Data Analytics Intern: Build Dashboards, Pipelines & Insights

TOT TOTE Board; Singapore; On-site; SGD 13,000 - 20,000; Part time

Job summary

The Tote Board Data Office invites an energetic university student to join as an data intern, contributing to data management, integration, analytics and reporting. You will gain hands-on experience with enterprise data platforms and modern data engineering practices, including Databricks, data quality management and BI solutions.

You will support data preparation, analysis, dashboard development and automation, creating clean datasets, SQL queries and reusable scripts.

Qualifications

• Pursuing university degree or diploma in CS/IT/Data Science or related field.
• Strong analytical, research, communication and problem-solving skills.
• Proficiency in SQL and Microsoft Excel.
• Familiarity with Python or R, Power BI or Tableau, and Databricks.
• Basic understanding of data management and ETL concepts.
• Ability to document processes clearly.

Responsibilities

• Consolidate data from multiple source systems.
• Clean and validate data, addressing duplicates and missing values.
• Support data quality improvement activities.
• Assist with data integration and transformation using Databricks.
• Develop SQL queries to extract and analyse data.
• Perform basic exploratory data analysis using Python or R.
• Develop and maintain dashboards and reports using Power BI or Tableau.
• Document data flows and technical procedures.

Skills

SQL

Python

R

Excel

Communication

Analytical thinking

Education

University degree or polytechnic diploma in Computer Science, IT, Data Science or related

Tools

Databricks

Power BI

Tableau

Job description

The Tote Board Data Office invites an energetic university student to join as an data intern, contributing to data management, integration, analytics and reporting. You will gain hands-on experience with enterprise data platforms and modern data engineering practices, including Databricks, data quality management and BI solutions.

You will support data preparation, analysis, dashboard development and automation, creating clean datasets, SQL queries and reusable scripts.