Logo
Cushman Wakefield Multifamily

Cushman Wakefield Multifamily is hiring: Data Analyst in New York

Cushman Wakefield Multifamily, New York, NY, United States, 10261

Save Job

Job Title

Data Analyst

Job Description Summary

1. Primary Responsibilities: Client Delivery/Data Operations (Supporting technical data workflows, client-facing analytics, and system integration)
2. Secondary Responsibilities: Engineering/Technical Enablement

Job Description

Primary Responsibilities:

  • Provides Account Teams/clients with Data QA/QC
    • Ensures adherence to data standards
    • Works to monitor collection activities to ensure accuracy and completeness in collected data
    • Ensures field-collected data is appropriately linked to existing client asset data in real-time
  • Supports Account Teams/Clients with Remote/off-site technical support for app usage and data structure
    • Problem solves issues with technology solutions
    • Provides training on the use of the Technical systems and associated tools
  • Supports the creation of Multi-Year Capital forecasts
    • Supports the creation of static data files and PDF reports for capital forecasting
    • Supports data conformation to enable accurate analytics
  • Supports the performance of asset data analytics projects, including:
    • Retrospective alignment of client data
    • Alignment of field-collected data with client data architecture
      • Transformation of data to the client's native data architecture
    • Enables the upload of data to the client's CMMS by partnering with the account team and Technology Delivery teams to support the ingestion of collected data

Who We Are Looking For:

  • Attention to Detail: Precision in handling data and ensuring accuracy in analysis and reporting.
  • Problem-Solving: Ability to identify issues and develop solutions based on data insights.
  • Communication: Strong written and verbal communication skills to present findings and collaborate with team members.
  • Project Management: Able to handle multiple tasks and projects efficiently while delivering on time.

Competencies/Requirements:

  • Bachelorâs degree in Statistics, Computer Science, Data Science, or similar
    • Relevant certifications a plus, or can be considered in lieu of a degree with sufficient job experience
  • 1-3 years of experience in Data and Analytics
    • A plus if they are familiar with, or have project experience with any of the following:
      • CMMS or FM Asset data
      • Financial Dataâ”Specifically, IFM/Construction data
      • Workforce analysis
      • Geoanalysis and route optimization
  • Data Analysis: Proficiency in data analysis tools like Excel, SQL, Python.
  • Familiarity with data visualization tools like Tableau or Power BI
  • Database Management: Experience with database design, development, and management. Knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., MongoDB).
  • API Integration and Management
    • API Integration: Experience in integrating various APIs into applications to enhance functionality and data exchange.
    • API Management: Ability to manage and maintain API connections, ensuring seamless data flow and system interoperability.
    • Technical Proficiency: Using tools and languages commonly associated with API work, such as RESTful APIs, JSON, XML, and programming languages like Python, JavaScript, Ruby, or Java.
    • Troubleshooting: Skills in diagnosing and resolving API connectivity and performance issues.
    • Documentation: Ability to read and understand API documentation and can create clear documentation for API usage within the company.
  • Quality Assurance: Skills in data quality assurance, including data cleaning, validation, and verification processes.
  • Statistical Analysis: Understanding of basic statistical methods and techniques to analyze data trends and patterns.
    • E.C for any of the below:
    • Inferential Statistics
      • Regression Analysis
      • Hypothesis Testing
      • Confidence Intervals
    • Multivariate Analysis
      • ANOVA
      • PCA (Principal Component Analysis)
      • Cluster Analysis
    • Time Series Analysis
      • Moving averages
      • ARIMA
Cushman & Wakefield also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health, vision, and dental insurance, flexible spending accounts, health savings accounts, retirement savings plans, life, and disability insurance programs, and paid and unpaid time away from work. In addition to a comprehensive benefits package, Cushman and Wakefield provide eligible employees with competitive pay, which may vary depending on eligibility factors such as geographic location, date of hire, total hours worked, job type, business line, and applicability of collective bargaining agreements. The compensation that will be offered to the successful candidate will depend on factors such as whether the position is covered by a collective bargaining agreement, the geographic area in which the work will be performed, market pay rates in that area, and the candidateâs experience and qualifications. The company will not pay less than minimum wage for this role. The compensation for the position is: $91,035.00 - $107,100.00 Cushman & Wakefield is an Equal Opportunity employer to all protected groups, including protected veterans and individuals with disabilities. Discrimination of any type will not be tolerated.

In compliance with the Americans with Disabilities Act Amendments Act (ADAAA), if you have a disability and would like to request an accommodation in order to apply for a position at Cushman & Wakefield, please call the ADA line at 1-888-365-5406 or emailÂ. Please refer to the job title and job location when you contact us.

INCO: âœCushman & Wakefieldâ
#J-18808-Ljbffr