Business Analytics Intern - 6 Month Internship Opportunity

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

Responsibilities

• Collecting, preparing, and analyzing operational and treading data to support business decisions and improve operational functions
• Developing and maintaining dashboards, reports, and management information to monitor key operational metrics and identify trends or exceptions
• Performing data quality checks and investigating discrepancies across trade, position, cash, and reference data, ensuring the accuracy and integrity of operational information
• Supporting the analysis of the trade lifecycle, including reconciliations, settlements, and post-trade processes, helping to identify opportunities for process improvements
• Collaborating across teams to gather business requirements and deliver data-driven solutions for operational challenges
• Assisting in automating recurring reports and manual workflows using SQL, Python, Excel, or business intelligence tools to improve scalability and reduce operational risk
• Documenting data sources, reporting processes, and analytical methodologies to ensure consistency, transparency, and effective knowledge sharing
• Contributing to projects focused on enhancing operational processes, strengthening controls, and improving data governance across the firm

Qualifications

• Currently pursuing a degree in data analytics, statistics, or a similar discipline
• Proficiency with Python and its common numerical/predictive libraries (numpy, pandas, etc.)
• Proficiency with relational databases such as SQL, as well as data visualization tools is desired
• Strong analytical and communication skills
• An interest in business analytics
• Ability to start by October 2026

Benefits

• Free breakfast, lunch, and snacks daily
• Exciting networking and social events

Tower Research Capital is an equal opportunity employer.