The data analyst is responsible for supporting the QuantumWork Advisory in implementation projects, gathering incumbent data, analyzing gaps, verifying information, and handling administrative tasks. This role will be responsible for discovering gaps in data to prepare the information for steady state. The analyst would work on implementations to assist a workflow to prepare data including but not limited to organizational development data and company data.
The analyst would also upload accurate records of data into the VMS tools. A good understanding of logical data and analysis is required in order to analyze large enterprise datasets and understand how that data interacts with VMS technologies. The data analyst will also be required to help oversee junior staff’s project assignments to assist with resolving project issues and quality control.
Job Responsibilities
As a workplace, we focus on relationships – with each other, our clients and our candidates - in fact serving others is one of our core values. We support open communication and recognize that giving constructive criticism can be even harder than receiving it. We appreciate the fearless and the passionate, who force us to be better. Everything we do sits on a pillar of diversity - diverse perspectives, backgrounds and ideas drive innovation and make us successful.
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Allegis Global Solutions is founded on a culture that is passionate about transforming the way the world acquires talent by delivering client-focused solutions that make a difference for businesses worldwide. From refining how you manage your contingent workforce to strengthening your employer brand to recruit top talent, our integrated talent solutions drive the business results you need. As an industry leader, we draw upon decades of experience to design innovative tools, products and processes. We develop competitive practices that position organizations for growth and we deliver the insight needed to succeed in today’s global marketplace.
Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.
Data Analyst Q&A's