Analyst, Tech Solutions

Selby Jennings; Chicago (IL); On-site; USD 90,000 - 130,000; Full time

Job summary

Selby Jennings is seeking a Technology Solutions support professional to help investment professionals maximize the value of financial data and platforms. You will train users, troubleshoot issues, and guide analytics across research and data tools.

The role collaborates with engineering and data teams to automate processes, improve workflows, and promote best practices in data usage within a sophisticated investment environment.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Strong troubleshooting, analytical, and problem-solving abilities.
• Excellent verbal and written communication with business stakeholders.
• Exposure to cloud technologies and data tools.

Responsibilities

• Serve as a primary support resource for investment professionals, providing training, troubleshooting, and guidance across research, analytics, and data tools.
• Support delivery, integration, and analysis of datasets using Python, SQL, cloud platforms, and workflows.
• Collaborate with engineering and data teams to automate processes and improve operational efficiency.
• Develop and maintain internal documentation and training materials for user enablement.

Skills

Communication

Analytical thinking

Problem solving

Troubleshooting

Documentation

Education

Bachelor's degree in Computer Science, Engineering, Finance, Mathematics, or related discipline

Tools

Python

SQL

Cloud platforms

Workflow automation

Job description

Join a Technology Solutions team focused on supporting investment professionals through advanced data, analytics, and technology solutions. This role partners closely with portfolio managers, research analysts, and technical teams to deliver hands‑on support, improve workflows, and help users maximize the value of financial data and investment platforms. It is a highly visible, business‑facing position that provides exposure to investment operations, technology infrastructure, and data‑driven decision making within a sophisticated investment environment.

Key Responsibilities

• Serve as a primary support resource for investment professionals, providing training, troubleshooting, and guidance across a broad suite of research, analytics, and data tools.
• Support the delivery, integration, and analysis of financial, market, and alternative datasets using technologies such as Python, SQL, cloud platforms, and workflow orchestration tools.
• Partner with engineering and data teams to automate processes, improve operational efficiency, and promote best practices around data usage.
• Collaborate with stakeholders across multiple business and technical functions to identify solutions, drive enhancements, and share knowledge.
• Develop and maintain internal documentation, training materials, and knowledge resources to support user enablement.
• Manage application and data‑related incidents, ensuring timely resolution while driving continuous improvements in support processes and service delivery.

Required Experience

Candidates should have one of the following backgrounds:

• 3-5 years supporting business‑critical applications, data platforms, or investment‑related systems in a financial services environment.
• 3-5 years of experience working with financial data, data pipelines, analytics workflows, and technologies such as Python and SQL.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Finance, Mathematics, or a related discipline, or equivalent practical experience.
• Strong troubleshooting, analytical, and problem‑solving abilities.
• Excellent verbal and written communication skills with the ability to work directly with business stakeholders.
• Exposure to cloud technologies, databases, automation frameworks, or related technical tools.

Preferred Experience

• Prior experience within financial services, capital markets, investment management, banking, commodities, or other market‑focused environments.
• Familiarity with market data, time‑series data, alternative datasets, or analytical platforms used by investment professionals.