Senior Analytics Engineering Analyst – Finance Community

Itaú Unibanco

. Structure and process large volumes of highly granular data .

Posted 10/10/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Advanced SQL and Python for data analysis, with a strong focus on developing analytical models and optimizing data pipelines. Proficient in handling large volumes of unstructured data and applying machine learning techniques to derive actionable insights.

Highest-signal resume keywords

Advanced SQLPython For Data AnalysisBig Data ExperienceData Pipeline DevelopmentCloud Platforms (AWS, Azure, GCP)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytical Data ModelingApplied StatisticsExploratory Data AnalysisMachine LearningTime Series AnalysisData LakesData MeshProcess MiningTask MiningGenerative AI

Tools & Technologies

SparkDatabricks

Industry Keywords

Data AnalysisData ProcessingData OptimizationSegmentation ModelsClustering Models

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

Structure and process large volumes of highly granular data
Build analytical models to identify patterns, behaviors, and trends
Develop segmentation and clustering models to support decision-making
Identify inefficiencies, deviations, and process optimization opportunities
Transform complex analyses into practical, high-impact recommendations
Work with incomplete, heterogeneous, and unstructured data
Develop and enhance analytical pipelines and data models
Partner with business teams to generate value through data

Requirements

What you’ll need

Advanced SQL
Python for data analysis and processing
Experience with Big Data
Knowledge of Spark, Databricks, or similar distributed platforms
Analytical data modeling
Applied statistics and exploratory data analysis
Experience with semi-structured and unstructured data
Data pipeline development and optimization
Knowledge of cloud platforms (AWS, Azure, or GCP)
Experience analyzing logs, events, and user journeys (a plus)
Knowledge of Process Mining or Task Mining (a plus)
Experience applying Machine Learning models to detect patterns and anomalies (a plus)
Experience with time series and sequential analysis (a plus)
Use of Generative AI to accelerate analysis and data exploration (a plus)
Knowledge of Data Lakes, Data Mesh, or modern data architectures (a plus)

Benefits

Comp & perks

Transportation allowance
Meal voucher (restaurants) / food allowance (supermarkets)
Medical plan (Fundação Saúde Itaú or Central Nacional Unimed)
Dental plan (Odontoprev or Interodonto)
Life insurance
Profit Sharing and Results-Based Bonus (subject to the bank’s performance)
Private pension plan
Exclusive discounts on our financial products
Extended maternity and paternity leave
Childcare or nanny assistance (for parents)
Education assistance
Wellhub or TotalPass
Access to Itaú Leisure Clubs (Guarapiranga, Itanhaém, and São Sebastião)
Additional benefits you may learn about during the selection process