Mid-Level Data Analyst – Predictive Modeling, Analytics

Globo

. Transform audience, campaign, and research data into models and analyses that inform major business decisions .

Posted 9/24/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and applying statistical and machine learning models to inform business decisions, with strong proficiency in Python, SQL, and R. Capable of translating complex business problems into analytical frameworks and effectively communicating insights to stakeholders.

Highest-signal resume keywords

Statistical ModelingMachine Learning DevelopmentData Visualization ToolsPredictive AnalyticsData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLRStatistical AnalysisData CleaningPredictive ModelingData ModelingMachine LearningModel Evaluation MetricsCloud Environments

Soft Skills

CommunicationCollaborationAnalytical ThinkingProblem Solving

Tools & Technologies

Data Visualization ToolsPySparkDatabricksData WarehousesVersion Control Systems

Certifications & Qualifications

Bachelor’s Degree in StatisticsMaster’s Degree in Data Science

Industry Keywords

Media MeasurementAttribution ModelsMarketing Mix ModelingAdTechMartechAudience AnalyticsCampaign PerformanceBrazil’s LGPD

Tech Stack

Tools & technologies

PySparkPythonSQL

About the role

Key responsibilities & impact

Transform audience, campaign, and research data into models and analyses that inform major business decisions
Work strategically within the Data Products team alongside data engineering and data intelligence professionals
Support predictive and statistical models applied to media, including delivery forecasting, audience propensity, profile segmentation, and campaign outcome estimation
Support incrementality, attribution, and A/B testing analyses to measure the impact of sponsorship initiatives on advertiser outcomes
Support value-based pricing models by linking advertiser investment to the returns generated
Collaborate on the development of data solutions and the advancement of sponsorship measurement and performance products
Translate business problems into analytical questions and define the appropriate technical approach
Document model assumptions, metrics, and limitations, ensuring reproducibility and correct interpretation
Prepare analytical datasets with the data engineering team for ML model training
Engage with planning teams and leadership using business-oriented language, presenting clear recommendations for action

Requirements

What you’ll need

Bachelor’s degree in Statistics, Mathematics, Computer Science, Data Science, Marketing, Advertising, or a related field
Proven experience developing statistical or machine learning models in production environments or for applied business problems
Advanced proficiency in Python
Advanced proficiency in SQL
Advanced proficiency in R
Strong knowledge of applied statistics, including inference, correlation, regression, significance testing, and test design
Experience handling, cleaning, and validating the quality of large volumes of data
Ability to translate business problems into analytical questions and communicate technical results clearly and effectively
Experience with data visualization tools and dashboard development
Predictive modeling applied to business scenarios
Supervised and unsupervised machine learning, including classification, regression, clustering, and segmentation
Data modeling and analytical dataset development
Experience with cloud environments and data warehouses for querying and processing large volumes of data
Code version control and best practices for organizing analytics projects
Design of performance indicators and metrics that support commercial decision-making
Proficiency in model error metrics and criteria for evaluating machine learning model performance
Experience in data analysis, data intelligence, or data science
Experience working on analytics projects with direct interaction with business teams
Postgraduate degree, MBA, or master’s degree in Data Science, Statistics, Economics, or another quantitative field (preferred)
Previous experience in media, advertising, audience analytics, marketing, or campaign performance (highly valued)
Experience with media measurement, including attribution models, marketing mix modeling, incrementality, and reach and frequency analysis
Knowledge of the AdTech and Martech ecosystems
Experience with distributed processing (PySpark, Databricks) and data pipelines (preferred)
Knowledge of MLOps and practices for deploying models to production
Experience with generative AI and LLMs applied to analytics products
Knowledge of model explainability (Explainable AI)
Knowledge of data governance and Brazil’s LGPD as applied to advertising data

Benefits

Comp & perks

Selection processes conducted 100% remotely
Applications encouraged from anywhere in Brazil and worldwide
Inclusive, welcoming environment that values diversity
Opportunities to innovate and develop new digital businesses