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 )

Nice to Have

• Knowledge of Python or R for advanced analysis and automation.

• Familiarity with data modeling concepts, including dimensional modeling and Star Schema.

• Experience with data documentation, data dictionaries, and metadata management.

• Experience working with partner/vendor data or B2B analytics environments.

• Knowledge of Jira, Confluence, or Notion for requirements and documentation management.

• Experience in agile environments (Scrum/Kanban).

• Familiarity with data visualization best practices and dashboard UX principles.

• Experience in retail, e-commerce, marketplace, supply chain, or logistics analytics.

• Certifications in Power BI, Tableau, or related BI tools.

• Experience with data storytelling and executive presentations.

Why Join Us?

You will have the opportunity to work on data-driven initiatives that directly influence business decisions, collaborating with cross-functional teams in a dynamic and innovative environment while helping shape scalable and impactful analytics solutions.

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