Data Analyst

CBRE; United States; Remote; USD 70,000 - 100,000; Full time

Job summary

CBRE is seeking a Data Analyst to perform basic data analysis and support business intelligence initiatives. You will help ensure recommendations and conclusions are backed by data research and findings.

You will use SQL and Python to pull data from multiple sources, develop dashboards and data assets, and deliver ad-hoc reports that tell a clear data story to business lines. Collaboration with the agile team is expected to improve data quality and 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.

Job description

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.