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Sicredi

Senior Data Analyst – Preferably for Women

Sicredi

. Transform data into analyses and insights that support business decisions and the evolution of channels .

Posted 9/30/2026full-timePorto Alegre • BrazilSeniorWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in Data Analysis, Business Intelligence, and the development of actionable insights to enhance channel performance. Proficient in building dashboards and reports while ensuring data quality and governance across multiple sources.

Highest-signal resume keywords
Data AnalysisGoogle Analytics (GA4)Power BISQLData Governance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisBusiness IntelligenceDigital Behavior AnalysisDashboard DevelopmentData ModelingData EngineeringMulti-Source IntegrationEvent DefinitionMeasurement GovernanceCustomer Analytics
Soft Skills
CollaborationCommunicationProblem-Solving
Tools & Technologies
Google Tag Manager (GTM)DenodoDatabricksLakehouse Architectures
Industry Keywords
Financial ServicesDigital ChannelsOmnichannel ExperienceAdvanced AnalyticsArtificial IntelligenceMachine Learning

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Transform data into analyses and insights that support business decisions and the evolution of channels
  • Build and enhance metrics related to channel adoption, usage, engagement, conversion, and performance
  • Map and analyze member journeys, identifying opportunities to improve the experience and increase channel usage
  • Connect data from different touchpoints, contributing to an integrated view of the member journey
  • Develop dashboards, reports, and data products for operational, tactical, and executive audiences
  • Support the definition and evolution of corporate channel metrics, concepts, and indicators
  • Ensure the quality, consistency, and reliability of information used to manage channels
  • Partner with business, product, member experience, and technology teams
  • Support advanced analytics and artificial intelligence initiatives applied to channels

Requirements

What you’ll need
  • Solid experience in Data Analysis, Analytics, or Business Intelligence
  • Experience with Google Analytics (GA4), digital behavior analysis, and journey measurement
  • Experience with digital tagging tools, event definition, and measurement governance using solutions such as Google Tag Manager (GTM)
  • Advanced knowledge of Power BI, Denodo, and SQL
  • Strong knowledge of modern data platforms, especially Databricks and Lakehouse architectures
  • Experience analyzing digital behavior and business metrics
  • Experience building dashboards, analyses, and executive presentations
  • Knowledge of data governance, quality, and management
  • Knowledge of data modeling, data engineering, and multi-source integration
  • Ability to transform data into actionable insights and recommendations for the business
  • Preferred: experience with digital channels, journey analysis, customer relationship management, and omnichannel experience
  • Preferred: familiarity with Customer Analytics, Artificial Intelligence, Machine Learning, and Advanced Analytics
  • Preferred: experience in the financial services industry or with digital channels

Benefits

Comp & perks
  • 14th and 15th fixed salaries
  • Profit sharing, according to seniority
  • Health and dental insurance with no copayments
  • Gympass
  • Life insurance
  • Health and wellness programs, including nutrition, psychology, workplace exercise, massage, running groups, and a local gym
  • Food and meal allowances, with flexible allocation percentages between the cards and no copayments
  • Extended maternity and paternity leave
  • Childcare or nanny assistance for children up to 6 years and 11 months old
  • Financial assistance for children with disabilities, with no age limit
  • Private pension contribution of up to 6% of salary
  • Sicredi Aprende training platform, offering a wide range of courses
  • 40-hour workweek, using a time-banking system
  • Hybrid work model