Data Analyst – Qlik BI & Trade Lifecycle Dashboards

Geneva Trading

Illinois

On-site

USD 80,000 - 100,000

Full time

14 days+

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Job summary

Geneva Trading in Chicago seeks a Data Analyst for the Mid/Back Office Tech Team to design and implement Qlik Sense dashboards and related data transformations. You will work with the core development group to build backend services supporting the full trade lifecycle, ensuring data flows from front-office to back-office systems.

The ideal candidate has 2+ years in data analytics or data engineering, strong SQL and programming skills, and a track record of delivering accurate reports in a

Qualifications

  • Bachelor's degree in Computer Science or STEM field.
  • 2+ years of Data Analyst/Engineer experience.
  • Strong SQL and programming/data querying skills.
  • Understanding of relational databases and data quality.
  • Experience building BI dashboards and analytics solutions.
  • Experience with SDLC, testing, and production support.
  • Excellent communication in a fast-paced trading environment.
  • Self-starter who works well independently and in a team.
  • Ability to plan and prioritize to meet deadlines.

Responsibilities

  • Design, develop, and maintain Qlik Sense dashboards for middle/back-office.
  • Own audit trail reporting and daily 3rd-party reporting.
  • Develop backend services supporting the full trade lifecycle.
  • Ensure reliable data flow between front-office and middle/back-office.
  • Improve system performance through testing, monitoring, and automation.

Skills

SQL
Python
Data modeling
BI dashboards
Communication
Independent work
Deadline driven

Education

Bachelor's in Computer Science

Tools

Qlik Sense
Git

Job description

Geneva Trading in Chicago seeks a Data Analyst for the Mid/Back Office Tech Team to design and implement Qlik Sense dashboards and related data transformations. You will work with the core development group to build backend services supporting the full trade lifecycle, ensuring data flows from front-office to back-office systems.

The ideal candidate has 2+ years in data analytics or data engineering, strong SQL and programming skills, and a track record of delivering accurate reports in a

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