Senior Data Analyst

Quality Digital

. Collect and analyze data . Design data visualizations through charts, dashboards, and visual reports using tools such as Tableau and Power BI . Generate insights to support data-driven strategic decision-making . Make

Posted 10/16/2026full-timeSão Paulo • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data collection, analysis, and visualization, utilizing tools like Tableau and Power BI to generate actionable insights. Proficient in Python and database querying with SQL and NoSQL, fostering collaboration and effective communication of data-driven strategies.

Highest-signal resume keywords

Data VisualizationPython ProgrammingSQL Database ManagementData AnalysisAutomation (RPA)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData AnalysisData CleaningData PreprocessingDatabase QueryingPattern RecognitionTrend IdentificationMachine LearningText MiningSentiment Analysis

Soft Skills

CollaborationTeamworkCommunicationStakeholder UnderstandingContinuous Feedback

Tools & Technologies

TableauPower BIACL AnalyticsMySQLOracleNoSQL

Certifications & Qualifications

Data Analytics Certification

Industry Keywords

Real-Time AnalyticsProcess AutomationLarge-Scale Projects

Tech Stack

Tools & technologies

MySQLNoSQLOraclePythonRPASQLTableau

About the role

Key responsibilities & impact

Collect and analyze data
Design data visualizations through charts, dashboards, and visual reports using tools such as Tableau and Power BI
Generate insights to support data-driven strategic decision-making
Make data understandable and actionable for analysts, stakeholders, and executives
Foster a collaborative environment, teamwork, and continuous feedback practices

Requirements

What you’ll need

Experience with automation (RPA)
Hands-on experience with Python
Solid knowledge of database querying and manipulation, including SQL and NoSQL
Knowledge of data collection, analysis, and visualization
Strong ability to understand stakeholder requirements
Ability to identify patterns and trends in data
Data cleaning and preprocessing
Interpretation of data analysis results
Ability to communicate data-driven insights
Familiarity with SQL, NoSQL, MySQL, or Oracle for data handling and automated queries
Knowledge of ACL Analytics, data analytics certification, industry experience, real-time analytics, advanced Python/R, process automation, text mining, sentiment analysis, machine learning, and large-scale projects will be considered a plus

Benefits

Comp & perks

Environment conducive to learning and professional growth
Performance evaluations and feedback focused on continuous development
Meal and/or food allowance
Medical and dental insurance
Pharmacy partnership offering discounts on medications
Childcare assistance in accordance with current policy
Partnership with SESC offering a variety of cultural and leisure activities
Partnerships for language and technology studies, as well as access to a course platform
Payroll-deducted loans at attractive rates
Financial education program
Corporate University and learning pathways
Referral program with opportunities for awards and bonuses
Group life insurance