Senior Data Analyst

AGGRANDIZE

Data Analyst driving insights and frameworks for the Marketing and Product teams. Supporting CRM initiatives with analytics and recommendations for customer engagement and retention.

Posted 7/14/2026full-timeRemote • 🇧🇷 BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis and applied statistics to drive business decisions, utilizing advanced analytical models and performance tracking methodologies. Proficient in SQL and Python for data manipulation and analysis, with a strong ability to communicate insights through data storytelling.

Highest-signal resume keywords

Data AnalysisApplied StatisticsA/B TestingSQL ProficiencyData Storytelling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisApplied StatisticsA/B TestingSQLPythonPerformance TrackingStatistical SignificanceImpact AnalysisData VisualizationData Cleaning

Soft Skills

CommunicationDecision-Making

Tools & Technologies

PySparkDatabricks

Industry Keywords

Customer Relationship ManagementMarketing CampaignsCustomer IntelligenceLoyalty ProgramsEngagement Metrics

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Act as an internal analytics consultant and data ambassador for Marketing, CRM, Customer Intelligence and Product teams
Develop, consolidate and advance analytical models and measurement frameworks for customer relationship initiatives
Build and monitor performance indicators (KPIs), ensuring consistency, governance and an integrated view of results
Analyze customer behavior to identify opportunities related to retention, purchase frequency, engagement, average ticket, LTV and other strategic metrics
Develop analyses to measure results of CRM, loyalty, personalization and marketing campaigns, proposing recommendations for optimization
Define and apply impact measurement methodologies, including A/B tests, control groups, hypothesis testing and incremental analyses
Evaluate the performance of analytical and personalization models, identifying opportunities for continuous improvement
Translate complex analyses into executive recommendations through data storytelling
Support business areas in decision-making through statistical analyses and data-driven recommendations.

Requirements

What you’ll need

Experience in data analysis applied to solving business problems
Strong knowledge of applied statistics, including sampling, statistical significance, hypothesis testing and impact analysis
Experience designing, executing and interpreting A/B tests, control groups and incremental analyses
Experience in analytical processes, including data collection, cleaning, manipulation, exploration and visualization
Proficiency in SQL for handling large volumes of data
Programming in Python for data analysis and analytical modeling
Experience building metrics, indicators and performance tracking models
Ability to present analyses and recommendations to business stakeholders using data storytelling
Knowledge of PySpark and Databricks
Experience with agile methodologies
Degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science or related fields.

Benefits

Comp & perks

Meal/food allowance (VR/VA) R$39.71/day (flexible card)
Flex benefit R$210/month (flexible card)
TotalPass
Health and dental insurance
Life insurance
Profit-sharing (PLR)
Birthday day off
Training and certifications paid by Aggrandize
Rewarded employee referral program
Career development track