Springer Capital

Data Analytics & Business Intelligence Internship- Remote

Springer Capital
Location

Ha Noi

Maps
  • Salary

    Salary: 100 - 150 USD

  • Job level

    Student / Internship

  • Deadline to apply

    25/11/2026

Benefits

  • Insurance
  • Travel
  • Incentive bonus
  • Healthcare
  • Training Scheme
  • Salary review

Job Description

About the role

We are looking for a motivated Data Analytics & Business Intelligence Intern to support our data-driven operations by building dashboards, managing datasets, automating workflows, and developing internal tools. The intern will work with technologies such as Apache Superset, ClickHouse, Apache Airflow, n8n, Baserow, Appsmith, Strapi, Outline, and GitHub to improve data accessibility, reporting accuracy, and operational efficiency.

This role is suitable for candidates interested in business intelligence, data analytics, data operations, and workflow automation.

Job Requirement

Key responsibilities

  • Develop and maintain interactive dashboards and reports using Apache Superset.

  • Query, organize, validate, and analyze datasets stored in ClickHouse.

  • Build and maintain data pipelines and scheduled workflows using Apache Airflow.

  • Automate repetitive business processes, reporting activities, and data synchronization using n8n.

  • Create and maintain structured datasets, tables, and forms in Baserow.

  • Develop internal applications, data entry interfaces, and operational tools using Appsmith.

  • Maintain structured content, documentation, and knowledge resources using Strapi and Outline.

  • Use GitHub for version control, code collaboration, documentation, and project tracking.

  • Perform data-quality checks to identify missing values, duplicates, inconsistencies, and discrepancies.

  • Collaborate with other departments to understand reporting requirements and translate them into measurable KPIs.

  • Document workflows, queries, data definitions, and troubleshooting procedures.

  • Recommend improvements to existing dashboards, data processes, and reporting systems.

    Required technical skills

  • Basic understanding of data analysis, databases, tables, and data structures.

  • Familiarity with SQL and querying relational or analytical databases.

  • Understanding of spreadsheets, data cleaning, and data validation.

  • Basic understanding of dashboards, KPIs, and data visualization.

  • Willingness to learn workflow automation, data pipelines, and internal application development.

  • Familiarity with GitHub or Git-based version control is an advantage.

Tools and technologies

  • Business Intelligence: Apache Superset

  • Database and Analytics: ClickHouse

  • Data Pipeline Orchestration: Apache Airflow

  • Workflow Automation: n8n

  • Database Management: Baserow

  • Internal Application Development: Appsmith

  • Content Management: Strapi

  • Knowledge Management: Outline

  • Version Control: GitHub

More Information

  • Age: 18 - 25
  • Salary: 100 - 150 USD
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