Data Analytics Assistant Manager
Job ID
Service line
GWS Segment
Role type
Areas of Interest
Consulting, Digital & Technology/Information Technology
Makati City - National Capital Region - Philippines

This position is intended to provide consistent support for specific client/account needs in the areas of management information through on time-delivery of reports, projects and continuous improvements resulting to optimum service delivery to the account.

You will be a key member of the expert's team dedicated to the specific service line, responsible for the delivery of research, reporting and analytics solutions for the largest in the world corporations or internal clients using best in class BI tools based on modern data platform. 

This position gives you opportunity to gain analytics and reporting competences, implement process excellence and innovations for the leader in real estate services cooperating with the group of experts and talents around the globe
You will support business intelligence projects focused on real estate data analyses. Through data warehousing, visualization, and examination, this position helps our clients optimize their operations across all service lines: facilities management, project management, finance, portfolio administration, cost forecasting, etc.

PRIMARY Responsibilities:
  1. Developing data modelling, data manipulation, aggregation and analysis of quantitative data; forecast and trending of performance data to derive actionable intelligence using programming languages and data visualization tools
  2. To participate in the whole cycle of dashboard and analytics development from understanding Clients' needs through data sourcing, development of dashboards and analytics in Business Intelligence software to hyper care and on-going support after the delivery
  3. Support both technical and project manager leads for business intelligence and analytics projects for a variety of internal and external clients
  4. To contribute to the implementation of agile methodology of analytics and reporting development
  5. Assuring data integrity and effective reports validation
  6. To communicate with various stakeholders, such as: Clients, other analysts, platform developers, project managers, etc.
  7. To propose initiatives for improvements, advanced analytics, data visualization and analytics

  1. Perform data extraction, cleaning, transformation, and flow. Web scraping may be also a part of the work scope in data extraction. (SQL, Excel, Tableau Prep)
  2. Design, build, launch and maintain efficient and reliable large-scale batch and real-time data pipelines with data processing frameworks by Dataiku or Tableau Prep
  3. Integrating external or new datasets into existing data pipelines.
  4. Analyse problems and engineer highly flexible solutions. Support and advise best practices in data management standards, policies, and procedures.
  5. Collaborate with Project Manager, Data Analyst, and Developers to identify data relevant for analysis, develop the Data solution, and build scalable data-driven products. 
  6. Coordinate effectively with customer and with business partners.
  7. Work in an Agile Environment that practices Continuous Integration and Delivery (Jira & Confluence)
  • Advanced SQL knowledge is required for this position
  • Knowledge of Excel & Tableau is required
  • Good logical and analytical thinking
  • Adaptable, meticulous, innovative, independent, and self-motivated, with good problem-solving skills
  • Willing to report onsite depending on business needs (hybrid arrangement)
CBRE Global Workplace Solutions (GWS) works with clients to make real estate a meaningful contributor to organizational productivity and performance. Our account management model is at the heart of our client-centric approach to delivering integrated real estate solutions. Each client is entrusted with a dedicated leader and is supported by regional and global resources, leveraging the industry's most robust platform. CBRE GWS delivers consistent, measurably superior outcomes for our clients at every stage of the lifecycle, and across industries and geographies.