About the Role

As a Data Analyst, you will be instrumental in collecting, analyzing, and visualizing data to optimize facilities and occupancy management strategies. You will work with large datasets, identify key trends, build robust reporting systems, and collaborate with stakeholders to drive business decisions.

Key Responsibilities

Data Collection & Analysis

• 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.

Data Visualization & Reporting

• 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.

Business Intelligence & Insights

• 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.

Stakeholder Management & Collaboration

• 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.

Tools, Programming & Technologies

• Utilize 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.

Data Quality & Governance

• 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.

Qualifications & Experience

• Experience: 2 - 9 Years
• Job Type: Permanent