Data Analyst (Entry Level) (Remote)

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Job Summary:

CBRE is a global leader in commercial real estate services and investments, and they are seeking a Data Analyst to support their Data Science & Analytics function. The role involves performing data analysis to inform business decisions, developing data dashboards, and collaborating with teams to enhance processes.

Responsibilities:

• 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.

Qualifications:

Required:

• 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.

Company:

Operating across every dimension of commercial real estate, CBRE sees more so you can do more. Founded in 1906, the company is headquartered in Dallas, Texas, USA, with a team of 10001+ employees. The company is currently Public Company. CBRE has a track record of offering H1B sponsorships.