Senior Product Analytics

Saipos | Sistema para Restaurante

. Define, connect, and track product and UX metrics aligned with business objectives .

Posted 9/21/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in analytics and product intelligence, with advanced skills in SQL for data manipulation and a strong understanding of product and UX metrics. Proficient in designing experiments and visualizing data to inform strategic business decisions.

Highest-signal resume keywords

Advanced SQL SkillsProduct Analytics Tools ExperienceData Visualization Best PracticesExperiment Design and AnalysisSaaS Metrics Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData ModelingStatistical AnalysisCohort AnalysisRetention AnalysisFunnel AnalysisSegmentation AnalysisEvent TaggingInstrumentationHypothesis Formulation

Soft Skills

Excellent CommunicationCollaborative MindsetAutonomySound Judgment

Tools & Technologies

AmplitudePendoMixpanelGA4PostHogMetabaseLookerPower BIHubSpotVersion Control

Industry Keywords

Product IntelligenceUX MetricsSaaSCustomer SuccessRevenue Operations

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Define, connect, and track product and UX metrics aligned with business objectives
Select and monitor business, marketing, product, and UX metrics, creating a narrative to guide strategy and leadership decisions
Structure and evolve tagging and instrumentation for digital products
Build advanced cohort, retention, funnel, and adoption segmentation analyses
Design and conduct experiments, including A/B tests, hypotheses, success metrics, and statistical analysis
Collect, model, and manipulate data using SQL in collaboration with the Data team
Produce clear and reliable visualizations and dashboards
Communicate insights to squads, leadership, and diverse audiences
Propose, build, and implement improvements to product analytics procedures, metrics, and policies
Work autonomously and collaboratively across teams, strengthening evidence-based decision-making

Requirements

What you’ll need

3+ years of experience in analytics, data, or product intelligence
Bachelor’s degree in areas such as Statistics, Engineering, Information Systems, Economics, Business Administration, or related fields
Advanced SQL skills for data collection, modeling, and manipulation, with a solid understanding of data structures
Practical experience defining and managing product and UX metrics, connecting them to business objectives
Hands-on experience with Product Analytics tools such as Amplitude, Pendo, Mixpanel, GA4, PostHog, or similar platforms
Experience with event tagging and instrumentation
Strong knowledge of Data Visualization best practices and experience with BI tools such as Metabase, Looker, Power BI, or similar platforms
Experience designing and analyzing experiments (A/B tests), including hypothesis formulation and statistical analysis
Analytical ability to conduct advanced analyses (cohort, retention, funnel, and segmentation) and translate them into business recommendations
Excellent communication skills and the ability to adapt messaging to different audiences, from technical squads to executive leadership
Autonomy, sound judgment in selecting methods, and a collaborative mindset
Experience in SaaS, especially with adoption, retention, and churn metrics (NRR, MRR, activation, and engagement)
Knowledge of Python or R for more robust analyses and automation
Experience connecting product data to revenue operations (RevOps), CRM (HubSpot), or Customer Success
Familiarity with version control and best practices for organizing queries and data models
Interest in or experience with AI applications for data analysis and insight generation

Benefits

Comp & perks

Contractor engagement with 30 days of paid time off
Health and dental insurance fully covered by Saipos (co-payments apply to consultations and exams)
Life insurance
Birthday month day off
Wellhub
Complete equipment package
Daily transportation allowance of BRL 22 for in-office work
Home office allowance of BRL 180.00
Extended maternity leave
Extended paternity leave