Analyst jobs in Brazil
Explore 659 matching jobs.
Performance Analyst, Strategic Intelligence
Vertem
Posted: 10/21/2026PythonSQL
Process Analyst, Mid-Level
ExperMed Perícias
Posted: 10/21/2026B2B Quality Analyst II
Agencia VTAL
Posted: 10/21/2026Telecom Analyst, Junior
Vivo (Telefônica Brasil)
Posted: 10/21/2026Senior Structuring Analyst – DCM
VERT Capital
Posted: 10/21/2026PythonVBA
Senior Performance Analyst
Tahto
Posted: 10/21/2026Facilities Analyst – Junior
Unidas
Posted: 10/21/2026Automation Analyst, Junior
Quality Digital
Posted: 10/21/2026JavaScriptPythonRPA
Commercial Performance Analyst I
Lojas Renner S.A.
Posted: 10/21/2026PySparkPythonSQL
Monitoring Analyst
Quata
Posted: 10/21/2026ERP
Airport Analyst II – GOL Operating Model
GOL Linhas Aéreas
Posted: 10/21/2026Senior R&D and Innovation Analyst
Dasa
Posted: 10/21/2026Mid-Level Training Analyst, Electricity Sector
Câmara de Comercialização de Energia Elétrica - CCEE (Chamber of Electric Energy Commercialization)
Posted: 10/21/2026Senior Account Analyst
Cadastra
Posted: 10/21/2026Automation Analyst – Mid-Level
Intelipost
Posted: 10/21/2026SQL
Senior Environmental Analyst
Arcadis
Posted: 10/21/2026Senior Commercial Analyst
Prophix
Posted: 10/21/2026Requirements Analyst
NCS
Posted: 10/21/2026Tableau
Administrative Analyst – HSE
Aeris
Posted: 10/21/2026Filing & Documentation Analyst
Capgemini
Posted: 10/21/2026Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL and Databricks for data extraction and analysis, with a strong ability to translate complex data into actionable business insights. Proficient in customer analytics, loyalty programs, and leveraging Artificial Intelligence tools for enhanced analytical capabilities.
Highest-signal resume keywords
Advanced SQLDatabricks ExperienceCustomer Analytics KnowledgePython for AnalysisGenerative Artificial Intelligence
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Develop strategic analyses to support business decision-making
- Explore and analyze large volumes of data to identify opportunities, trends, and customer behaviors
- Build SQL queries for data extraction, processing, and analysis
- Create and maintain analytical databases in Databricks
- Develop segments for CRM campaigns and loyalty programs
- Generate Customer Analytics, Loyalty, and consumer behavior studies
- Support the measurement of campaigns and customer engagement initiatives
- Develop dashboards and monitor business KPIs in Databricks
- Prepare executive presentations and analytical materials for clients and internal teams
- Identify risks, opportunities, and growth levers based on data
- Support the development of forecasts, estimates, and analytical models for strategic initiatives
- Use Artificial Intelligence tools to accelerate analyses, documentation, and insight generation
- Partner with cross-functional teams on loyalty program, CRM, marketing campaign, and customer intelligence projects
Requirements
What you’ll need- Bachelor’s degree completed or in progress in Computer Science, Information Systems, Statistics, Mathematics, Engineering, Economics, Business Administration, or a related field
- Advanced SQL (mandatory requirement)
- Experience with Databricks or an equivalent data processing and analytics platform (mandatory requirement)
- Experience handling and analyzing large volumes of data
- Knowledge of analytical data modeling and database structuring
- Ability to turn data into business insights and recommendations
- Analytical, investigative, and problem-solving mindset
- Experience developing and presenting analyses to business teams
- Knowledge of CRM and customer segmentation
- Knowledge of Loyalty and Loyalty Programs
- Knowledge of Customer Analytics and Marketing Analytics
- Knowledge of Python for analysis and automation
- Experience with A/B testing and campaign measurement
- Knowledge of cloud data environments
- Experience using Generative Artificial Intelligence (Copilot, ChatGPT, or similar tools) for data analysis and insight generation
- Knowledge of Prompt Engineering and AI-Assisted Analytics
- Knowledge of Agile methodologies
- Strong analytical reasoning
- Curiosity and a genuine interest in data and consumer behavior
- Ability to translate complex analyses into practical recommendations
- Strong verbal and written communication skills
- Organization and ability to manage multiple projects simultaneously
- Collaboration and teamwork
- Proactivity and autonomy
- Ongoing interest in new technologies, data, and Artificial Intelligence
Benefits
Comp & perks- The company values diversity across race, color, religion, gender and gender identity, nationality, disability, sexual orientation, ancestry, and age
- This position is also open to applicants with disabilities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisAnalytical Data ModelingDatabase StructuringA/B TestingCampaign MeasurementForecastingAnalytical ModelingData ExtractionData ProcessingInsight Generation
Soft Skills
Analytical MindsetProblem-SolvingStrong Communication SkillsCollaborationProactivity
Tools & Technologies
DatabricksCRM SystemsCloud Data EnvironmentsArtificial Intelligence ToolsAgile Methodologies
Industry Keywords
Customer SegmentationLoyalty ProgramsConsumer BehaviorMarketing AnalyticsBusiness KPIs
