Cushman & Wakefield is looking to solve the problem of providing high-quality data analysis and technical support to their clients, while also ensuring the accuracy and completeness of collected data.
Requirements
- Proficiency in data analysis tools like Excel, SQL, Python
- Familiarity with data visualization tools like Tableau or Power BI
- 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 experience
- 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
- Understanding of basic statistical methods and techniques to analyze data trends and patterns
Responsibilities
- Provides Account Teams/clients with Data QA/QC
- Supports Account Teams/Clients with Remote/off-site technical support for app usage and data structure
- Supports the creation of Multi-Year Capital forecasts
- Supports the performance of asset data analytics projects, including retrospective alignment of client data
- Enables the upload of data to the client's CMMS by partnering with the account team and Technology Delivery teams
- Problem solves issues with technology solutions
- Provides training on the use of the Technical systems and associated tools
Other
- 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
- Bachelor’s degree in Statistics, Computer Science, Data Science, or similar
