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The Asset Management Data Analyst (Associate Level) will join our Asset Management team, which is responsible for enhancing asset value by maximizing property cashflows and investment returns. This team works closely with Capital Maintenance, Operations, Redevelopment, and Revenue Management to help drive capital deployment and identify inefficiencies. This role will focus on financial reporting, data analysis, and strategic initiatives, and will be key to the ongoing success of the team. The Asset Management team is technology-oriented, and the Associate, Data Strategy will help to drive continued focus and expand the capabilities of the team. Please note that the internal title for this role is Associate, Asset Strategy and Analytics.
WHAT YOU WILL DO:
Data Analysis and Visualization
- Gather data to analyze, identify trends, patterns, and anomalies, and interpret the findings.
- Create visualizations reflecting various KPIs and financial performance.
Financial Modeling and Reporting
- Support the Asset Management team by providing property and portfolio level reporting and dashboards for strategic decision-making.
- Assist in establishing financial targets, collaborating with stakeholders cross-departmentally, and compiling comprehensive budgets and forecasts.
Data Model Management
- Develop and maintain Power BI models by utilizing Power Query and DAX to transform raw data into a usable format, ensuring data accuracy, consistency, and performance within the data model.
- Create, standardize, and maintain documentation for data models, reports, and dashboards, including instructions, sources, definitions, and controls.
WHAT YOU WILL NEED:
- Bachelor’s degree from four-year college or university in real estate, finance, accounting, economics, statistics, and/or data analytics required.
- Minimum of 6 years of experience in real estate, data analytics/business intelligence, investment management, or financial planning & analysis is required. Experience in multifamily real estate is preferred.
- Strong financial literacy with the ability to interpret and analyze income statements, balance sheets, and other financial documents.
- Proficiency with Microsoft Office applications. Expertise in using spreadsheet programs, including Microsoft Excel, and presentation programs, including PowerPoint, required.
- Advanced Excel modeling skills, including financial projections and scenario analysis. Proficient in creating and analyzing complex data sets, formulas, and PivotTables for data reporting and insights.
- Experience with Power BI, Power Query, DAX, data modeling, and understanding relational dataflows and databases.
- Experience with capital expenditure (CapEx) systems, such as Yardi Voyager, preferred.
- Excellent communication and interpersonal skills, with the ability to effectively communicate complex data concepts to both technical and non-technical audiences.
WHAT THE JOB REQUIRES:
- Operates in a fast-paced work setting. Requires the ability to multitask and adapt quickly to changing priorities. May involve tight deadlines and high-energy work situations.
- Work is primarily conducted in an office setting. Requires sitting at a desk or workstation for extended periods. Involves the use of standard office equipment such as computers, phones, and printers.
- Requires the ability to work Monday through Friday. The position includes in-person work requirements consistent with the hybrid policy located at Essex’s corporate office in Irvine. The hybrid policy is subject to change at Essex’s sole discretion.
- Requires the ability to sit or stand for extended periods. Minimal physical effort in the day-to-day tasks.
WHAT YOU WILL BRING TO THE TABLE:
- Excellent written and verbal communication skills. Strong organizational and analytical skills. Ability to provide efficient, timely, reliable and courteous service to customers. Ability to effectively present information.
- Ability to comprehend, analyze, and interpret documents. Ability to solve problems involving several options in situations. Requires intermediate analytical and quantitative skills.
- Decisions made with thorough knowledge of procedures and company policies to achieve set results and deadlines. Responsible for setting own project deadlines.
