Data Analyst
hace 1 mes
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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