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.
We are looking for a Mid Data Analyst (Analytics Specialist) to act as the bridge between partner data and business decision-making. This professional will be responsible for transforming raw data into actionable insights through dashboards, KPI definition, exploratory analysis, and data storytelling.
The role requires a strong analytical mindset, business acumen, and the ability to collaborate with both technical teams and business stakeholders to ensure data quality, consistency, and strategic value delivery.
Key Responsibilities
Gather and translate business requirements into analytical solutions and dashboard specifications.
Design, develop, maintain, and optimize dashboards and reports using BI tools.
Define, document, and govern KPIs and business metrics, maintaining a reliable metrics dictionary.
Perform exploratory and ad-hoc analyses to identify trends, anomalies, and business opportunities.
Generate actionable insights and present findings through clear and compelling data storytelling.
Validate data from a business perspective and work closely with Data Engineering teams to improve data quality and reliability.
Enable self-service analytics by creating intuitive dashboards and supporting business users with documentation and guidance.
Continuously improve analytical processes, visualizations, and reporting standards.
Required Qualifications
Proven experience as a Data Analyst or Analytics Specialist.
Advanced SQL skills for data extraction, transformation, and analysis.
Strong experience with Power BI, Tableau, Looker, or similar BI platforms, including dashboard design, DAX/calculated fields, and performance optimization.
Experience with exploratory data analysis (EDA) and pattern recognition.
Advanced Excel skills (Pivot Tables, complex formulas, Power Query).
Strong business understanding, with the ability to validate results using business logic and identify data quality issues.
Excellent communication and stakeholder management skills, including presenting insights to non-technical audiences.
Ability to manage multiple priorities, work autonomously, and deliver results in fast-paced environments.
Strong analytical thinking, attention to detail, and problem-solving skills.
A strong understanding of dimensional modeling and ETL/ELT flows is desirable, with the ability to work in partnership with Data Engineering teams to ensure scalable, consistent analytical structures suitable for BI consumption
English communication skills advanced. ( written, read and listening )