Data Engineering - User Analytics Intern

The mission of the Data Engineering Intern is to support the successful of data platform usage analytics and an end-to-end modernization of the knowledge base.

By supporting the ingestion of logs, development of data pipelines and creation of visualization, the data engineering intern will help the Data Platform team better understand its critical data products, used in business decisions daily across the company. By working to update the knowledge base, the role will be key in ensuring all users of the data platform have access in a streamlined manner to the most updated documentation to accelerate development time.

Specific assignment: Data Engineering & Data Platform

The role contributes to the delivery of data pipelines and data products used to understand Data Platform user analytics. The role also contributes to the knowledge base and documentation of the data platform. The intern plays a key role in enabling collaboration between SME’s, IT, and end users’ teams during a critical phase of the modernization of the data platform.

Key Responsibilities

1. End user analytics

• Build data pipelines of user logs.
• Structure, transform, store and model the data for analytics.
• Prepare dashboards and KPIs on analytics

2. Knowledge base management

• Consolidate Data Platform documentation across sources such as Azure DevOps, SharePoint, OneNote and ServiceNow
• Ensure all documentation is standardized in a single strategic location
• Work with subject matter experts to update documentation where appropriate

3. Ad Hoc Engineering projects

• Work with the data engineering head and data platform owners on ad hoc projects based on business priorities

Deliverables

• User analytics data products
• User analytics data pipelines
• Updated knowledge base

Required Skills & Profile

• Currently studying Engineering, Computer Science or a technical field
• Strong Python and SQL skills
• Familiarity with Azure and cloud infrastructure strongly preferred.
• Exposure to AI assisted development
• Organized, structured, detail‑oriented
• Comfortable working with multiple stakeholders
• Good written communication skills (English required)
• Interest in Analytics, Data Science and trading.