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Leega

Functional Data Analyst

Leega

Data Analyst responsible for gathering business requirements and ensuring quality in data management processes at Leega.

Posted 7/20/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in requirements gathering, data modeling, and data governance, with a strong focus on data cleansing and validation processes. Proficient in SQL and familiar with Business Intelligence tools to enhance data integrity and support business needs.

Highest-signal resume keywords
Requirements GatheringData ModelingSQL ProficiencyData GovernanceData Cleansing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Requirements GatheringData ModelingSQLData CleansingData ProfilingData Governance TechniquesProcess AnalysisBusiness Metrics MappingCustomer/Master Data ManagementData Validation
Soft Skills
Excellent Communication SkillsCritical ThinkingAutonomyCollaboration
Tools & Technologies
Business Intelligence Tools
Industry Keywords
Financial InstitutionsData GovernanceData QualityCustomer Data IntegrityMarket Bureaus

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Requirements Gathering and Documentation: Translate business needs into functional requirements for data projects, focusing on mapping business metrics and customer master data integrity rules.
  • Master Data Cleansing Strategy: Diagnose the current state of databases (data cleaning) and propose conceptual solutions to improve record quality without relying on pre-existing tools at the bank.
  • Bureau Mapping: Identify and evaluate external databases and market bureaus for procurement, aiming to enrich and validate customer/master data.
  • Bridge between Business and IT: Collaborate with stakeholders and developers to ensure technical solutions accurately reflect business rules and established governance standards.
  • Modeling and Governance: Create and maintain conceptual and logical data models, ensuring documentation of metrics and quality processes remains up to date.
  • Validation and Quality: Test and validate implemented solutions to ensure metrics are accurate and that data cleansing processes operate as intended.
  • Governance Gatekeeper: Act as a facilitator with the Data Governance area, applying necessary standards to ensure speed and compliance in projects.

Requirements

What you’ll need
  • Mandatory Experience: Solid background with high-volume customer/master data repositories and a deep understanding of data bureaus.
  • Functional Profile: Experience in requirements gathering, process analysis, and mapping business metrics.
  • Technical Knowledge: Proficiency in SQL for querying and analysis, plus experience with data modeling (conceptual and logical).
  • Conceptual Knowledge: Understanding of data cleansing, data profiling, and data governance techniques.
  • Education: Bachelor's degree in IT, Business Administration, Statistics, or related fields.
  • Soft Skills: Excellent written and verbal communication skills, ability to think critically about complex problems, and autonomy to propose solutions from scratch.
  • Preferred Experience: Previous experience in financial institutions (banking sector).
  • Familiarity with Business Intelligence (BI) tools.
  • Basic software development knowledge to better interface with the technical team.

Benefits

Comp & perks
  • Remote work. 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score