Data Analyst, Qlik BI for Mid/Back Office

Geneva Trading

Chicago, Northern (IL, KY)

Hybrid

USD 80,000 - 100,000

Full time

10 days ago

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Job summary

Geneva Trading in Chicago seeks a Data Analyst in the Mid/Back Office Tech Team to design, develop, and transform data for Qlik Sense dashboards and related BI outputs.

You will collaborate with the core development team to build backend services supporting the full trade lifecycle, ensuring accurate data flow from front-office systems through middle and back-office platforms, while optimizing performance and reliability in a fast-paced trading environment.

Qualifications

  • Academic degree in Computer Science or another STEM-related field.
  • 2+ years of experience as a Data Analyst or Data Engineer.
  • Strong SQL and programming skills.
  • Experience with BI dashboards and self-service analytics.
  • Experience with end-to-end software lifecycle and deployments.
  • Excellent communication in fast-paced trading environments.
  • Ability to work independently and in a team.

Responsibilities

  • Lead Qlik Sense dashboard design, development, and data load transformations for middle and back-office.
  • Own the audit trail reporting and manage daily third-party reporting.
  • Develop backend services to support the full trade lifecycle.
  • Ensure accurate data flow between front-office and middle/back-office systems.
  • Support production systems and improve performance, reliability, and observability.

Skills

SQL
Programming
Data analysis
Communication
Independent work

Education

BSc in Computer Science or STEM

Tools

Qlik Sense
SQL databases

Job description

Geneva Trading in Chicago seeks a Data Analyst in the Mid/Back Office Tech Team to design, develop, and transform data for Qlik Sense dashboards and related BI outputs.

You will collaborate with the core development team to build backend services supporting the full trade lifecycle, ensuring accurate data flow from front-office systems through middle and back-office platforms, while optimizing performance and reliability in a fast-paced trading environment.

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