This position is posted by Jobgether on behalf of a partner company. We are currently looking for a ANALISTA DADOS PL in Brazil.
In this role, you will join a data and analytics environment focused on transforming large volumes of information into reliable, scalable, and business-ready insights. You will work closely with structured datasets, building and maintaining analytical models, data pipelines, and visual solutions that support strategic decision-making. The position involves strong interaction with data engineering and business teams to ensure data consistency, performance, and usability across reporting layers. You will contribute to the development of dashboards and data visualizations that translate complex datasets into clear, actionable insights. This is a highly collaborative and technical role, combining Python, Spark, and BI tools such as Power BI in a modern data ecosystem. You will be part of a culture that values innovation, learning, and the practical impact of data-driven solutions.
Accountabilities
You will be responsible for developing, transforming, and delivering analytical data solutions that support business intelligence and decision-making processes. Your work will ensure that data pipelines, models, and visualizations are efficient, accurate, and aligned with business needs.
- Develop and maintain analytical data models and pipelines using Python and Spark
- Work with structured datasets to ensure consistent and reliable data processing
- Build dashboards and data visualizations to support business analysis and reporting
- Ensure performance, usability, and clarity of analytical outputs and BI solutions
- Collaborate with data engineering teams to integrate and optimize data sources
- Support ETL processes and contribute to data architecture and modeling initiatives
- Translate business requirements into analytical solutions and reporting structures
Requirements
You bring solid experience in data analytics, engineering, and visualization, with strong technical expertise in data processing frameworks and relational databases. You are comfortable working in complex environments involving big data tools, ETL pipelines, and BI platforms.
- Experience with Python and SQL for data manipulation and analysis
- Strong knowledge of Spark and big data ecosystems (Hadoop, HDFS, Hive)
- Experience with ETL processes and data integration strategies
- Proficiency in BI tools such as Power BI for dashboard development
- Experience with relational databases such as DB2 and Oracle
- Familiarity with development tools like JupyterLab, VS Code, and GitLab
- Knowledge of data modeling and analytical architecture concepts
- Nice to have: Kafka, S3, Datastage or NiFi
- Intermediate English level
- Basic understanding of data protection regulations (LGPD)
Benefits
- Meal or food allowance
- Medical and dental assistance
- Discounts on courses, universities, and language schools
- Access to online learning platform with certified courses
- Mentoring and professional development programs
- Wellness and healthcare benefits with partner clinics and services
- Travel and lifestyle discount clubs
- Pet-related benefits and support programs
- Flexible access to partner services and corporate perks
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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.
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