Senior Sales Data Analyst (SaaS)

Location: Hybrid in São Paulo, Brazil

Company

hirify.global provides a SaaS customer engagement platform that uses messaging, journey orchestration, and AI-powered decisioning to help brands create personalized customer experiences.

What you will do

• Generate quarterly marketing and sales performance reports for sales leadership, the C-suite, and the board of directors.
• Design, build, and manage KPI reports and dashboards.
• Document sales tools, procedures, and policies.
• Support regional sales leadership with Quarterly Business Reviews by identifying strengths and improvement areas through data analysis.
• Develop standardized reports and documentation that enable the go-to-market organization to access and use data independently.
• Consolidate critical KPI reporting into a clear, cohesive format.

Requirements

• 2+ years of experience in business intelligence or a quantitative field such as business analytics, data science, or financial analysis.
• Strong proficiency with Microsoft Excel and Salesforce CRM.
• Strong analytical, organizational, problem-solving, and communication skills.
• Bachelor’s degree in finance, accounting, economics, or a related field preferred.
• Excellent written and verbal English communication skills.
• Prior experience in a SaaS business strongly preferred.

Nice to have

• Experience with Looker or Tableau.
• Experience supporting sales organizations and executive reporting.

Culture & Benefits

• Hybrid work model with a curated in-office experience focused on community, connection, and innovation.
• Competitive compensation that may include equity.
• Flexible paid time off and comprehensive medical, dental, vision, life, and disability benefits.
• Retirement and Employee Stock Purchase Plans.
• Family services, fertility benefits, and equal paid parental leave.
• Professional development through career pathing, learning platforms, and an annual learning stipend.

Hiring process

• Recruitment may include AI-assisted application screening, interview scheduling, recording, and note summarization.
• Recruiting teams remain involved in hiring decisions, with options for manual review or opting out of AI-assisted review depending on location.