Data Analyst - Facilities & Occupancy Management

As a Data Analyst, you will be responsible for the following key responsibilities: - Collect, clean, organize, and analyze large datasets from multiple internal and external sources. - Identify trends, patterns, correlations, and business opportunities through exploratory data analysis. - Perform statistical analysis, predictive modeling, and data interpretation to support decision-making. - Develop and maintain databases, spreadsheets, and data systems ensuring accuracy and consistency. - Apply advanced analytical techniques to solve complex business problems. - Design and develop dashboards, reports, and visualizations using Power BI and Tableau. - Create executive-level presentations and summaries translating data into actionable insights. - Build automated reporting systems for real-time business performance tracking. - Ensure visualizations are clear, intuitive, and tailored to stakeholder understanding. - Develop KPI dashboards to monitor business performance and operational efficiency. - Identify improvement opportunities and support business optimization initiatives. - Assist in forecasting, budgeting, and strategic planning through data modeling. - Monitor trends and provide proactive insights for business growth. - Present findings and insights to leadership, business units, and cross-functional teams. - Translate business requirements into analytical solutions and frameworks. - Collaborate with stakeholders to define metrics, benchmarks, and performance indicators. - Facilitate data-driven discussions and provide analytical consultation. - Use Power BI, Tableau, Excel, SQL, Python (Pandas, NumPy), and R for data analysis and reporting. - Write complex SQL queries including joins, CTEs, and window functions. - Develop Python/R scripts for data manipulation, statistical analysis, and automation. - Build advanced Excel models using pivot tables, Power Query, and advanced formulas. - Work with databases such as MySQL, PostgreSQL, and MongoDB. - Ensure data accuracy, consistency, and integrity through validation and quality checks. - Perform data cleaning, transformation, and standardization. - Document data sources, methodologies, and analytical processes. - Maintain data governance standards including version control and documentation. - Conduct regular audits of datasets and reports. You should possess skills in Business Analytics, Data Visualization, SQL, Excel, Data Analysis, Forecasting, Automation, and Budgeting. The ideal candidate will have 2.00-9.00 years of experience in this field. As a Data Analyst, you will be responsible for the following key responsibilities: - Collect, clean, organize, and analyze large datasets from multiple internal and external sources. - Identify trends, patterns, correlations, and business opportunities through exploratory data analysis. - Perform statistical analysis, predictive modeling, and data interpretation to support decision-making. - Develop and maintain databases, spreadsheets, and data systems ensuring accuracy and consistency. - Apply advanced analytical techniques to solve complex business problems. - Design and develop dashboards, reports, and visualizations using Power BI and Tableau. - Create executive-level presentations and summaries translating data into actionable insights. - Build automated reporting systems for real-time business performance tracking. - Ensure visualizations are clear, intuitive, and tailored to stakeholder understanding. - Develop KPI dashboards to monitor business performance and operational efficiency. - Identify improvement opportunities and support business optimization initiatives. - Assist in forecasting, budgeting, and strategic planning through data modeling. - Monitor trends and provide proactive insights for business growth. - Present findings and insights to leadership, business units, and cross-functional teams. - Translate business requirements into analytical solutions and frameworks. - Collaborate with stakeholders to define metrics, benchmarks, and performance indicators. - Facilitate data-driven discussions and provide analytical consultation. - Use Power BI, Tableau, Excel, SQL, Python (Pandas, NumPy), and R for data analysis and reporting. - Write complex SQL queries including joins, CTEs, and window functions. - Develop Python/R scripts for data manipulation, statistical analysis, and automation. - Build advanced Excel models using pivot tables, Power Query, and advanced formulas. - Work with databases such as MySQL, PostgreSQL, and MongoDB. - Ensure data accuracy, consistency, and integrity through validation and quality checks. - Perform data cleaning, transformation, and standardization. - Document data sources, methodologies, and analytical processes. - Maintain data governance standards including version control and documentation. - Conduct regular audits of datasets and reports. You should possess skills in Business Analytics, Data Visualization, SQL, Excel, Data Analysis, Forecasting