Data Analyst

CareerCircle
Overland Park, KS, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Artificial Intelligence Data Analysis Microsoft Outlook Computerized Maintenance Management Systems Computer Programming Information Engineering Data Normalization Data Structures Data Visualization Statistical Hypothesis Testing Python (Programming Language)
+16 more
Microsoft Office Open Source Technology Power BI Salesforce.Com SQL Databases Tableau (Software) Unstructured Data Microsoft Power Automate Microsoft Fabric Pyspark Machine Learning Operations GPT Custom Reports Alteryx Databricks Programming Languages

Job description

As a CBRE Data Sr. 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 operational teams 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

Requirements

Claude AI Pipelines Operations Databricks Forecasting Real Estate Data Science Communication Data Analysis Data Modeling Detail Oriented Microsoft Excel Problem Solving Data Structures Microsoft Office Ad Hoc Reporting Data Engineering Data Aggregation Microsoft Fabric Microsoft Outlook Unstructured Data Influencing Skills Data Visualization Programming Languages Information Gathering Organizational Skills Business Intelligence Intellectual Curiosity Complex Problem Solving Microsoft Power Automate Ability To Meet Deadlines SQL (Programming Language) Python (Programming Language) Statistical Hypothesis Testing Tableau (Business Intelligence Software), 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. Will need ability to influence 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

Ability to document processes

What You’ll Need:

Bachelor’s Degree preferred with 2-5 years of relevant experience. A combination of experience and education will be considered in lieu of a degree. Master’s degree preferred

Understanding of existing procedures and standards to solve complex problems

Ability to understand possible solutions using technical experience to apply appropriate judgment and precedents

In-depth knowledge of Microsoft Office products. Examples include PowerBi, Power Automate, Excel, Outlook, etc.

Strong organizational skills with an inquisitive mindset

Experience with data analysis, data modeling, and data visualization tools, specifically Alteryx, PowerBi and Tableau

Proficiency in programming languages specifically: SQL and Python

Some data engineering skills preferred including PySpark for Microsoft Fabric and Databricks

Ability to work collaboratively in a team environment and communicate effectively with stakeholders

Strong problem-solving skills and attention to detail; leveraging AI tools such as Claude, ChatGPT, and Co-Pilot.

Ability to manage multiple projects and meet deadlines in a fast-paced environment

Knowledge of CMMS systems is preferred, Claude AI Pipelines Operations Databricks Forecasting Real Estate Data Science Communication Data Analysis Data Modeling Detail Oriented Microsoft Excel Problem Solving Data Structures Microsoft Office Ad Hoc Reporting Data Engineering Data Aggregation Microsoft Fabric Microsoft Outlook Unstructured Data Influencing Skills Data Visualization Programming Languages Information Gathering Organizational Skills Business Intelligence Intellectual Curiosity Complex Problem Solving Microsoft Power Automate Ability To Meet Deadlines SQL (Programming Language) Python (Programming Language) Statistical Hypothesis Testing Tableau (Business Intelligence Software) +0

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