[Job-29782] Senior Data Analyst, Colombia
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- Colombia, Колумбія
- Колумбія
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Senior Data Analyst at ciandt in Colombia, with JobGrid showing the structured location as Colombia and the workplace field as On-site. JobGrid keeps the public source facts normalized for comparison, preserves the original English source boundary, and routes applicants to the original public application page with non-personal referral parameters. This listing is part of JobGrid's Вакансії data analyst з публічних сторінок кар'єри.
- Source posted on 2026-06-09 and last checked on 2026-06-10, so the listing is recently verified.
- Structured facts captured by JobGrid include the title, company, Colombia location, and On-site workplace field; salary is not provided.
- The source excerpt is in English and JobGrid keeps the publisher text separate from the employer description.
- JobGrid preserves the employer application path by sending candidates to the original public application page with non-personal referral parameters.
At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
This is an exclusive opportunity for Colombian candidates with fluency or native proficiency in Spanish AND English (C1 level or higher) will be considered.
==> Only resumes in English will be considered.
100% remote position.
As CI&T grows, we seek a talented, motivated, and experienced Senior Data Analyst to join our team and drive data-driven solutions for our customers. This role is pivotal in balancing analytical expertise with hands-on execution, ensuring that our data initiatives are not only well-planned but also effectively implemented.
The Senior Data Analyst will oversee the analysis and interpretation of data 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 collaborative skills to drive the successful execution of data-driven initiatives while actively contributing to daily operations.
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
- Knowledge of Adobe tools and analytics solutions