Analytics Analyst - Plano, United States - Coda Search│Staffing

Coda Search│Staffing Plano, United States

3 weeks ago

Real Estate

Description

Our client is one of the largest and leading real estate developers and operators in the United States. This role is a critical position and offers the opportunity to impact key investment decisions within a dynamic and growth-focused real estate environment.

The Analytics Analyst is tasked with integrating technology and financial analysis to facilitate data-driven insights and spearhead continuous enhancements in the investment decision-making process. This role demands adeptness in using various software and database applications to build analytical models, dashboards, and other tools that improve investment and reporting processes.

Responsibilities include:

Develop and eventually lead initiatives to create research and analytical tools, providing strategic recommendations on potential investments.
Identify opportunities for process enhancements and implement projects to refine analytical methods used in the investment process, FP&A, and reporting needs.
Utilize existing data, technology, and resources to enhance the investment process and decision-making capabilities.
Promote and lead technology and systems-based improvements across the organization, working closely with IT and other key stakeholders.
Analyze economic, industry, and corporate data to offer insights on market trends and other factors influencing investment decisions.
Develop tailored analytical models and reports for ad-hoc situations, ensuring consistency, replicability, and delegation readiness.
Engage and partner with leadership across all corporate functions to drive data-driven strategies.

Requirements:

Bachelor's degree in Mathematics, Economics, Computer Science, Information Management, or Statistics preferred.
Strong proficiency in SQL, Power BI, or Tableau; knowledge of Python is a plus.
Technical expertise in data models, database design, development, data mining, and segmentation techniques.
Solid understanding of statistics with experience in statistical packages (Excel, SPSS, SAS, etc.).

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