Data Analyst

hace 1 mes


Monterrey, Nuevo León, México Motorsport-Total GmbH A tiempo completo
Data Analyst Role Overview

We are seeking a highly motivated and detail-oriented Junior Data Analyst to support our AS&UX Segment.

This role will involve working closely with senior analysts and various departments to analyze data, generate insights, and contribute to decision-making processes.

Key Responsibilities:

  • Design, develop, and maintain scalable ETL pipelines to process and transform raw data into usable formats for analysis and reporting.
  • Implement data modeling techniques to optimize data storage and retrieval, ensuring efficient data access and query performance.
  • Utilize data analytics tools and techniques to extract insights and patterns from large datasets, enabling data-driven decision-making within the organization.
  • Develop and implement automated machine learning (AutoML) solutions to streamline the process of model development and deployment.
  • Manage and administer relational and non-relational databases, including PostgreSQL, MySQL, MongoDB, and Google Cloud SQL, ensuring data integrity, security, and availability.
  • Perform database tuning and optimization to improve query performance and overall system efficiency.
  • Utilize cloud computing platforms such as Google Cloud Platform (GCP) to deploy and manage data processing and analytics workflows.
  • Leverage GCP services including Google Cloud Storage, Google Cloud Dataproc, Google Cloud Dataflow, and Google BigQuery for scalable data processing and analysis.
  • Coordinate and oversee the release of data engineering solutions and pipelines into production environments, ensuring smooth deployment and minimal disruption to operations.
  • Work in an agile development environment, following agile methodologies such as Scrum or Kanban to iteratively deliver data engineering solutions.

Requirements:

  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
  • 0-2 years of experience in a data analyst role or a relevant internship.
  • Proficiency in Excel and experience with data visualization tools (e.g., Tableau, Power BI).
  • Basic knowledge of SQL for data querying and manipulation.
  • Familiarity with statistical analysis and data mining techniques is a plus.

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