[Plataformas Corporativas] Sênior Analytics Engineer

Stone Co.

WorldwideFully remoteFull TimeSeniorInformation Technology
Posted 1h ago

Why we think you can apply

Hiring model
Open worldwide · the employer states no country restriction
Work from
Anywhere, the UAE included

Posted 1 hour ago · apply link checked 25 minutes ago

About the role

Responsibilities

  • Measure tool usage, adoption, cost and satisfaction for corporate tools
  • Generate usage and cost data supporting vendor renewals
  • Analyze volume, cycle time, SLA and bottlenecks in Service Management flows
  • Conduct end-to-end studies with opportunity sizing and business cases
  • Build and maintain layered data models with documentation and single metric definitions
  • Create executive and operational dashboards tied to decisions
  • Automate recurring data collection with SQL and Python

Requirements

  • Analytics and data products that drove decisions
  • Advanced SQL and cloud data platform experience (Databricks, BigQuery)
  • Dashboard creation for executive and operational audiences
  • Strategic communication of complex topics
  • Critical thinking on metrics and data limitations
  • Data privacy care: LGPD, anonymization, access control

Preferred Qualifications

  • Python for exploratory analysis and automation
  • ITSM data experience (ServiceNow, Jira Service Management)
  • People analytics or HR data
  • Product and discovery background

Benefits

  • Fixed salary and variable compensation (PLR, ILP or commission, by eligibility)
  • Health and dental plan with co-payment
  • 24/7 virtual telemedicine team
  • Meal and food vouchers
  • Childcare allowance and life insurance
  • Fuel or commuting allowance
  • Home office allowance for hybrid or remote contracts
  • Education benefit via internal self-development platform
  • Emotional support and wellness programs

About the Company

Stone is Brazil's largest independent payments company, with over fifteen thousand people across the country.

What we look for

  • Analytics and data products that drove decisions
  • Advanced SQL and cloud data platform experience (Databricks, BigQuery)
  • Dashboard creation for executive and operational audiences
  • Strategic communication of complex topics
  • Critical thinking on metrics and data limitations
  • Data privacy care: LGPD, anonymization, access control
  • Python for exploratory analysis and automation
  • ITSM data experience (ServiceNow, Jira Service Management)
  • People analytics or HR data
  • Product and discovery background
PythonSQLData ManagementBusiness IntelligenceJiraData AnalysisConfluenceBigQueryDatabricksITILServiceNow
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