Mid-level Data Analyst

Quality Digital

Analista de dados na Quality Digital, especialista em soluções de TI e inovação. Coleta, visualização e interpretação de dados para apoiar decisões estratégicas.

Posted 8/20/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

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 automation with RPA and Python, alongside strong communication skills to convey data-driven insights to stakeholders.

Highest-signal resume keywords

Data CollectionData AnalysisData VisualizationAutomation (RPA / Python)SQL / NoSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CollectionData AnalysisData VisualizationAutomation (RPA / Python)SQLNoSQLData CleaningData PreprocessingMicrosoft ExcelTableau

Soft Skills

CollaborationTeamworkCommunication

Tools & Technologies

TableauPower BIMicrosoft Office Suite

Industry Keywords

Stakeholder RequirementsData InsightsData TrendsData Patterns

Tech Stack

Tools & technologies

MySQLNoSQLOraclePythonRPASQLTableau

About the role

Key responsibilities & impact

Collect and analyze data
Design data visualizations using charts, dashboards and visual reports with Tableau and Power BI
Generate insights to support strategic decision-making based on data
Make data understandable and actionable for analysts, stakeholders and executive leadership
Foster a collaborative environment, teamwork and continuous feedback practices

Requirements

What you’ll need

Experience in automation (RPA / Python)
Basic knowledge of query languages and database manipulation, such as SQL and NoSQL
Experience with data collection, analysis and visualization
Understanding of stakeholder requirements
Ability to identify patterns and trends in data
Knowledge of data cleaning and preprocessing
Ability to interpret results from data analyses
Ability to communicate insights derived from data
Proficiency in Microsoft Office suite, especially Excel
Familiarity with SQL, NoSQL, MySQL or Oracle for data handling and automated queries

Benefits

Comp & perks

Supportive environment for learning and professional growth
Performance evaluations and regular feedback
Meal and/or food allowance
Medical and dental coverage
Partnerships with pharmacies
Childcare assistance according to company policy
Partnership with SESC
Partnerships for language learning, technology and online course platforms
Payroll-deductible loans with attractive rates
Financial education program
Corporate University and learning paths
Employee referral program with potential rewards and bonuses
Group life insurance
Hybrid work (3 days in-office and 2 days remote)