Senior Databricks Data Analyst

New
BrazilFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
AWSPythonArtificial IntelligenceCloud ComputingData AnalysisMachine LearningAzureDatabricksGenerative AI

Requirements

  • Strong experience applying Artificial Intelligence and Machine Learning to business use cases and operational processes.
  • Proven experience with process automation and workflow optimization.
  • Advanced knowledge of Python for scripting, data manipulation, and system integration.
  • Solid experience in data analysis and KPI development for business performance tracking.
  • Hands-on experience with Databricks for large-scale data processing and analytics.
  • Strong analytical mindset with excellent problem-solving and critical thinking skills.
  • Experience generating insights and recommendations based on complex datasets.
  • Ability to work in multidisciplinary teams focused on efficiency and scalable solutions.
  • Experience with Machine Learning and Generative AI applications.
  • Knowledge of data architecture and Big Data ecosystems.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Familiarity with data visualization tools such as Power BI or Tableau.

Responsibilities

  • Design and implement AI-driven solutions to optimize business processes and support data-informed decision-making.
  • Develop and maintain automated workflows and operational pipelines to increase efficiency and scalability.
  • Build scripts and integrations using Python for data processing, transformation, and advanced analytics.
  • Collect, clean, and analyze large datasets to generate actionable business insights and recommendations.
  • Define, monitor, and maintain KPIs to support business performance tracking and strategic planning.
  • Use Databricks to process, engineer, and analyze large-scale datasets in cloud-based environments.
  • Contribute to projects focused on operational efficiency, automation, and scalable data solutions.
  • Identify improvement opportunities through data analysis and propose automation or optimization strategies.
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