Data Analyst, Customer Success

ABOUT GREYSTAR

Greystar is a leading, fully integrated global real estate company offering expertise in property management, investment management, development, and construction services in institutional-quality rental housing, logistics, and life sciences sectors. Headquartered in Charleston, South Carolina, Greystar manages and operates more than $315 billion of real estate in 250 markets globally with offices throughout North America, Europe, South America, and the Asia-Pacific region. Greystar is the largest operator of apartments in the United States, manages more than 1,000,000 units/beds globally, and has a robust institutional investment management platform comprised of more than $78 billion of assets under management, including over $36 billion of development assets. Greystar was founded by Bob Faith in 1993 to become a provider of world-class service in the rental residential real estate business. To learn more, visit www.greystar.com.

JOB DESCRIPTION SUMMARY

Design, build, and deploy data models from internal and external data sets to find opportunities and optimize business processes. Works closely with Line of Business Owners, Business Analysts, Data Stewards, Data Architects, and Developers to create insights gained from analyzing company data and test the effectiveness of difference courses of action. Demonstrates business results realized from the delivered data insights. Obtains new requirements from stakeholders and functional teams, and coordinates efforts with the developers, and business analysts. Recommends new sources of data both internal and external. The right candidate will have a passion for discovering solutions hidden in data sets and working with stakeholders to improve business outcomes. Ensures compliance with Greystar’s policies & procedures, safety, state and federal laws, regulations, and standards.

JOB DESCRIPTION

KEY RESPONSIBILITIES:

• Lead strategic analysis and collaboration efforts related to strategic planning, selection, and implementation of strategy and solutions, including needs required to perform data mining, modeling, and analysis.
• Work independently and collaboratively, excessing verbal and written communication skills, ability to organize/prioritize tasks and meet strict deadlines.
• Work as a hands-on member of the team to mine and analyze data from internal and external sources.
• Provide strategic leadership in the identification of new sources of data. Assess the effectiveness and accuracy of data sources and data gathering techniques.
• Help establish knowledge management as a core practice within IT, including both the repository of knowledge, as well as the practice of managing knowledge.
• Other projects, as assigned.

BASIC KNOWLEDGE & QUALIFICATIONS:

• Strong understanding of statistical, data mining and modeling, and analysis techniques that mine and manipulate data to draw insights from data sets.
• Proficiency in writing complex Transact-SQL (T-SQL) queries and managing relational databases (e.g., Microsoft SQL Server).
• Experience in optimizing queries for performance (e.g., indexing, query execution plans).
• Understanding of database normalization, denormalization, and dimensional modeling (e.g., star schema, snowflake schema).
• Understanding of data privacy regulations such as GDPR, HIPAA, CCPA, and other relevant frameworks that govern PII (Personally Identifiable Information).
• Ability to comprehend and analyze operational system questions and issues and determine best steps in rendering solutions.
• Demonstrated proficiency in Microsoft 365 Products, with strong emphasis in spreadsheet and database management programs to develop and/or complete required reports.
• Academic background in a quantitative or related field (e.g., Analytics, Applied Mathematics, Economics, Statistics).

SPECIALIZED SKILLS:

• Experience in the real estate development, management or construction business is preferred
• Experience understanding, processing, analyzing, visualizing, and communicating complex data sets to technical and non-technical audiences, tailoring your message to show business value and impact by understanding the goal and your audience
• Experience with visualization tools, such as Power BI, Tab