Audit Data Analytics - Senior Manager
职位 ID
12563
已发布
24-04-2021
服务线
Advisory Segment
职位类型
全职
地点
Dallas - Texas - United States of America

Data Analytics, Sr. Manager

CBRE is seeking a Data Analytics Sr. Manager to join a growing team in Richardson, TX. With a fun work culture and excellent growth opportunities, this position will give you a unique opportunity to help develop and implement a world class Data Analytics strategy!

We are looking for a proven Data Analytics Sr. Manager to successfully support the Global Finance Risk & Assurance team. You and your team will work directly with Internal Audit, SOX, Risk Assurance and its business partners. You will be responsible for building analytics, dashboards and other resources to identify risk through key insights and metrics. Leveraging Agile practices and technology, you’ll work directly with senior/executive management to develop a backlog of activities and provide meaningful outcomes that drive insights and value-added actions.

Responsibilities:  

  •  
  • Demonstrable experience leading multiple projects with varying degrees of complexity.
  • Successfully manage a team of offshore data analytics professionals (effectively communicate expectations, team balance and commitment to professional growth).
  • Develop and execute roadmaps for data architecture, robotic process automation, reporting and analytics capabilities and integration capabilities to support the needs of the department.
  • Work within cross-functional teams to understand our business partners challenges and business drivers, support requirements analysis, create roadmaps to address these opportunities and rapidly architect/test /deliver solutions that deliver measurable/meaningful outcomes that drive real value.
  • Collaborate and mature relationships with business leaders and stakeholders across all functions and business lines to proactively build and maintain a backlog of activities.
  • Responsible for the on-going identification of information and analytic needs to deliver and expand capabilities across business intelligence, forecasting and predication.
  • Develop strategies (e.g., data analytics, business intelligence, etc.) and roadmaps through collaboration with Finance Risk & Assurance leadership to identify opportunities to enhance the department’s backlog of initiatives and deliver value-added outcomes to business partners.
  • Transition existing Tableau dashboards to the company standard platform and enhance them as needed to mature the value they deliver. 

Qualifications:  

  • Bachelor’s degree (Master’s preferred) in Data Science, Mathematics, Statistics, Computer Science, Computer Engineering, Analytics, Information Systems, Economics, Management or another quantitative discipline field or equivalent of work experience.
  • Proven ability to build and mature professional relationships across a large, multi­faceted organization and with all levels of the organization.
  • 5+ years of direct multi-disciplinary supervisory experience with a preference toward managing offshore resources.
  • 5+ years of experience with a data engineering concepts including relational databases dimensional databases, data warehouses, analytics/data science/ business intelligence tools, integration tools and related programming languages (Python, R, SQL, no-SQL, etc.).
  • Hands-on experience developing and driving programs or projects with aggressive schedules.
  • Experience with front end BI tools (MS Power BI, SAP BI, Tableau).
  • Practical experience working with agile methodologies in a software engineering capacity.
  • Highly analytical, collaborative, self-motivated, technical, process-oriented, with strong communication, negotiation and influencing skills in cross-functional matrixed setting.
  • Passionate, high-energy, “can-do-attitude”, enthusiastic, optimistic, open and objective toward others.
  • Experience working with Audit/Compliance teams to identify risk and automate testing.
  • Intellectually curious with an ability to promote openness of discourse and ask the right questions.
  • Experience designing and deploying bots for routine activities