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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, data pipeline optimization, and visualization, with a strong foundation in statistical methods and machine learning. Proficient in collaborating with business teams to deliver actionable insights and ensure data quality and governance.
Highest-signal resume keywords
Data Analysis Languages (Python, R, Scala)Strong SQL SkillsVisualization Tools (Power BI, Tableau, Looker)ETL Process ImplementationFinancial Services or Fintech Experience
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 AnalysisStatistical KnowledgeData Modeling TechniquesMachine LearningPredictive Model Implementation
Soft Skills
Strong Communication Skills
Tools & Technologies
Microsoft FabricBig Data Tools (Spark, Hadoop)Cloud Platforms (Azure, AWS, GCP)NoSQL Databases (MongoDB, Cassandra)
Certifications & Qualifications
Relevant Certifications in Data and Analytics
Industry Keywords
Data GovernanceData Quality
Tech Stack
Tools & technologiesAWSAzureCassandraCloudETLGoogle Cloud PlatformHadoopMongoDBNoSQLPythonScalaSparkSQLTableau
About the role
Key responsibilities & impact- Develop and implement analyses and analytical models
- Build and optimize data pipelines for efficient processing
- Create visualizations and dashboards that communicate insights clearly
- Conduct exploratory data analysis to identify patterns and trends
- Collaborate with business teams to understand their needs and requirements
- Participate in analytics projects from start to finish, from planning through implementation
- Document data analysis processes and methodologies
Requirements
What you’ll need- At least 4 years of experience in Data and Analytics-related roles
- Bachelor’s degree in Statistics, Computer Science, Mathematics, Engineering, or a related field
- Practical experience with data analysis languages (Python, R, or Scala)
- Strong SQL skills and experience with relational databases
- Experience with visualization tools (Power BI, Tableau, Looker)
- Knowledge of statistics and data modeling techniques
- Experience implementing ETL processes
- Strong communication skills, with the ability to translate technical concepts for non-technical audiences
- Knowledge of machine learning and predictive model implementation
- Experience in the financial services or fintech sector
- Knowledge of Microsoft Fabric
- Familiarity with big data tools (Spark, Hadoop)
- Knowledge of cloud platforms (Azure, AWS, GCP) and their data services
- Experience with NoSQL databases (MongoDB, Cassandra)
- Relevant certifications in Data and Analytics
- Knowledge of data governance and quality
Benefits
Comp & perks- Bradesco Health Insurance (30% co-payment)
- Bradesco Dental Insurance (no employee contribution)
- Life Insurance
- Wellhub (formerly Gympass)
- Childcare Assistance
- Assistance for Children with Disabilities
- Payroll-Deducted Loan
- Private Pension Plan
- Pet Insurance Partnership
- SESC benefits
- Conexa Telemedicine
- Expense Allowance
- Food/Meal Voucher
- Multi-Benefit Card
- Health Insurance Upgrade
- Extended maternity and paternity leave
- INMaterna Program: support program for pregnant employees
- Newborn Gift Basket and the book “It Happened When I Was Born”
- Professional Development: courses available through the company’s internal university
- 100% remote or hybrid work, depending on project requirements