Data Scientist

Capco

Data Scientist position at Capco, specializing in data engineering and analytics for financial services. Involves building data pipelines and generating insights for decision making.

Posted 7/15/2026full-timeRio de Janeiro • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in ETL and data engineering, including the extraction, consolidation, and cleansing of datasets from various sources. Proficient in creating automated data flows and performing advanced analyses to support data-driven decision-making.

Highest-signal resume keywords

ETL And Data EngineeringAutomated Data FlowsDescriptive And Predictive AnalysesInteractive Dashboards And ReportsData Security And Governance Compliance

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data ExtractionData CleansingData ConsolidationPredictive AnalysisAutomation Scripting

Soft Skills

Advising Client AreasPromoting Best PracticesFostering Data-Driven Culture

Tools & Technologies

APIsData LakesAutomation Tools

Industry Keywords

Data GovernanceData SecurityAnalytical Processes

Tech Stack

Tools & technologies

ETL

About the role

Key responsibilities & impact

ETL and data engineering: extract, consolidate, and cleanse datasets from multiple sources (spreadsheets, lists, APIs, data lakes, and corporate systems)
Create and maintain automated data flows using programming languages, scripts, and automation tools
Perform descriptive, diagnostic, and predictive analyses to generate insights and support decision-making
Develop and enhance interactive and presentation dashboards and reports
Automate recurring analysis processes, ensuring efficiency and standardization of results
Promote best practices, advise client areas on data usage, and foster a data-driven culture
Document pipelines, methodologies, and analytical products, ensuring compliance with data security and governance policies
Work on innovation in analytical processes and propose solutions that expand the value of corporate information

Requirements

What you’ll need

ETL and data engineering: extract, consolidate, and cleanse datasets from multiple sources (spreadsheets, lists, APIs, data lakes, and corporate systems)
Create and maintain automated data flows using programming languages, scripts, and automation tools
Perform descriptive, diagnostic, and predictive analyses to generate insights and support decision-making
Develop and enhance interactive and presentation dashboards and reports
Automate recurring analysis processes, ensuring efficiency and standardization of results
Promote best practices, advise client areas on data usage, and foster a data-driven culture
Document pipelines, methodologies, and analytical products, ensuring compliance with data security and governance policies
Work on innovation in analytical processes and propose solutions that expand the value of corporate information

Benefits

Comp & perks

Meal allowance
GymPass
Health insurance
Dental insurance
Life insurance
Transportation voucher