Senior Analytics Engineer – Power BI, Microsoft Fabric

Dadoteca

. Develop, maintain, and enhance dashboards and reports using Power BI .

Posted 10/26/2026full-timeRemote • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and optimizing analytics solutions using Power BI, SQL, and data modeling techniques. Proficient in implementing KPIs and ensuring data governance practices within corporate environments.

Highest-signal resume keywords

Power BI Dashboard DevelopmentSQL Data ManipulationData Modeling and Semantic DevelopmentETL/ELT ProcessesKPI Implementation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Power BISQLData ModelingDAXPower QueryETLELTData TransformationPythonData Governance

Tools & Technologies

Microsoft FabricCloud Data PlatformsGitData Engineering Processes

Certifications & Qualifications

PL-300DP-600DP-700

Industry Keywords

Analytics SolutionsBusiness IntelligenceData GovernanceCentralized Data GovernanceVersion Control

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Develop, maintain, and enhance dashboards and reports using Power BI
Create and optimize data models, measures, and semantic layers for Marketing analytics
Structure backend data, from integration and transformation through to availability for business consumption
Develop and enhance data transformation pipelines and processes
Use SQL for data extraction, manipulation, querying, and analysis
Define and implement KPIs, business indicators, and metrics aligned with business objectives
Translate business needs into scalable and efficient analytics solutions
Ensure the quality, consistency, reliability, and integrity of information
Collaborate with the Data Engineering team and other departments on analytics initiatives
Follow the Digital Hub’s architecture, governance, security, and best-practice standards
Identify opportunities to improve and optimize existing analytics solutions

Requirements

What you’ll need

Strong experience with Power BI, including dashboard and report development, DAX, and Power Query
Strong SQL skills
Experience with data modeling and semantic model development
Knowledge of data engineering processes, including ETL/ELT, pipelines, and transformations
Experience defining and implementing KPIs and business metrics
Ability to work end to end on the development of analytics solutions
Experience with Microsoft Fabric, particularly in production environments (preferred)
Experience with cloud data platforms (preferred)
Knowledge of data governance practices applied to BI, including access control, documentation, and version control (preferred)
Knowledge of Python for data transformation and processing (preferred)
Experience with Git and version control for analytics artifacts (preferred)
Microsoft certifications such as PL-300, DP-600, or DP-700 (preferred)
Experience working in corporate environments with centralized data governance structures and formal architecture standards (preferred)