Data Analyst
CBRE
Job Information: PeopleSoft Job Code/ Title: Data Analyst (DE0007) Global Level: GL-12 Job Family/Function: Digital & Technology / Data Science & Analytics About the Role: As a CBRE Data Analyst, you will perform basic analysis to ensure that recommendations and business conclusions are backed by thorough data research and findings.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:
- Use SQL and other scripting languages to develop and maintain complex queries that pull and curate data from multiple sources
- Develop and maintain data dashboards and associated assets including scripts, tables, workflows, and supporting processes in accordance with team standards
- Apply fundamental data structures and algorithms to solve complex problems
- Define basic data requirements and gather information using judgment and statistical tests.
- Use programming and evaluation tools (e.g. Python), including open-source programs to plan models and extract insights.
- Apply modeling and optimization methods to improve business performance.
- Develop and maintain data models, data automation systems, low-code solutions, and reporting systems and performance metrics support.
- Develop ad-hoc reporting based on the review of existing data sources.
- Exhibit rigor, judgment, and ability to present a detailed 'data story' to a business line.
- Confirm the quality and integrity of existing data sources.
- Collaborate with the agile development team to provide recommendations and communications on enhancing existing or new processes and programs.
- Have some knowledge of standard principles with limited practical experience in applying them.
- Lead by example and model behaviors that are consistent with CBRE RISE values.
- Impact the quality of your own work.
- Work within standardized procedures and practices to achieve objectives and meet deadlines.
- Exchange straightforward information, ask questions, and check for understanding.
- Bachelor’s degree in computer science, Information Systems, or a related field with up to 1-4 years of relevant experience
- In-depth experience with SQL, data visualization tools, ETL pipelines, and database management systems
- Strong programming skills, with experience in Python, utilizing it for data analysis and evaluation tasks.
- Ability to use existing procedures to solve standard problems.
- Experience with analyzing information and standard practices to make judgments.
- Organizational skills with a strong inquisitive mindset.
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