Operations Analytics Intern: Dashboards & Data Quality

Tower Research Capital; Amsterdam; On-site; EUR 16,740 - 22,320; Part time

Benefits offered by this job

Free breakfast, lunch, and snacks

Networking events

Job summary

Tower Research Capital in Amsterdam offers a data analytics internship focused on collecting, preparing, and analyzing operational data to support business decisions. You will develop dashboards and MI reports to monitor key metrics, while performing data quality checks across multiple data domains.

The role involves cross-team collaboration and automating recurring reports using Python, SQL, and BI tools. The ideal candidate is actively pursuing a degree in data analytics or a related field

Qualifications

• Currently pursuing a degree in data analytics, statistics, or a similar discipline.
• Strong Python proficiency and familiarity with numpy/pandas.
• Experience with SQL and data visualization tools is preferred.
• Strong analytical and communication skills; interest in business analytics.

Responsibilities

• Collect, prepare, and analyze operational data to support decisions.
• Develop and maintain dashboards, reports, and MI to monitor metrics.
• Perform data quality checks across trade, position, cash, and reference data.
• Support trade lifecycle analysis including reconciliations and settlements.
• Collaborate with teams to gather requirements and deliver data-driven solutions.
• Automate recurring reports and workflows using SQL, Python, Excel, or BI tools.
• Document data sources, reporting processes, and analytics methodologies.
• Contribute to projects strengthening controls and data governance.

Skills

Python

SQL

Excel

Data analysis

Communication

Education

Pursuing degree in data analytics

Tools

SQL

Data visualization tools

Job description

Tower Research Capital in Amsterdam offers a data analytics internship focused on collecting, preparing, and analyzing operational data to support business decisions. You will develop dashboards and MI reports to monitor key metrics, while performing data quality checks across multiple data domains.

The role involves cross-team collaboration and automating recurring reports using Python, SQL, and BI tools. The ideal candidate is actively pursuing a degree in data analytics or a related field