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Data Analyst Internship at Ford Land. Ford Land creates, manages, develops, and operates commercial real estate properties supporting the broader mission of Ford Motor Company. Their portfolio includes office buildings, research and development facilities, and workspace environments designed for productivity, innovation, and human connection. . At Ford Land, data plays a key role in decision-making—whether it’s optimizing space usage, operational leasing, facility maintenance, or tenant satisfaction metrics.. Role Overview:. As a Data Analyst Intern, you’ll support the Ford Land team by extracting insights from property operations, tenant data, leasing, and facilities. You’ll help the company make data‑driven decisions to improve efficiency, reduce costs, and enhance tenant experience. . This is a paid internship position, with competitive hourly compensation based on experience and qualifications.. You will:. . Work across business units (leasing, operations, facilities, finance) . . Analyze large and small datasets to detect patterns, trends, anomalies . . Build dashboards and reports for leadership and operations teams . . Help design data pipelines, clean and transform data, and maintain data integrity . . Contribute to predictive modeling . . Provide actionable recommendations based on insights . . Key Responsibilities:. . Data Collection & Cleaning. Gather data from various sources (property management systems, sensor data, tenant feedback, maintenance logs, financial systems). Clean and transform raw data (handle missing values, duplicates, outliers) to make it analysis-ready. . . Exploratory Data Analysis & Reporting. Explore metrics such as occupancy rates, energy usage, maintenance costs, tenant satisfaction scores. . . Dashboard Development. Create interactive dashboards to track key performance indicators (KPIs) such as vacancy levels, lease renewals, space utilization, revenues per square foot, etc. . . Predictive & Statistical Modeling. Help develop simple models (regression, time series) to forecast future leasing demand, facility usage, or cost trends. . . Data Governance & Documentation. Maintain data dictionaries, document data pipelines and transformation logic, ensure data accuracy and consistency. . . Cross-Functional Collaboration. Work with property managers, leasing, finance, facilities, and leadership to present insights and help guide operational decisions. . . . Currently pursuing or recently graduated in Data Science, Statistics, Computer Science, Economics, or a related field . . Strong foundation in statistics and data analysis . . Proficiency in Excel (pivot tables, functions) . . Experience with SQL for querying databases . . Familiarity with data visualization tools (Tableau, Power BI, or equivalent) . . Ability to clean and transform messy data . . Excellent communication skills — able to explain technical insights to non-technical stakeholders . . Attention to detail, curiosity, and problem-solving mindset. . Company Location: United States.