Staff Business Data Scientist

Salesforce

. Partner with Slack Growth teams to understand business drivers and accelerate growth .

Posted 10/2/2026full-timeUnited StatesLead💰 $172,500 - $260,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates advanced proficiency in SQL and data science programming languages such as Python or R, with a strong foundation in statistics and analytical problem-solving. Capable of synthesizing insights and communicating complex findings to influence strategic decision-making and identify growth opportunities.

Highest-signal resume keywords

Advanced Proficiency In SQLData Science Programming (Python, R, Scala)Statistical Analysis And ExperimentationGrowth-Focused Experiment DesignCollaboration With Marketing And Growth Teams

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Quantitative AnalysisStatistical AnalysisCausal InferenceMachine LearningData Modeling

Soft Skills

CommunicationAnalytical Problem-Solving

Tools & Technologies

AI ToolsSelf-Service Reporting Tools

Certifications & Qualifications

BS Degree In Quantitative FieldAdvanced Degree (MS, PhD) Preferred

Industry Keywords

Growth OpportunitiesData EngineeringBusiness StrategyGo-To-MarketCustomer Behavior

Tech Stack

Tools & technologies

PythonScalaSQLGo

About the role

Key responsibilities & impact

Partner with Slack Growth teams to understand business drivers and accelerate growth
Synthesize insights into crisp narratives and present them to senior leadership
Develop frameworks for identifying patterns and trends in customer behavior
Build self-service tools and reports to empower data self-sufficiency and improve awareness of key metrics
Work with Data Engineering teams to build core data models supporting operational and exploratory data analyses
Partner with Data Engineering, Business Strategy & Operations, Go-To-Market, Product, Design, and Engineering teams to identify growth opportunities, forecast performance, and deliver analyses and models

Requirements

What you’ll need

5+ years of professional industry experience doing quantitative analysis
A related technical degree required
BS degree in a quantitative field such as Computer Science, Economics, or Physics
Advanced proficiency in SQL
Proficiency in at least one data science programming language such as Python, R, or Scala
Strong foundation in statistics, experimentation, causal inference, ML, and analytical problem-solving
Proven ability to communicate complex analytical findings to influence stakeholders and strategic decision making
Advanced degree (MS, PhD) is a strong plus
Experience designing, running, and analyzing growth-focused experiments preferred
Experience applying analytics to uncover potential growth opportunities preferred
Successful collaboration with Marketing, Growth, Go-To-Market, and/or Lifecycle teams preferred
Experience using AI / agentic tools for analysis and building reusable analytical tools preferred

Benefits

Comp & perks

Time off programs
Medical insurance
Dental insurance
Vision insurance
Mental health support
Paid parental leave
Life insurance
Disability insurance
401(k)
Employee stock purchasing program
Incentive compensation may be available for certain roles
Equity may be available for certain roles
Benefits may be available for certain roles