Role Description The Data Insights Analyst (Remote, Entry-Level) is a part-time role focused on supporting data-driven decisions across CN Property Global’s property sales, leasing, and investment services. On a day-to-day basis, the analyst will collect, clean, and organize data from internal systems and external sources, and perform basic data analysis to identify trends in customer behavior, property performance, and market conditions. The role includes building simple reports and dashboards, assisting with data modeling tasks under guidance from senior team members, and preparing clear summaries of findings for business stakeholders.
The analyst will collaborate with colleagues in sales, marketing, and operations to answer data-related questions and improve processes, working fully remotely with regular virtual meetings and check-ins. This position is designed for early-career talent who are eager to learn, apply analytical thinking, and grow within the real estate and investment domain.
Qualifications
Candidates should possess strong Analytical Skills and foundational Data Analytics capabilities to interpret datasets and generate actionable insights.
Candidates should possess basic knowledge of Statistics and Data Modeling to support forecasting, trend analysis, and simple predictive models.
Candidates should possess effective Communication skills to present findings clearly in written reports, visualizations, and presentations.
Candidates should possess proficiency with spreadsheet tools (e.g., Excel or Google Sheets) and introductory experience with data visualization tools (e.g., Power BI, Tableau, or similar).
Candidates should possess attention to detail, a structured approach to problem-solving, and the ability to learn quickly in an entry-level data role.
Candidates should possess the ability to work independently in a remote environment, manage part-time hours responsibly, and collaborate effectively with virtual teams.
Relevant academic background in Data Science, Statistics, Mathematics, Economics, Computer Science, Business, or a related field (completed or in progress) is beneficial.
Interest in real estate, investment services, or financial markets is a plus; prior internship or project experience with data analysis is advantageous but not required.