Mid-Level Data Analytics Specialist (Power BI)
New
C
CI&TData analytics
Listing location: Brazil; Workplace type: Remote; Structured job location: BrazilFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- SQLMicrosoft Power BIData modeling
Requirements
- Have solid experience developing dashboards and reports in Power BI.
- Demonstrate proficiency in DAX and Power Query (M) for complex measures, calculated tables, and data transformation.
- Have robust knowledge of conceptual, logical, and physical data modeling, including Star Schema.
- Understand Data Warehouse and Data Lake concepts.
- Use SQL to query and validate data in relational databases and/or cloud data platforms.
- Translate business requirements into KPIs and intuitive visual narratives through data storytelling.
- Know how to publish and manage workspaces, gateways, and RLS in Power BI Service.
- Organize work, prioritize requests, and lead data visualization initiatives autonomously.
- Communicate and collaborate with technical, product, and business stakeholders.
- Be willing to use CI&T Flow and/or AI tools such as Copilot and LLMs to improve day-to-day efficiency.
Responsibilities
- Promote data-driven decision-making by encouraging product, engineering, and client teams to use metrics and visual insights.
- Plan, model, and develop interactive Power BI reports and dashboards that meet stakeholder needs and provide strong performance and usability.
- Structure and evolve data models using multidimensional modeling practices, including Star Schema and Snowflake, optimized DAX, and Power Query (M).
- Work with Data Engineering teams to validate data sources and pipelines and ensure the quality, integrity, and governance of report data.
- Analyze business requirements and indicator rules, and identify improvements to data visualizations and user experience.
- Review dashboard adoption and usage and propose improvements to query performance and report navigation.
- Identify, document, investigate, and resolve data inconsistencies and report performance issues.
- Participate in agile ceremonies, refinements, and technical discussions, contributing to KPI definitions, acceptance criteria, and report layouts.
- Engage team members and clients in data deliveries, aligning on timelines, insights, and value.
- Use CI&T Flow and AI tools to accelerate data analysis, DAX/M generation, and report automation.
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