Analyst I

Overview

Connecting clients to markets and talent to opportunity

With 4300 employees and over 400000 retail and institutional clients from more than 80 offices spread across five continents were a Fortune-100 Nasdaq-listed provider connecting clients to the global markets focusing on innovation human connection and providing world-class products and services to all types of investors.

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 youll 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.

Business Segment Overview

Corporate:Engage in a deep variety of business-critical activities that keep our company running efficiently. You will have the opportunity to optimize processes and implement procedures for data movement quality and business analysis as part of our Global Customer Data Hub department.

Position Purpose: The global customer data hub is an important part of StoneX Group Inc.s overall technology and data strategy. Reporting to the Senior Manager Data Delivery the Junior Business Analyst assumes ownership of data and business analysis production operations coordination and data quality activities. They will have dotted line reporting to more senior technical and business analysts and will work on projects on both an ongoing and ad-hoc basis.

Primary Accountabilities/Responsibilities:

• Analyze Business Data:
  • Perform detailed analysis of business data to identify trends and insights.
  • Utilize data visualization tools to present findings.
  • Collaborate with stakeholders to understand data requirements.

• Document Requirements for Development:
  • Assist in gathering and documenting business requirements.
  • Translate business needs into technical specifications (e.g. Source to Target).
  • Ensure clear communication between development and testing teams.

• Handle Data Operations Support:
  • Identify the right developers to provide Level 1/2 support for data operations issues.
  • Support troubleshooting and resolve data-related problems.
  • Coordinate with various teams to ensure smooth data operations.
  • Monitor data workflows and processes to identify trends in issues and incidents.
• Support Data Quality Assurance:
  • Participate in efforts to improve the quality of data in the Data Lakehouse and MDM.
  • Conduct system integration and regression tests on projects as assigned
  • Resolve bugs in the code and data quality issues identified
  • Monitor data quality and integrity.

This list of duties and responsibilities is not intended to be all-inclusive and can be expanded to include other duties or responsibilities that management deems necessary.

Required:

• Education & Experience:
  • Bachelors degree in computer science Information Systems Business Analytics or a related field.
  • 02 years of relevant experience in a data or business analysis role (internships or academic projects count).

• Skill Set:
  • Strong analytical mindset with the ability to interpret data and generate insights.
  • Basic understanding of data visualization tools (e.g. Power BI) and Excel.
  • Experience with SQL Python and Spark as part of academic or industry projects
  • Excellent written and verbal communication skills to collaborate with cross-functional teams.
  • Detail-oriented with strong organizational and time management abilities.
  • Eagerness to learn and grow in a fast-paced data-driven environment.
  • Ability to work independently and take initiative when solving problems.

Preferred:

• Exposure to data warehousing concepts data lakes and MDM systems.
• Experience working in a cloud environment (such as Databricks on Azure)
• Experience working with Agile or Scrum methodologies.
• Knowledge of tools like JIRA Confluence or similar platforms.

Working Environment:

• Hybrid