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Data Analyst, Mid-level
Leo MadeirasData Analyst conducting data analysis and managing BI solutions for financial services at Leo Madeiras. Utilizing SQL and AWS QuickSight for data visibility and decision-making.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis and visualization, with strong proficiency in SQL and AWS QuickSight. Capable of automating analytical processes and ensuring data quality and standardization to support strategic decision-making.
Highest-signal resume keywords
Data AnalysisSQL/PostgreSQLAWS QuickSightBusiness Intelligence ToolsData Quality Assurance
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 AnalysisSQLPostgreSQLData ModelingDashboard DevelopmentData TransformationPerformance MonitoringAutomated ReportingExcelPowerPoint
Soft Skills
Good Writing SkillsPresentation Skills
Tools & Technologies
AWS QuickSightPower BITableauLooker Studio
Industry Keywords
Product DataCustomer BehaviorConversion FunnelsFeature PerformanceAccess Governance
Tech Stack
Tools & technologiesAWSPostgresSQLTableau
About the role
Key responsibilities & impact- Perform exploratory analyses and continuous monitoring of Product data (transactions, customer behavior, journeys, conversion funnels, feature performance) to support strategic operational decisions.
- Build, maintain and enhance dashboards and reports in AWS QuickSight, ensuring reliability, performance and best practices in data modeling.
- Administer the QuickSight platform: manage datasets, permissions, asset versioning, environment migrations and access governance.
- Develop and maintain SQL/PostgreSQL queries for extracting, transforming and delivering data to business areas.
- Identify performance deviations in the Product layer, investigate root causes and propose actions together with Product, Technology and Operations teams.
- Support squads and stakeholders with ad hoc analyses that underpin strategic discussions and the Product roadmap.
- Ensure standardization, quality and traceability of reported metrics.
- Automate monitoring routines and reduce manual effort in recurring analytical processes.
Requirements
What you’ll need- Bachelor's degree in Engineering, Statistics, Computer Science, Economics, Business Administration or related fields.
- Proven experience in data analysis, preferably focused on Product or Operations.
- Strong SQL skills (intermediate/advanced), with experience in PostgreSQL or similar relational databases.
- Hands-on experience with BI tools, preferably AWS QuickSight (Power BI, Tableau or Looker Studio are acceptable if willing to migrate).
- Proficiency in Excel and strong ability to structure presentations (PowerPoint).
- Good writing skills and the ability to present results to different audiences.
Benefits
Comp & perks- Profit Sharing (PLR)
- Corporate Cafeteria | Meal Voucher: Benefits vary according to internal policies and the area/department.
- Food Allowance: Paid via card
- Health Insurance: Leo covers 100% of the employee's plan and 100% of the plan for children up to 16 years old.
- Dental Insurance: Possibility to include dependents and additional family members.
- Life Insurance
- Pharmacy Benefits
- Access to gyms and wellness activities starting from the second month of employment.
- Transportation Voucher / Parking
- Access to an online learning platform to support your professional and personal growth.
- School Supplies Kit
- Maternity Kit
- Christmas Kit
- Partnerships & Discounts