Senior Manager, Data Analytics & Insights
Role details
Job location
Tech stack
Job description
Do you enjoy working with data and uncovering insights that lead to actions? The Senior Manager, Data Analytics and Insights role is instrumental in harnessing the power of data to provide valuable insight into associate behaviors regarding the use of workspace and amenities. These insights are developed using sophisticated data analytics and timely reporting, underpinned by accurate data. The objective of your work is to partner across the organization in developing the tools and supporting data infrastructure to meet reporting and analytics capability demands.
You will partner across the Real Estate organization to deliver insights into business performance and to develop predictive analytics that inform strategic decision-making. You will collaborate with business leaders, technology partners, and data teams to advance our analytics strategy. This includes contributing to data governance routines and ensuring the availability of trusted, timely data that enhances consistency, execution, and decision quality across the enterprise.
Requirements
Do you have experience in Tooling?, Do you have a Bachelor's degree?, * 5 years of experience in Data Analytics, Finance, or similar analytical roles
- Bachelor's degree required; Master's degree preferred
- Demonstrated experience in data analytics, data visualization, and data preparation using tools such as Tableau, Power BI, Alteryx
- Experience with Snowflake and Alation strongly preferred
- Working knowledge of SQL and core database concepts
- Strong project management skills with experience coordinating multiple workstreams and stakeholders
- Experience presenting insights to peers, managers, and executives
- Interest in or exposure to AI, predictive analytics, and machine learning concepts
- A passion for working with large and diverse data sets
- Ability to translate data into concise, tailored insights that drive clear actions
- Curiosity and comfort experimenting with new tools and approaches
- A continuous improvement mindset, always seeking more effective ways to leverage data
- A commitment to building solutions that balance quality, scalability, and speed
- A pragmatic approach - knowing when to prioritize pace over perfection and when precision matters