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Technology Analyst – Data Science and Analytics

Northern Trust•Chicago, IL
•Onsite
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About The Position

As a Technology Analyst at Northern Trust, you will have the opportunity to spend 27 months working with three different teams contributing to meaningful projects, developing relevant skills to solidify the foundation for your career while joining our inclusive and relational culture. A recruiter will work with you to determine the best organizational placement given your interests, skill set and relevant experience. Technology Analysts are fully integrated into engineering and technology teams, contributing to real financial solutions. Analysts gain an inside look into the innovative technologies, practices, and business solutions that power a frontrunner in financial services.

Requirements

  • Pursuing a bachelor’s or master’s degree in Computer Science or Information Systems or related major at an accredited college/university with an expected graduation date of June 2027
  • Minimum GPA of 3.0 or higher
  • Good verbal and written communication skills
  • Highly motivated and tenacious
  • Proven analytical and problem-solving skills through course work, projects, and or previous internship experience
  • Experience learning programming languages and technology tools (examples include Java, Python, SQL, Azure DevOps, and Github)
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.
  • Northern Trust will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).

Responsibilities

  • Rotate through 3 different Technology teams aligned to Data Science or Analytics
  • 9 months each team
  • 27 months total – Completing October 2029
  • Located in Chicago, IL
  • Gain hands-on experience transforming data into actionable insights while working alongside experienced data professionals, developing skills in data engineering, analytics, statistical modeling, machine learning, and artificial intelligence
  • Contribute to real-world projects involving data pipelines, business intelligence dashboards, AI-driven solutions, and data-driven research using modern technologies, while building a strong foundation in data architecture, governance, data quality, and scalable decision-making practices
  • Some automation via coding, simple OS shell scripting, low code technology platform etc.
  • The use or development of some generative AI capabilities

Benefits

  • retirement benefits (401k and pension)
  • health and welfare benefits (medical, dental, vision, spending accounts and disability)
  • paid time off
  • parental and caregiver leave
  • life & accident insurance
  • other voluntary and well-being benefits
  • discretionary bonus program that may include an equity component

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What This Job Offers

Job Type

Full-time

Career Level

Entry Level

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