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DB

Product Analyst – Digital Business, Applications

DB

Product Analyst using data analytics to enhance digital solutions for urban mobility. Collaborating with cross-functional teams to drive product innovation and user satisfaction.

Posted 7/8/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in Product Analytics, utilizing advanced SQL and analytics tools to derive actionable insights and support data-driven product strategies. Proficient in conducting A/B tests, building dashboards, and collaborating with cross-functional teams to enhance user engagement and satisfaction.

Highest-signal resume keywords
Product Analytics ExperienceAdvanced SQL SkillsA/B Testing Design and AnalysisDashboard Building with Power BIQuantitative and Qualitative UX Research

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
SQLStatistical AnalysisData StorytellingUser Behavior AnalysisA/B TestingPerformance Metrics AnalysisQuantitative AnalysisQualitative AnalysisDashboard CreationProduct KPIs Definition
Soft Skills
Strong CommunicationCollaborationData-Driven Decision Making
Tools & Technologies
Microsoft ClarityGoogle AnalyticsHotjarUXCamPower BITableauLookerMetabase
Industry Keywords
Product ManagementProduct DiscoveryAgile Product TeamsUser EngagementCustomer Satisfaction

Tech Stack

Tools & technologies
SQLTableau

About the role

Key responsibilities & impact
  • Define product KPIs and establish measurement frameworks.
  • Implement and maintain analytics tools such as Microsoft Clarity, Google Analytics, Hotjar, UXCam, or similar.
  • Analyze user behavior to improve adoption, engagement, retention, and customer satisfaction.
  • Build dashboards and performance reports using BI tools.
  • Conduct quantitative and qualitative analysis to identify product opportunities.
  • Design, run, and evaluate A/B tests and experiments.
  • Provide statistical analysis and actionable recommendations.
  • Translate complex data into clear insights for technical and business stakeholders.
  • Support product strategy through data-driven recommendations.
  • Collaborate closely with Product Managers, Designers, Engineers, and cross-functional teams.
  • Support hypothesis generation, experimentation, and strategic product decisions.

Requirements

What you’ll need
  • Experience in Product Analytics or data-driven product environments.
  • Strong knowledge of quantitative and qualitative UX research methodologies.
  • Advanced SQL skills.
  • Experience with analytics platforms such as Microsoft Clarity, Hotjar, UXCam, Google Analytics, or similar.
  • Experience designing and analyzing A/B tests and product experiments.
  • Strong statistical analysis and hypothesis validation skills.
  • Experience building dashboards using Power BI, Tableau, Looker, or Metabase.
  • Ability to analyze product performance, user behavior, engagement, and adoption metrics.
  • Strong communication and data storytelling skills.
  • Experience working in agile product teams.
  • Familiarity with Product Management and Product Discovery frameworks.
  • Fluent English.

Benefits

Comp & perks
  • iFood voucher (food and meal benefit)
  • Allowance
  • Health insurance
  • Dental plan
  • Birthday day off
  • Life insurance
  • Extended maternity and paternity leave
  • Educational partnerships
  • TotalPass partnership – health and well-being
  • Clude Saúde partnership
  • Reimbursement programs
  • Flexible working hours
  • Dress code: be yourself.