Sr. Data Analyst

CBRE; Tampa (FL); On-site; USD 85,000 - 115,000; Full time

Job summary

CBRE is seeking a Data Sr. Analyst in Tampa to perform analyses ensuring recommendations are backed by data findings and research. This role sits in the Data Science & Analytics function and focuses on reporting and business intelligence.

You will build data pipelines and use SQL, Python, Power BI, Tableau, and Alteryx to extract insights and drive decisions. Ideal candidates have 2–5 years of experience and a Bachelor's degree.

Qualifications

• Bachelor's Degree preferred with 2–5 years of relevant experience; combination considered.
• Strong knowledge of MS Office incl. Power BI and Excel; ability to apply judgment.
• Experience with data analysis, data modeling and data visualization tools.

Responsibilities

• Coordinate data aggregation and curate complex reports using BI tools.
• Develop data structures and pipelines to organize, cleanse, and standardize information.
• Identify opportunities to maximize data usage and develop new strategies.
• Present data stories clearly to stakeholders and collaborate with teams.

Skills

SQL

Python

Power BI

Tableau

Alteryx

Data Visualization

Data Modeling

AI tools

Education

Bachelor's Degree

Master's degree preferred

Tools

Power Automate

Excel

Outlook

Databricks

PySpark

Microsoft Fabric

Job description

About TheRole

As a CBRE Data Sr. Analyst, you will performa variety of analyses to ensure that recommendations and business conclusions are backed by sound data findings and thorough dataresearch.

As a CBRE Data Sr. Analyst, you will performa variety of analyses to ensure that recommendations and business conclusions are backed by sound data findings and thorough dataresearch.

This job ispart of the Data Science& Analytics job function. Theyare responsible for reviewing data that supports improving effectiveness andpredicting outcomes to develop business intelligence.

What You'll Do

• Coordinate data aggregation and curate complex reports using various business intelligence and reportingapplications
• Perform ad-hoc, strategic review ofstructured and unstructured data, reflectingglobal real estate markets and the operations of real estate assets
• Develop data structuresand pipelines to organize, collect, cleanse, and standardize information to generate insights and addressreporting 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 datausage. Apply modeling and optimization methods to develop new strategies andimprove business performance
• Develop ad-hoc reporting based on the review of existing data sources
• Exhibit rigor, judgment, and ability to present a highlydetailed 'data story' to many levels of theorganization
• 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 generalknowledge of standard principles and techniques/procedures to accomplish assigned tasks and solveroutine problems
• Have a broadknowledge of one's own job discipline and some knowledge of severaljob disciplines within the function
• Impact the quality of own work and the work of others on the team; work withinguidelines and policies
• Lead by exampleand model behaviorsthat are consistent with CBRE RISE values. Will need ability to influence to reachan agreement
• Work primarily within standardized procedures and practicesto achieve objectives and meetdeadlines Explain complex information toothers in straightforward situations
• Ability todocument 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 adegree. Master's degree preferred
• Understanding of existingprocedures and standards to solve complex problems
• Ability to understand possible solutions using technical experience to apply appropriatejudgment and precedents
• In-depth knowledge of MicrosoftOffice 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 programminglanguages specifically: SQL and Python
• Some data engineering skills preferred including PySparkfor Microsoft Fabric and Databricks
• Ability to work collaboratively in a team environment and communicate effective with stakeholders
• Strong problem-solving skillsand attention to detail; leveragingAI tools such as Claude, ChatGPT, and Co-Pilot.
• Ability to manage multiple projects and meet deadlines in a fast-pacedenvironment
• Knowledge of CMMS systems is preferred

Equal Employment Opportunity: CBRE is an equal opportunity employer that values diversity. We have a long-standing commitment to providing equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, pregnancy, age, citizenship, marital status, disability, veteran status, political belief, or any other basis protected by applicable law.

Candidate Accommodations: CBRE values the differences of all current and prospective employees and recognizes how every employee contributes to our company’s success. CBRE provides reasonable accommodations in job application procedures for individuals with disabilities. If you require assistance due to a disability in the application or recruitment process, please submit a request via email at [e-mail] or via telephone at [phone] (U.S.) and [phone] (Canada).