Data Analyst

Research Operations Forecasting Real Estate Data Science Communication Data Analysis Data Structures Ad Hoc Reporting Data Aggregation Agile Methodology Unstructured Data Information Gathering Business Intelligence Ability To Meet Deadlines Statistical Hypothesis Testing, As a CBRE Sr. Data Analyst, you will perform a variety of analyses to ensure that recommendations and business conclusions are backed by sound data findings and thorough data research.

This job is part of the Data Science & Analytics job function. They are responsible for reviewing data that supports improving effectiveness and predicting outcomes to develop business intelligence. What You’ll Do:

• Coordinate data aggregation and curate complex reports using various business intelligence and reporting applications.
• Perform ad-hoc, strategic review of structured and unstructured data, reflecting global real estate markets and the operations of real estate assets.
• Develop data structures and pipelines to organize, collect, cleanse, and standardize information to generate insights and address reporting needs.
• Define complex data requirements and gather information using judgment and statistical tests.
• Use programming and evaluation tools, including open-source programs to plan models and extract insights.
• Identify opportunities to maximize data usage. Apply modeling and optimization methods to develop new strategies and improve business performance.
• Develop ad-hoc reporting based on the review of existing data sources.
• Exhibit rigor, judgment, and ability to present a highly detailed ‘data story’ to many levels of the organization.
• Confirm the quality and integrity of new and existing data sources.
• Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.
• Apply general knowledge of standard principles and techniques/procedures to accomplish assigned tasks and solve routine problems.
• Have a broad knowledge of one’s own job discipline and some knowledge of several job disciplines within the function.
• Impact the quality of own work and the work of others on the team; work within guidelines and policies.
• Lead by example and model behaviors that are consistent with CBRE RISE values. May convince to reach an agreement.
• Work primarily within standardized procedures and practices to achieve objectives and meet deadlines.
• Explain complex information to others in straightforward situations., Auditing Metadata Dashboard Operations Leadership Management Governance Innovation Data Access Coordinating Communication Mixed Reality Data Pipelines Data Retention Creative Teams Detail Oriented Problem Solving Data Governance Virtual Reality Technical Issues Data Sovereignty Augmented Reality Business Valuation Product Engineering Reporting Solutions Software Engineering Full Stack Development Business Transformation Verbal Communication Skills Business Continuity Planning Troubleshooting (Problem Solving) +0

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Google IT Automation with Python Sr. Data Analyst Leidos

Washington, DC*Remote

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