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.How we rate this
Senior Product Data Analyst at Salesforce rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data analyst jobs at this level
Pay
- This job starts at
- $173k
- Typical data analyst job
- $114k
This posting starts 51% above the typical data analyst job. See data analyst jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where product analytics was part of your work. What did you do?
- Tell me about a project where data modeling was part of your work. What did you do?
- Tell me about a project where metric design was part of your work. What did you do?
- Tell me about a project where sql was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Product Analytics, Data Modeling, Metric Design, and SQL. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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