CRE AI Analyst/Remote

Job Description – CRE AI Analyst

Job Title

CRE AI Analyst
(Customer/Client Relationship & Experience AI Analyst or Corporate Real Estate AI Analyst — can be customized based on your organization’s meaning of CRE)

Role Summary

The CRE AI Analyst is responsible for analyzing business data, developing AI-driven insights, and supporting automation and decision-making processes within the CRE function. The role involves working with AI tools, data analytics platforms, and business stakeholders to improve operational efficiency, reporting, forecasting, and customer or enterprise experience.

Key Responsibilities

• Analyze operational and business data to identify trends and improvement opportunities.
• Develop AI/ML-based insights, dashboards, and predictive models.
• Support automation initiatives using AI tools and analytics platforms.
• Collaborate with business, operations, and technical teams to gather requirements.
• Monitor AI model performance and ensure data accuracy and quality.
• Prepare reports, visualizations, and presentations for stakeholders.
• Assist in implementing AI-driven process improvements and recommendations.
• Support data integration, cleansing, and validation activities.
• Research emerging AI technologies and analytics best practices.
• Ensure compliance with data governance and security policies.

Required Skills

• Knowledge of AI, machine learning, and data analytics concepts.
• Experience with data visualization and reporting tools.
• Understanding of SQL, Python, or data analysis tools.
• Familiarity with AI platforms, automation tools, and cloud technologies.
• Strong analytical and problem-solving skills.
• Ability to interpret data and communicate insights effectively.

Preferred Qualifications

• Experience with AI/ML tools and dashboard platforms is preferred.
• Certifications in AI, Data Analytics, or Cloud technologies are an advantage.

Tools & Technologies

• Programming: Python, SQL
• Visualization: Power BI, Tableau
• AI/ML Tools: TensorFlow, Azure AI, OpenAI APIs
• Databases: MySQL, PostgreSQL, SQL Server
• Cloud Platforms: AWS, Azure, Google Cloud Platform