Data Analytics Sênior

Jobgether; Brasil; Remote; BRL 120,000 - 180,000; Full time

Benefits offered by this job

Remote work

Udemy learning incentive

English classes

Indefinite-term engagement

PJ contractor arrangement

Job summary

Jobgether is seeking a Senior Data Analytics Specialist to transform complex data into actionable insights in a fully remote Brazil-based role. You will build models, dashboards, and ETL processes using SQL, Python, Power BI, and BI tools, collaborating with cloud environments.

You will leverage Databricks and Big Data tech to support decision-makers, communicating findings clearly to technical and non-technical audiences while delivering scalable data solutions under an independent contractor

Qualifications

• Proven experience in data analytics, including data analysis and data modeling.
• Strong knowledge of SQL and Python for data querying, transformation, and analysis.
• Practical experience with business intelligence and data visualization tools, particularly Power BI or Tableau.
• Experience designing or maintaining ETL/ELT pipelines and integrating data from different sources.
• Familiarity with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Advanced or fluent English proficiency is mandatory.
• Experience with Databricks and Big Data technologies is considered an advantage.

Responsibilities

• Analyze, interpret, and model data to generate actionable insights and support business decision-making.
• Use SQL and Python to query, transform, process, and analyze datasets.
• Develop and maintain dashboards, reports, and visualizations using Power BI or Tableau.
• Design, implement, and maintain ETL/ELT workflows to support efficient data processing and integration.
• Integrate data from multiple sources, ensuring consistency, reliability, and availability for analytical use cases.
• Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform to support data solutions.
• Contribute to the development and improvement of data models, analytical processes, and reporting capabilities.
• Apply appropriate data analysis practices to identify trends, patterns, and opportunities for business improvement.

Skills

SQL

Python

Data modeling

Data analysis

Data visualization

Power BI

Tableau

ETL/ELT

Databricks

Tools

Power BI

Tableau

Databricks

ETL tools

Job description

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Senior Data Analytics Specialist based in Brazil.

The Senior Data Analytics Specialist will transform complex data into actionable insights that support strategic decisions and improve business performance. This role combines data analysis and modeling with hands-on development using SQL, Python, and business intelligence tools. You will contribute to data integration and ETL/ELT processes, helping ensure that information is reliable, accessible, and ready to support analytical initiatives. Working with cloud platforms and modern data technologies, you will help develop scalable solutions in a collaborative, results-oriented environment. Experience with Databricks and Big Data technologies is an advantage for professionals looking to work with advanced data ecosystems. This is a fully remote opportunity offered under a Brazilian independent contractor (PJ) arrangement, with an indefinite-term engagement.

Accountabilities

• Analyze, interpret, and model data to generate actionable insights and support business decision-making.
• Use SQL and Python to query, transform, process, and analyze datasets.
• Develop and maintain dashboards, reports, and visualizations using Power BI or Tableau.
• Design, implement, and maintain ETL/ELT workflows to support efficient data processing and integration.
• Integrate data from multiple sources, ensuring consistency, reliability, and availability for analytical use cases.
• Work with cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform to support data solutions.
• Contribute to the development and improvement of data models, analytical processes, and reporting capabilities.
• Apply appropriate data analysis practices to identify trends, patterns, and opportunities for business improvement.
• Collaborate with stakeholders and multidisciplinary teams to understand analytical needs and deliver relevant solutions.
• Communicate findings, recommendations, and technical information clearly to technical and non-technical audiences.
• Demonstrate initiative, prioritize competing demands, and respond effectively to urgent business requirements.
• Leverage Databricks and Big Data technologies where applicable to enhance data processing and analytics capabilities.

Requirements

• Proven experience in data analytics, including data analysis and data modeling.
• Strong knowledge of SQL and Python for data querying, transformation, and analysis.
• Practical experience with business intelligence and data visualization tools, particularly Power BI or Tableau.
• Experience designing or maintaining ETL/ELT pipelines and integrating data from different sources.
• Familiarity with at least one major cloud platform: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Advanced or fluent English proficiency is mandatory.
• Experience with Databricks and Big Data technologies is considered an advantage.
• Strong analytical thinking and problem-solving skills, with the ability to translate data into useful business insights.
• Excellent communication skills and the ability to collaborate effectively with different teams and stakeholders.
• A proactive, collaborative approach to work, with a strong sense of urgency and the ability to prioritize tasks.
• Ability to manage responsibilities independently while contributing to shared team objectives.

Benefits

• Remote work: Fully remote working arrangement.
• Contract type: Independent contractor (PJ) arrangement in Brazil.
• Contract duration: Indefinite-term engagement.
• Learning and development: Access to learning incentive programs, including Udemy.
• Language development: Corporate English classes offered at accessible rates.
• Salary and compensation: The original job description does not specify a salary range, payment structure, or performance-based compensation. Confirm these details with the hiring team.
• Additional benefits: The original posting does not specify healthcare coverage, paid time off, or other financial and wellbeing benefits. Confirm the applicable terms and benefits for the PJ arrangement during the recruitment process.

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.