⨠AI Insights & Summary
This is a unique opportunity to join CI&T, a global leader in digital transformation, and leverage AI to deliver tangible business impact for large enterprises. As a Senior Data Analyst, you will play a crucial role in the entire data product lifecycle, from ideation to deployment and optimization, with a strong emphasis on AI integration. Requiring fluency in both Spanish and English, this 100% remote role is perfect for a highly analytical and product-oriented professional seeking to drive data-driven solutions in a collaborative, international setting.
About CI&T
CI&T empowers large enterprises to harness the full potential of AI, delivering real business impact through AI Deployment, AI-native execution, and integrated business solutions. With 30 years of experience, we accelerate innovation across Agentic SDLC, Application Modernization, Data & AI, Martech, and Business Strategy. We are a global team of 8,000+ professionals across 25+ countries, embedding AI into our daily work, evolution, and innovation.
The Role
We are seeking a talented and experienced Senior Data Analyst to join our team and drive data-driven solutions for our clients. This pivotal role balances analytical expertise with hands-on execution, ensuring data initiatives are well-planned and effectively implemented. The Senior Data Analyst will oversee data analysis and interpretation to support the entire lifecycle of data products, from ideation and development to deployment and optimization. This position requires a unique blend of technical expertise, strategic thinking, critical analysis, and collaboration skills to drive successful execution of data-driven initiatives while contributing to daily operations.
Key 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.
- Enhance understanding of business data to inform strategic decisions.
Requirements Definition
- Work 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 data 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.
Requirements:
Languages & Communication
- Excellent English communication skills (reading, writing, speaking).
- Excellent Spanish communication skills (reading, writing, 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.
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
- Knowledge of Adobe tools and analytics solutions.
Location
Important Notes:
- Exclusive opportunity for Colombian candidates.
- Fluency or native proficiency in Spanish AND English (C1 level or higher) is required.
- Only resumes in English will be considered.