Data Analytics Sênior

Jobgether; United States; Remote; USD 90,000 - 130,000; Full time

Benefits offered by this job

Remote work: Fully remote

Independent contractor (PJ) in Brazil

Indefinite-term engagement

Udemy learning incentive

Corporate English classes

Salary details not specified; discuss

Job summary

Jobgether is seeking a data analytics professional to analyze, model, and transform data, delivering actionable insights to guide business decisions. You will build dashboards with Power BI or Tableau, design ETL/ELT processes, and integrate data from multiple sources across AWS/Azure/GCP.

The role requires strong SQL/Python skills, experience with Databricks and Big Data technologies, and excellent communication in English.

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 BI tools (Power BI or Tableau).
• Experience designing or maintaining ETL/ELT pipelines and data integration.
• Familiarity with AWS, Azure, or Google Cloud Platform.
• Advanced English proficiency is mandatory.
• Experience with Databricks and Big Data technologies is an advantage.
• Ability to translate data into actionable business insights.
• Excellent communication and collaboration skills.
• Proactive, urgent, and independent work mindset.

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.
• 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.

Skills

Data analytics

SQL

Python

BI tools

ETL/ELT

Cloud platforms

Databricks

Big Data

English proficiency

Communication

Tools

Power BI

Tableau

SQL tooling

Python tooling

AWS

Azure

GCP

Job description

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.