The Howard Hughes name is synonymous with an unrelenting passion for excellence. While his achievements in aviation and the silver screen are legendary, it was his investments in real estate that form the foundation of our company. With passion, determination and limitless imagination, he built one of the great American empires of the 20th century. At Howard Hughes, we live by our purpose to help people discover new ways of experiencing life - because its not just buildings and places that matter, its what you do with them that can change the way people live.
We aspire to be the most creatively driven real estate company in the world and we believe in fostering a culture that is built to last by cultivating curiosity and empowering every employee to find their story in this great organization.
As a Data Analyst your primary responsibility will be to develop and maintaining enterprise data solutions that enhance the ability of our teams to have information at their fingertips. You will use your technical expertise to ensure the quality and accuracy of data, then process, design, and present it in ways to help our organization make better decisions.
ESSENTIAL JOB RESPONSIBILITIES:
Design, develop and maintain databases and data systems, including troubleshooting potential issues.
Identify, analyze, and interpret trends or patterns in complex data sets.
Analyzes problems and determine root causes.
Work closely with business units and engineering teams to develop strategy for long term data platform architecture.
Create and maintain technical documentation, technical design documents, target to source mapping documents.
Work with management to prioritize business and information needs.
Collaborate frequently with business users, analysts and data engineers to solve their problems and build new features.
Coordinate gathering of business requirements for additional integration of systems and datasets into enterprise data warehouse.
KNOWLEDGE, EXPERIENCE AND SKILLS:
Bachelors degree in business administration, economics, computer science, management information systems, or related field or equivalent related experience.
Five+ years of experience working as a data analyst or equivalent role, including proficiency with data, integrations and databases.
Excellent understanding of SQL and proven experience developing high quality database solutions.
Strong understanding of relational and warehousing database technology, working with at least one of the major databases platforms (Snowflake, Oracle, SQL Server, Teradata, MySQL, Postgres).
Hands-on RDBMS experience (data modeling, analysis, programming, stored procedures).
Understanding of standard software engineering practices (e.g. version control, Git, code review, unit testing), and a willingness to learn these in practice.
Understanding of data modeling and data architecture.
DevOps / CICD experience preferred.
Data Build Tool (dbt) experience preferred.
Demonstrated ability to effectively manage multiple work assignments and renegotiating priorities to meet current business environment needs.
Intellectual curiosity and an ability to execute projects.
A team player who has the ability to multi-task and is self-directed.
Strong analytical skills with high attention to detail.
Critical thinker and problem-solving skills.
Must be deadline focused, organized and exhibit problem-solving skills.
Excellent interpersonal skills, work with little supervision and attention to detail.
Ability to work in a fast-paced, rapidly changing environment; must be able to effectively manage both ambiguity and aggressive timelines for projects.