FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SQL for data analysis and ETL/ELT processes, with a strong ability to translate business requirements into analytical solutions. Proficient in Python for data manipulation and experienced in developing dashboards and performance indicators to support decision-making.
Highest-signal resume keywords
Advanced SQL ProficiencyETL/ELT ProcessesPython ProgrammingDashboard DevelopmentMachine Learning 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
SQL QueriesData AnalysisData CleansingData TransformationETL ProcessesDashboard DevelopmentPerformance OptimizationPredictive ModelsStatistical AnalysisData Integration
Soft Skills
Analytical MindsetStakeholder EngagementRequirements GatheringPresentation SkillsConsultative Approach
Tools & Technologies
Cloud EnvironmentsAPIsAgile MethodologiesScrumKanban
Industry Keywords
KPISLAData ProtectionLGPDInformation Security
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Develop, maintain, and enhance dashboards, management reports, and performance indicators to support decision-making
- Extract, cleanse, transform, and analyze data from multiple sources
- Build and optimize SQL queries for analyzing large volumes of data
- Gather requirements from business teams and translate their needs into analytical solutions
- Ensure the quality, consistency, and integrity of data used in reports and dashboards
- Develop ETL/ELT processes for data integration and delivery
- Monitor operational indicators, identifying trends, deviations, and opportunities for improvement
- Prepare studies, analyses, and executive presentations to support client-facing teams
- Participate in automation and continuous improvement projects related to data management and analysis
- Partner with business, technology, and operations teams to generate insights and track results
Requirements
What you’ll need- Bachelor’s degree in Data Science, Computer Science, Information Systems, Systems Analysis and Development, Computer Engineering, Software Engineering, Statistics, Mathematics, Industrial Engineering, or related fields
- Advanced SQL proficiency, including developing complex queries, performance optimization, creating stored procedures, and handling large volumes of data
- Experience with ETL/ELT processes and integrating data from multiple sources, including databases, APIs, files, and cloud environments
- Proficiency in Python or similar programming languages for data manipulation, cleansing, and automation
- Experience developing and maintaining dashboards, management reports, and performance indicators
- Ability to translate business needs into analytical solutions, with an understanding of KPIs, SLAs, and operational processes
- Analytical and consultative mindset, with experience engaging stakeholders, gathering requirements, leading meetings, and presenting results
- Experience with Machine Learning, applied statistics, or predictive models
- Technical English proficiency for reading and interpreting documentation
- Knowledge of Brazil’s General Data Protection Law (LGPD), information security, and sensitive data protection
- Experience with agile methodologies such as Scrum and Kanban
Benefits
Comp & perks- Transportation allowance
- Meal and/or food allowance
- Medical insurance after 90 days, with copayments
- Dental insurance
- Career development plan
- Educational partnerships with course discounts
- Life insurance
- Funeral assistance
- Hybrid work, three days per week on-site