Data Analyst II, Mid-Level

CELK Sistemas

. Transform data into reliable, useful information through querying, analysis, modeling, and visualization .

Posted 10/9/2026full-timeRemote • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in data extraction, processing, and analysis, with strong SQL skills for developing queries and ETL processes. Experienced in creating reports, dashboards, and visualizations while ensuring data quality and compliance with LGPD requirements.

Highest-signal resume keywords

SQL QueryingData Extraction and ProcessingData Visualization DevelopmentBI Tools ExperienceData Quality Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLETLData AnalysisData ModelingData VisualizationData Lake ConceptsData OrganizationQuery OptimizationData Quality ManagementAnalytical File Formats

Tools & Technologies

Power BIAmazon QuickSightTableauQlikAmazon AthenaTrino/PrestoSpark SQL

Industry Keywords

Data LakeData WarehouseLakehouseLGPDMedallion Architecture

Tech Stack

Tools & technologies

ETLSparkSQLTableau

About the role

Key responsibilities & impact

Transform data into reliable, useful information through querying, analysis, modeling, and visualization
Support decision-making, process improvement, and the advancement of Celk’s technology solutions
Extract, process, and integrate data from the Data Lake, databases, internal systems, and other sources, ensuring consistency and reliability
Develop SQL queries and ETL/ELT processes for data extraction, transformation, validation, and delivery
Support the evolution of the Data Lake by structuring layers, integrating new sources, creating datasets, and keeping the catalog, metadata, data dictionary, and documentation up to date
Analyze data to identify patterns, trends, and inconsistencies; investigate root causes and propose solutions
Translate the needs of internal teams and clients into metrics, KPIs, and visualizations
Develop and maintain reports, dashboards, KPIs, and data models
Ensure data quality, integrity, and security by applying access controls, internal policies, and LGPD requirements
Work with Development, DevOps, and DBA teams to investigate issues and enhance solutions
Identify opportunities for automation, query optimization, and cost reduction

Requirements

What you’ll need

Bachelor’s degree completed or in progress in Data Science, Information Systems, Computer Science, Engineering, Statistics, or a related field
Intermediate to advanced SQL skills in relational databases
Data extraction, processing, analysis, and validation
Development of reports, KPIs, and data visualizations
Data modeling and relationships between tables
Experience with BI tools such as Power BI, Amazon QuickSight, Tableau, or Qlik
Understanding of Data Lake concepts and the differences between a Data Lake, Data Warehouse, and Lakehouse
Data organization into layers, such as the medallion architecture (bronze, silver, and gold) or raw, trusted, and refined layers
Knowledge of analytical file formats such as Parquet, ORC, Avro, CSV, and JSON
SQL querying of Data Lake data using Amazon Athena, Trino/Presto, or Spark SQL, as well as data partitioning
Data quality, integrity, and consistency management
Interpretation of business rules and documentation of analytical criteria and results
Information security principles and personal data protection requirements under Brazil’s LGPD

Benefits

Comp & perks

Medical insurance
Dental insurance
Life insurance
Meal/Food voucher
Birthday day off
Wellhub (formerly Gympass)
Work from home
Monday to Friday, 8:00 a.m. to 5:00 p.m. (40 hours per week)