Quantum Work Advisory, a dynamic and innovative subsidiary of Allegis Group, specializes in workforce technology and workforce transformation advisory services. Supported by Allegis Group's 40-year legacy and $15 billion in revenues, we are committed to transforming workforce strategies and enhancing organizational performance. Learn more at quantumwork.com.
OUR COMMITMENT
We are dedicated to helping organizations design and execute workforce transformation. By leveraging the power of design thinking, AI, and automation, we create seamless, enjoyable digital experiences that make technology work for you – not the other way around. Our innovative, people-first design methodology ensures that we deliver transformational services tailored to meet your unique workforce needs.
OUR APPROACH | DESIGN THINKING
Our experienced consultants utilize journey mapping and “how might we?” frameworks to scientifically validate our strategic choices. By fostering user empathy, we enhance workforce collaboration and the execution of your digital transformation strategy.
The Sr. Data Analyst is responsible for supporting the QuantumWork Advisory in implementation projects, defining data strategies and governance framework. Lead complex data migration and transformation efforts and ensure high quality , scalable and sustainable data solutions. The role is also responsible for gathering incumbent data, analyzing gaps, verifying information, and handling administrative tasks. As a project role this person will need to work independently, and face to our clients’ senior stakeholders on matters of data conversion & management on projects. This role will be responsible for discovering gaps in data to prepare the information for steady state. This Analyst would work on implementations to assist a workflow to prepare data including but not limited to organizational development data and company data. This Role would also upload accurate records of data into the VMS tools. A good understanding of logical data and analysis is required to analyze large enterprise datasets and understand how that data interacts with VMS technologies. This person will also be responsible for some limited people management responsibilities: Training, mentoring, and performance management with some direct reports. The Sr. Data Analyst will also be required to help oversee junior staff’s project assignments to assist with resolving project issues and quality control.
POSITION OVERVIEW