Mid-level Data Analyst

Quality Digital

Mid-level Data Analyst responsible for data collection, processing and visualization to produce actionable insights. Collaborates with stakeholders to translate data into strategic recommendations and process automations.

Posted 5/9/2026full-timeSão Paulo • 🇧🇷 BrazilMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

MySQLNoSQLOraclePythonRPASQL

About the role

Key responsibilities & impact

Ability to articulate and communicate with clients for interactions and to understand requirements;
Will perform data collection and analysis;
Will implement data extraction and processing routines using programming languages and proprietary data-processing tools;
Will generate insights to support strategic, data-driven decision making;
Will make data understandable and actionable for diverse audiences, including analysts, stakeholders, and executive management.

Requirements

What you’ll need

Experience in automation (RPA / Python);
Basic knowledge of query and database manipulation languages (e.g., SQL and NoSQL);
Data collection, analysis, and visualization;
Understanding stakeholder requirements;
Identifying patterns and trends in data;
Data cleaning and preprocessing;
Interpreting data analysis results;
Communicating data-derived insights;
Collaboration with cross-functional teams;
Understanding of business concepts and strategy;
Problem-solving for complex issues;
Proficiency in Microsoft Office suite, especially Excel;
Database knowledge: Familiarity with SQL, NoSQL, MySQL, or Oracle for data handling and automated queries;
Programming skills: Knowledge of Python, with a focus on process automation and data manipulation;
Analytical and problem-solving skills: Ability to analyze workflows and identify opportunities for automation and improvement;
Data analysis certification is a plus;
Experience on data analysis projects across different industry sectors is a plus;
Experience with real-time data analysis is a plus;
Advanced knowledge of programming languages for data analysis (e.g., Python, R) is a plus;
Experience in automating data analysis processes is a plus;
Knowledge of text mining and sentiment analysis techniques is a plus;
Experience applying machine learning techniques to data analysis is a plus;
Participation in large-scale data analysis projects is a plus.

Benefits

Comp & perks

Meal and/or grocery allowance for food purchases 🍴
Medical and dental assistance to keep you and your family healthy 💙
Pharmacy partnerships for discounts on medication 💊
Childcare assistance according to company policy 🍼
Gym membership discounts to encourage exercise 🤸‍♀️🤸‍♂️
Partnership with SESC for a variety of cultural and leisure programs ✈
Partnerships for language, technology, and online course subscriptions 📚
Payroll-deductible loans with attractive rates plus a financial education program 💰
Corporate University and learning paths with content on technology, soft skills, market trends, and more 👨‍💻
Employee referral program with potential rewards and bonuses 🎁
Group life insurance ⛑

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonRPASQLNoSQLdata collectiondata analysisdata visualizationdata cleaningdata preprocessingmachine learning

Soft Skills

communicationproblem-solvingcollaborationanalytical skillsunderstanding stakeholder requirementsarticulating insightsstrategic thinkingidentifying patternsmaking data actionableworking with diverse audiences

Certifications

data analysis certification