Analista de Dados Júnior, Pleno e Sênior | SQL | Power BI | Cloud

Jobgether; Brasil; On-site; BRL 90,000 - 150,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Meal allowance

Life insurance

Private pension plan

Wellhub membership

TotalPass membership

Employee stock purchase plan

Pharmacy discounts

Childcare allowance

Language school partnerships

Extended parental leave

Profit-sharing program

Job summary

Jobgether is seeking a Data Analyst at Junior, Mid, or Senior level in Brazil. You will develop SQL queries, build data models, and create Power BI dashboards to deliver insights across business areas. Collaboration with multidisciplinary teams and agile practices are central to the role.

Ideal candidates have a degree in data-related fields, strong SQL skills, experience with Power BI, and familiarity with Azure, AWS, or GCP. English proficiency is a plus.

Qualifications

• Bachelor's degree in Data Science, Computer Science, Information Systems, Engineering, or related field.
• SQL knowledge including joins, CTEs, data manipulation, and optimization.
• Experience or knowledge of structured data modeling and database architecture.
• Familiarity with Power BI: dataset management, data modeling, dashboards.
• Knowledge of cloud platforms: Azure, AWS, or GCP.
• Understanding of data processing and large data volumes.
• Strong analytical thinking and attention to detail.
• Good communication and collaboration skills in agile environments.

Responsibilities

• Develop, maintain, and optimize SQL queries for large datasets.
• Build and maintain structured data models (Star Schema, Snowflake).
• Design, develop, and maintain Power BI dashboards and analytics solutions.
• Optimize data processing workflows and performance.
• Work with cloud-based data environments (Azure/AWS/GCP).
• Develop reliable, scalable analytical solutions for various business needs.
• Collaborate with stakeholders to translate requirements into data-driven solutions.
• Participate in agile workflows and continuous improvement.

Skills

SQL

Analytical thinking

Problem solving

Communication skills

Agile working

Education

Bachelor's degree (Data Science / CS / IS / Engineering)

Tools

Power BI

Azure

AWS

GCP

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Analista de Dados Júnior, Pleno e Sênior | SQL | Power BI | Cloud based in Brazil.

Join a dynamic, technology-driven environment where data plays a central role in business transformation and decision-making.
In this role, you will develop and optimize data solutions, transforming complex datasets into actionable business insights.
You will work with SQL, Power BI, and cloud technologies to build scalable data models and analytical solutions.
Your contributions will help improve data processing, reporting performance, and the quality of business intelligence.
Collaborating with multidisciplinary teams and business stakeholders, you will support projects across different industries and business areas.
This opportunity is open to Junior, Mid-Level, and Senior professionals, offering the chance to grow, innovate, and make a meaningful impact through data.

Accountabilities:

• Develop, maintain, and optimize SQL queries, working with large datasets and complex data structures.
• Build and maintain structured data models, including Star Schema and Snowflake architectures.
• Design, develop, and maintain Power BI dashboards and analytical solutions, ensuring performance, usability, and scalability.
• Optimize queries, data processing workflows, and overall data performance.
• Work with cloud-based data environments and platforms, including Azure, AWS, and GCP.
• Contribute to the development of reliable, scalable analytical solutions tailored to different business needs.
• Collaborate with business stakeholders and multidisciplinary teams to understand requirements and translate them into data-driven solutions.
• Participate in agile workflows, contributing to continuous improvement and the delivery of high-quality analytical projects.

Requirements:

• Bachelor's degree completed or currently in progress in Data Science, Computer Science, Information Systems, Engineering, or a related field.
• Knowledge of SQL, including joins, Common Table Expressions (CTEs), data manipulation, and query optimization, with expectations aligned with the professional's seniority level.
• Experience or knowledge of structured data modeling and database architecture.
• Familiarity with Power BI, including dataset management, data modeling, and dashboard development.
• Knowledge or practical experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data processing and working with large volumes of information.
• Strong analytical thinking, problem-solving abilities, and attention to detail.
• Good communication and collaboration skills, with the ability to interact effectively with technical and non-technical stakeholders.
• Ability to work in collaborative, fast-paced, and agile environments.

Nice to have:

• English proficiency for reading technical documentation and participating in technical meetings.
• Knowledge of Python applied to data analysis.
• Familiarity with data pipelines and ETL/ELT processes.
• Previous experience working in large-scale corporate environments.

Benefits:

• 100% company-subsidized medical insurance for employees and eligible dependents.
• Dental insurance.
• Meal or food allowance with no employee payroll deduction.
• Life insurance.
• Private pension plan.
• Wellhub membership.
• TotalPass membership.
• Employee stock purchase plan with discounted shares.
• Pharmacy discounts.
• Childcare allowance.
• Partnerships with language schools.
• Extended maternity and paternity leave.
• Annual profit-sharing program (PPR).
• Benefits and eligibility are subject to the company's current policies.

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.