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Analytics Engineer

株式会社ニーリー

  • Redash
  • BigQuery
  • Django
  • Jira
  • Datadog
  • AWS
  • Python
  • GCP
  • TypeScript
  • SQL

As an Analytics team, we conduct tasks such as data analysis and visualization, data collection and integration, and automation, and recruit those who can lead the team's development. We apply technology environments such as DWH and data bases (BigQuery, Aurora, DynamoDB), BI tools (Redash, Looker Studio), and ETL tools (trocco) to support data analysis and visualization, and to promote the standardization and documentation of KPIs and related analysis.

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Urgent

Analytics Consultant

株式会社ブレインパッド

  • Python
  • SQL
  • Machine Learning
  • IoT
  • Data Analysis
  • R
  • Tableau
  • BI
  • CRM
  • ERP

In the position of Analytics Consultant, you will support the improvement of client management and data analysis expertise as a specialist in data analysis, and conduct quantitative analysis of business optimization issues such as marketing optimization and operation improvement. Specifically, you will conduct strategic planning and implementation of marketing optimization and operation improvement, and provide support for data utilization, as well as promote the development of new technologies in a comprehensive manner to support knowledge related to technology and business improvement.

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Data analysis infrastructure engineer

クラスメソッド株式会社

  • Data Warehouse
  • Hadoop
  • Talend
  • RDBMS
  • AWS
  • SQL
  • Data Analysis
  • Tableau
  • BI
  • BI Tools

In the position of data analysis infrastructure engineer, you will be responsible for the overall construction of data analysis infrastructure using AWS. From planning to operation, you will be required to contribute to a wide range of business by collaborating with internal engineers and business departments, and actively promoting business improvement.

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Data Engineer

株式会社truestar

  • Data Visualization
  • Data Warehouse
  • ETL Tool
  • SQL
  • Data Analysis
  • Cloud
  • Project Management
  • programming
  • BI Tools
  • BI Tool

As a data engineer, you will propose and implement improvement measures for data visualization, data enrichment, and infrastructure construction, and provide active support for client data utilization, providing a wide range of attractive outputs for client data activities.

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