Senior Product Data Analyst

Skeelo

Senior Product Data Analyst at Skeelo focused on user journey insights and strategic product analytics. Collaborating with product teams to enhance engagement and metrics through data-driven decisions.

Posted 7/8/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and visualization, utilizing tools such as Tableau and SQL to drive product decisions and enhance user engagement. Proficient in evaluating experimental results and communicating insights effectively to diverse audiences.

Highest-signal resume keywords

TableauSQLGoogle AnalyticsA/B TestingData Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisExploratory AnalysisMetric CreationAnalytical Dataset CreationData VisualizationPythonMachine LearningExperimentation PlatformsPostHogDatabricks

Soft Skills

CommunicationCollaborationAnalytical Thinking

Tools & Technologies

TableauDatabricksPostHogGoogle Analytics

Industry Keywords

Digital ProductUser BehaviorEngagementHigh-Scale Digital Products

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Act as a strategic partner to Product squads, participating in routines and monitoring the development of new features
Analyze user behavior throughout the app journey, identifying opportunities to improve experience and engagement
Develop exploratory analyses to support product decisions and initiative prioritization
Create metrics, dashboards, and visualizations in Tableau to track the squad's key indicators
Build and optimize SQL queries for data exploration and creation of analytical datasets
Consume data from Databricks to support analyses and decision-making
Evaluate results of experiments and tests, measuring the impact of implemented initiatives
Work with app event data to understand behavior, conversion, and feature usage
Build data storytelling, presenting analyses and recommendations clearly for different audiences

Requirements

What you’ll need

Hands-on experience with Tableau and strong SQL skills
Experience in Analytics focused on Digital Product
Knowledge of Google Analytics
English for reading technical documentation
Experience with experimentation platforms and A/B testing
Experience with PostHog or similar Product Analytics tools
Knowledge of Python for data analysis and Machine Learning
Experience consuming data via Databricks or another data warehouse
Familiarity with high-scale digital products

Benefits

Comp & perks

Health plan (no cost and no co-payment for you and your dependents)
Dental and life insurance
Flexible meal/grocery allowance via Caju (real freedom of use)
Comprehensive well-being: Totalpass (fitness) + ZenKlub (mental health)
Annual performance bonus (PPR) tied to goals and impact
Access to Skeelo Premium + book club with monthly ebook
Childcare assistance + extended parental leave
Partnerships with language schools: Berlitz and Open English
Bridged São Paulo public holidays + paid year-end recess
Birthday day off