Data Analyst, Mid-Level

Brasilseg

. Work as a Mid-Level Data Analyst in the Data Governance and Engineering department.

Posted 10/2/2026full-timeSão Paulo • BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in developing and maintaining analytical models and data transformation routines using SQL, Python, and PySpark within the Databricks ecosystem. Strong ability to ensure data quality and support governance practices while addressing analytical requests and documenting business rules.

Highest-signal resume keywords

SQL Data ManipulationPython Data AnalysisDatabricks ExperienceData Quality ControlETL/ELT Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ModelingData TransformationData ExtractionData ReconciliationAnalytical ModelingData GovernanceData ValidationData LakesData Warehouses

Tools & Technologies

DatabricksAWSPySparkDelta LakePower BIREST APIsSQSGitGitHubUnity Catalog

Certifications & Qualifications

Databricks Certified Data Engineer AssociateAWS Certified Data Engineer Associate

Industry Keywords

Insurance IndustryData Governance Practices

Tech Stack

Tools & technologies

AWSETLPySparkPythonSQLUnity

About the role

Key responsibilities & impact

Work as a Mid-Level Data Analyst in the Data Governance and Engineering department.
Develop and maintain analytical models, Data Marts, and aggregated tables across the Bronze, Silver, and Gold layers of the Databricks ecosystem.
Translate business rules into queries and data models that support decision-making.
Conduct exploratory and diagnostic analyses to identify trends, opportunities, and operational deviations.
Develop and optimize data transformation and manipulation routines using SQL, Python, and PySpark.
Independently perform data extraction, cross-referencing, and reconciliation activities.
Ensure the quality, consistency, integrity, and accuracy of data made available to users.
Identify and support the resolution of inconsistencies between source systems and analytical databases.
Document business rules, metrics, data dictionaries, and assets in the corporate catalog.
Support the governance and standardization of corporate metrics.
Address analytical requests from business areas and participate in requirements gathering for new data solutions.

Requirements

What you’ll need

Bachelor’s degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, Statistics, Computational Mathematics, Data Engineering, or a related field.
Experience with data manipulation and analysis using SQL.
Experience working in data environments using Databricks and AWS.
Knowledge of ETL/ELT processes, Data Lakes, and Data Warehouses.
Experience with data validation and quality control.
Knowledge of Python for data analysis and transformation.
Technical English reading proficiency.
Preferred knowledge: PySpark and Delta Lake; AWS (S3 and Athena); Databricks Workflows (Jobs); REST APIs, SQS, and data integrations; Git and GitHub; Unity Catalog and data governance practices; Power BI.
Differentiators: Databricks Certified Data Engineer Associate certification; AWS Certified Data Engineer Associate certification; knowledge of the insurance industry.

Benefits

Comp & perks

Health Insurance
Dental Insurance
Funeral Insurance
Transportation Allowance
Meal Voucher
Food Voucher
13th Food Voucher
Group Life Insurance
Private Pension Plan
Daycare and/or Nanny Assistance
Profit Sharing and Results Bonus (PLR)
Wellhub
Birthday Day Off
Desenvolve Program with more than 500 courses
Integrated Health Program covering mental, social, financial, and physical well-being.