Research Analyst (ICT)

About the Role

CortixIQ Global Intelligence (CortixIQ) is an independent decision intelligence and research company focused on enabling evidence-based decision-making in complex, high-stakes markets. CortixIQ develops interactive ROI calculators, analyst-style value reports, and structured decision frameworks. The company is known for its CortixIQ Software Intelligence Matrix™, which supports enterprise software evaluation and vendor selection.

The Analyst internship role is a remote position focused on supporting research, analysis, and decision intelligence projects. This role emphasizes learning, rigor, and practical exposure to high-stakes, ROI-driven decision environments.

Key Responsibilities

• Collect and validate data on enterprise software and technology markets.
• Assist in building ROI and value models.
• Contribute to structured comparison frameworks.
• Draft and refine analyst-style summaries.
• Prepare presentation materials.
• Translate qualitative and quantitative findings into clear, decision-ready insights.
• Collaborate with senior analysts and product teams.
• Participate in internal discussions on methodology and signal interpretation.
• Support ongoing improvements to the CortixIQ Software Intelligence Matrix™.

Requirements & Tech Stack

• Strong analytical and quantitative abilities.
• Comfort with spreadsheets and basic financial concepts (e.g., ROI, cost-benefit, risk-adjusted outcomes).
• Skills in structured problem-solving.
• Research and information synthesis skills:
• Experience finding credible sources.
• Evaluating data quality.
• Organizing complex information into clear frameworks.
• Written communication skills for drafting concise reports, summaries, and presentations, with attention to clarity, structure, and non-biased language.
• Interest in enterprise software, technology markets, or digital platforms.
• Ability to quickly understand product features, use cases, and business impact.
• Ability to work independently in a remote environment and manage time effectively.
• Ability to collaborate asynchronously with global team members.
• Familiarity with data analysis tools, such as Excel, Google Sheets.
• Exposure to BI tools or basic scripting is a plus.
• Comfort learning new software.
• Demonstrated curiosity and critical thinking.

Qualifications

• Pursuing or recently completed a degree in economics, business, finance, data science, engineering, public policy, or a related field, or equivalent practical experience.