Data Operations & Insights Analyst

CBRE

Phoenix (AZ)

On-site

USD 65,000 - 95,000

Full time

40 hours ago
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Job summary

CBRE is seeking a Data Analyst to perform basic analysis and ensure that recommendations are backed by data research and findings. This role sits in the Data Science & Analytics function and contributes to business intelligence by reviewing data, building reports, and supporting data-driven decisions.

Responsibilities include coordinating data aggregation, developing pipelines, and presenting a clear data story to stakeholders.

Qualifications

  • Bachelor's degree preferred with up to 3 years of relevant experience.
  • MCSE and CNE certification preferred.
  • Experience with analyzing information and standard practices to make judgments.
  • In-depth knowledge of Microsoft Office products (Word, Excel, Outlook).

Responsibilities

  • Coordinate data aggregation and curate reports using existing BI and reporting apps.
  • Perform ad-hoc analysis of structured/unstructured data to reflect markets and assets.
  • Assist with developing data structures and pipelines to organize, cleanse, and standardize information.
  • Define basic data requirements and gather information using judgment and tests.
  • Use programming and evaluation tools to plan models and extract insights.
  • Apply modeling and optimization methods to improve business performance.
  • Develop ad-hoc reporting based on existing data sources.
  • Present a clear data story to a business line.

Skills

Microsoft Office
Data analysis
Excel
Communication
Problem solving
Reporting

Education

Bachelor's degree or equivalent
MCSE and CNE Certification

Tools

Open-source tools

Job description

CBRE is seeking a Data Analyst to perform basic analysis and ensure that recommendations are backed by data research and findings. This role sits in the Data Science & Analytics function and contributes to business intelligence by reviewing data, building reports, and supporting data-driven decisions.

Responsibilities include coordinating data aggregation, developing pipelines, and presenting a clear data story to stakeholders.

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