Data Analyst – BI & Analytics (Mid-Level/Senior)

WAMGROUP

. Create, maintain, and enhance dashboards, KPIs, and management reports .

Posted 10/8/2026contractGoiânia • BrazilSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SQL for data analysis and processing, along with strong capabilities in developing and maintaining ETL/ELT processes. Proficient in creating and enhancing dashboards and KPIs using Power BI or equivalent tools, while ensuring data quality and governance.

Highest-signal resume keywords

SQL QueryingETL/ELT ProcessesData ModelingPower BIData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingETL ProcessesData TransformationData ValidationData AnalysisData Pipeline DevelopmentData CleansingData ArchitectureData Governance

Soft Skills

Analytical SkillsCommunication SkillsProblem-SolvingOrganizational SkillsAutonomy

Tools & Technologies

Power BIDatabricksAPIsData LakeLakehouse Architecture

Industry Keywords

Business IntelligenceData AnalyticsData QualityData SourcesData Structures

Tech Stack

Tools & technologies

ETLPythonSQL

About the role

Key responsibilities & impact

Create, maintain, and enhance dashboards, KPIs, and management reports
Develop and structure KPIs for different areas of the company
Gather and understand needs in collaboration with business teams
Transform business requirements into analytical solutions and data structures
Extract, process, organize, transform, and validate data from different sources
Develop SQL queries for data analysis, processing, and preparation
Build and enhance data models for BI and Analytics
Develop and maintain ETL/ELT processes
Support the creation, maintenance, and enhancement of data pipelines
Integrate data from databases, APIs, files, and corporate systems
Structure processes for collecting, storing, processing, and making data available
Support the organization and evolution of the Data Lake and Lakehouse environment
Contribute to the structuring and use of Databricks
Automate processes for collecting, processing, and making information available
Perform exploratory analyses to identify patterns, trends, deviations, and opportunities
Investigate discrepancies and inconsistencies across data sources
Ensure the consistency, quality, and reliability of information
Define and document KPIs, business rules, sources, models, and data processes
Support the definition of standards and best practices for data usage
Identify improvements in the architecture, processing, and delivery of information
Work with Systems, Technology, and business teams

Requirements

What you’ll need

Experience with Power BI or an equivalent data visualization and analytics tool
Strong ability to create, organize, and enhance dashboards and KPIs
Solid knowledge of SQL for querying, processing, transforming, and analyzing data
Experience with data modeling
Knowledge of data processing, cleansing, transformation, and validation
Knowledge of ETL/ELT processes and concepts
Experience integrating data from different sources
Knowledge of relational databases
Ability to structure processes for collecting, transforming, storing, and making information available
Knowledge of the organization and architecture of data environments
Ability to investigate and resolve data-related problems
Strong analytical and information interpretation skills
Ability to understand business processes and transform them into data solutions
Strong communication skills for interacting with technical and business teams
Ability to document data processes, sources, rules, and structures
Autonomy in managing requests and investigating problems
A plus: experience with or knowledge of Databricks
A plus: knowledge of Data Lake and Lakehouse architecture
A plus: experience building and maintaining data pipelines
A plus: experience with APIs and integration between different systems
A plus: knowledge of data quality and governance best practices
A plus: experience organizing or enhancing corporate data environments
A plus: knowledge of processing and storing large volumes of data
A plus: experience automating data-related processes
A plus: knowledge of Python for data applications
A plus: knowledge of data version control, orchestration, or transformation tools
Proactive, analytical, communicative, and organized profile
Strong sense of responsibility, technical maturity, and autonomy
Systems thinking, critical thinking, and attention to detail

Benefits

Comp & perks

Training and professional development programs
Career opportunities and internal hiring processes
Recognition and professional growth
Dynamic, innovative, and positive work environment
Position also open to candidates with disabilities