Original listing text, shown exactly as published by the company.
Requirements
Languages & Communication
- Excellent level of English communication (reading, writing, and speaking)
- Excellent level of Spanish communication (reading, writing, and speaking)
- Experience working with international clients
Analytics & Tracking Tools
- Google Analytics 4 (GA4)
- Google Tag Manager (GTM)
Analytical & Product Skills
- Strong analytical mindset
- Product-oriented thinking
- Experience with value-based prioritization
- Data-driven decision-making
- Data analysis and interpretation
- Data visualization and insight generation
Collaboration & Stakeholder Management
- Proven ability to work collaboratively in cross-functional teams
- Experience working with stakeholders to define business and analytical requirements
- Strong communication and relationship-building skills
Main Responsibilities
Data Analysis
- Conduct thorough data analyses to support business and digital product growth
- Generate actionable insights through data visualization
- Support data-driven decision-making across teams
Data Profiling
- Analyze data types, relationships, patterns, and trends
- Improve understanding of business data and inform strategic decisions
Requirements Definition
- Work closely with stakeholders to define clear, specific, and achievable data requirements
- Define how analytical outputs should be presented and consumed
Business Process Understanding
- Develop a strong understanding of business workflows
- Identify relevant sources, entities, and attributes to answer business questions
Validation
- Validate analytical products with users
- Ensure solutions meet business needs and expectations
- Leverage metrics and feedback to support decision-making
Performance Analysis
- Monitor and analyze product performance using KPIs and metrics
- Measure the effectiveness of data initiatives and investments
- Drive continuous improvement through data-driven insights
Data Architecture Understanding
- Understand the technical architecture supporting data initiatives
- Work with data storage, integrations, and analytics platforms
- Collaborate effectively with technical teams
AI Integration
- Support the integration of AI tools and methodologies into analytical workflows
- Enhance efficiency, performance, and insight generation through AI capabilities
Team Collaboration
- Partner with Data Scientists, Data Engineers, Analytics Specialists, Product Teams, and Business Stakeholders
- Contribute to the delivery of high-quality analytical solutions
- Mentor and support junior analysts, fostering growth and development
Nice to Have
Cloud Platforms
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)
Project & Delivery
- Familiarity with project management tools (Jira, Azure DevOps, Trello, Asana, or similar)
Artificial Intelligence
- Experience with AI/ML methodologies
Business Experience
- Exposure to D2C (Direct-to-Consumer) initiatives
Analytics Ecosystem…
