Data Analyst, Mid-level

Minsait

Data Analyst at Minsait responsible for managing data analysis processes. Collaborating with cloud and big data technologies to ensure reliable data availability.

Posted 6/30/2026full-timeRemote • 🇧🇷 BrazilMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, processing, and modeling, with proficiency in SQL, Python, and cloud platforms such as AWS and Azure. Knowledgeable in data architecture, ETL processes, and big data tools like Apache Spark and Hadoop, ensuring data quality and governance.

Highest-signal resume keywords

Data AnalysisSQL (Advanced)PythonApache SparkETL Processes

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ProcessingData ModelingSQLPythonJavaScalaDatabricksHadoopApache Spark

Soft Skills

Analytical ThinkingProblem Solving

Tools & Technologies

DatabricksAWSAzureGCPMySQLPostgreSQLMongoDBHive

Industry Keywords

Data ArchitectureETLData GovernanceData QualityBig Data

Tech Stack

Tools & technologies

ApacheAWSAzureCloudETLGoogle Cloud PlatformHadoopJavaMongoDBMySQLPostgresPythonScalaSparkSQLTableauTerraform

About the role

Key responsibilities & impact

Responsible for the data analysis process, including the collection, cleaning and organization of information so that data is made available efficiently and reliably.
Familiarity with data architecture fundamentals.
Primary technologies and languages include Databricks, Python, Java, Scala and SQL; relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB); big data tools (Hadoop, Spark, Hive); cloud platforms (AWS, Azure, GCP); and ETL technologies (Extract, Transform, Load).

Requirements

What you’ll need

Experience in data analysis, processing and modeling.
Knowledge of data architecture, including storage, integration and data governance concepts.
Experience developing and manipulating data using:
SQL (advanced)
Python
Databricks
Java
Scala
Knowledge of relational and non-relational databases:
MySQL
PostgreSQL
MongoDB
Other equivalent databases
Experience with Big Data tools and ecosystems:
Apache Spark
Hadoop
Hive
Knowledge of ETL (Extract, Transform, Load) processes and tools.
Experience creating data ingestion, transformation and delivery pipelines.
Knowledge of dimensional and relational modeling.
Experience with cloud computing:
Microsoft Azure
AWS
Google Cloud Platform (GCP)
Knowledge of best practices for data quality, security and governance.
Ability to identify issues, perform analyses and propose data-driven solutions.

Benefits

Comp & perks

Company-subsidized health plan for the primary employee (subscriber).
Option to include dependents in the health plan with payroll deduction.
Dental assistance (optional).
Option to include dependents in the dental assistance plan with payroll deduction.
Meal voucher or grocery allowance.
Transportation voucher (optional).
Impact & Care - Personal Guidance Program offering confidential support and counseling in psychological, legal, financial, social and pet-related matters at no cost for the primary employee and legal dependents.
Gympass - Wellhub (access to over 700 gyms across Brazil with plans starting at R$ 29.90 deducted via payroll).
Option to include dependents in Gympass - Wellhub (up to 3 dependents - paid via credit card).
Access to Udemy through our intranet.
Partnerships with major consumer brands.
Agreement with SESC for the primary employee and dependents.
Discounts with educational institutions (undergraduate and graduate) and language/certification schools.
Group life insurance.