Junior Staff, Data Engineering & Analytics

StoneXBirmingham, AL
15hOnsite

About The Position

Connecting clients to markets – and talent to opportunity With 5,4 0 0 + employees and over 80,000 institutional, commercial, and payment s clients, we operate from more than 8 0 offices spread across six continents. As a Fortune 100, Nasdaq-listed provider, we connect clients to the global markets – focusing on innovation, human connection, and providing world-class products and services to all types of investors. Whether you want to forge a career connecting our retail clients to potential trading opportunities, or ingrain yourself in the world of institutional investing, StoneX Group is made up of four business segments that offer endless potential for progression and growth. Business Segment Overview Corporate: Engage in a deep variety of business-critical activities that keep our company running efficiently. From strategic marketing and financial management to human resources and operational oversight, you’ll have the opportunity to optimize processes and implement game-changing policies. Responsibilities At StoneX, we offer you the opportunity to be part of an institutional-grade financial services network that connects companies, organizations, and investors to the global markets ecosystem. As a team member, you'll benefit from our unique blend of digital platforms, comprehensive clearing and execution services, personalized high-touch support, and deep industry expertise. Elevate your career with us and make a significant impact in the world of global finance.

Requirements

  • Ability to deliver quality work with minimal supervision
  • Strong time management and organizational skills
  • Detail-oriented with strong documentation habits
  • Ability to multitask and prioritize in a fast-paced environment
  • Clear and effective verbal and written communication skills in English
  • Strong collaboration skills and willingness to learn
  • High proficiency in Microsoft Excel
  • Candidates graduating after December 2025 will not be considered.

Responsibilities

  • Supporting data engineering and analytics efforts through data extraction, transformation, and validation
  • Navigating relational databases and writing SQL queries to retrieve and analyze data
  • Assisting with the development and maintenance of ETL processes using tools such as SSIS, Azure Data Factory, or similar
  • Contributing to process automation initiatives using tools such as UiPath and Microsoft Power Automate , including automating data flows, reporting tasks, and operational processes
  • Writing and maintaining scripts in C#, PowerShell, or similar languages to support data processing and automation
  • Working with APIs and file-based data integrations (CSV, JSON, XML, etc.)
  • Supporting reporting and analytics deliverables using tools such as Power BI or other BI platforms
  • Assisting with documentation, testing, and continuous improvement of data and automation solutions
  • Collaborating with senior team members to learn best practices in data engineering, analytics, and automation
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