Senior Product Data Analytics Lead

Salesforce, Inc.; Denver (CO); On-site; USD 173,000 - 260,000; Full time

Job summary

Salesforce, Inc. is seeking a Staff Product Data Analyst within the Data & Insights team at Slack to drive data-driven decisions and product improvements.

You will partner with product, engineering, Go-to-Market, and other data teams to deliver high-impact analyses that inform strategy and product direction. You will also build AI-powered analytics automations to streamline reporting and empower teams with fast, self-serve insights, while collaborating with Data Engineering to ensure trusted

Qualifications

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

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 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.

Skills

Analytics experience

SQL

Python or R

Communication skills

Education

Related technical degree

Tools

Tableau

Looker

Job description

Salesforce, Inc. is seeking a Staff Product Data Analyst within the Data & Insights team at Slack to drive data-driven decisions and product improvements.

You will partner with product, engineering, Go-to-Market, and other data teams to deliver high-impact analyses that inform strategy and product direction. You will also build AI-powered analytics automations to streamline reporting and empower teams with fast, self-serve insights, while collaborating with Data Engineering to ensure trusted