Description

Analyze complex financial trading workflows and system integrations to deliver actionable business intelligence and support data-driven decision-making.

This role is on-site.

Responsibilities

• Coordinate with Product, Engineering, and Business partners to define data domains, models, and insight requirements.
• Develop execution plans to capture data, perform ad hoc analysis, and build reusable intelligence dashboards.
• Design business reports to track key performance and usage metrics for Enterprise Technology systems.
• Train internal user communities on data insight offerings to drive regular adoption.
• Present data-driven insights to management to improve data quality and models.

Required Skills

• 5+ years of experience in financial services IT, supporting enterprise-wide trading environments.
• Strong SQL skills for data extraction and manipulation.
• Proficiency in Python and scripting languages.
• Hands-on experience with data modeling and analysis using Qlik Sense, Excel, or Jupyter Notebooks.
• Experience with hardware/application architecture, configuration, and monitoring.
• Ability to communicate quantitative information to both technical and non-technical stakeholders.

Preferred Skills

• Degree in Computer Engineering, Computer Science, or a related field.

Key Skills

Education

Any Graduate