In this role, the selected candidate will analyze and digitize work effort data to develop standard times for claims handling processes;
lead work measurement study analyst you will design and plan work measurement studies.
In this role, you will provide the data support for enterprise data integration tasks, including acquisition, ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications.
The DIA will have responsibilities spanning a broad range of client-facing functions outside the scope of traditional technical support, including implementation, project management, and product training.
The Analytics Research and Development team within the clients Global Data, Insight and Analytics (GDIA) organization is looking for a highly skilled quantitative analyst / data scientist to assist in all levels of model development, evaluation, and deployment.
In this role, the selected candidate will support for the design, development, implementation, and maintenance of dashboards, metrics, and products to support command analysis and decision-making requirements using internal and external sources of data.
In this role, the selected candidate will lead and coordinate statistical analysis efforts focused on improving field safety performance; work with and guide cross-functional teams focused on analytical issues related to vehicle behavior and occupant injuries.
In this role, the selected candidate will respond to analysis requests with accurate results in a timely manner, utilizing standard approaches to pull information and summarize with appropriate statistical methods.
In this role, youll be responsible for building marketing campaign analysis frameworks we use to make decisions where you will analyze and interpret analytic output and provide strategic recommendations.
As a member of the Enterprise Monitoring Team, youll implement capabilities defined in our monitoring strategy while developing predictive systems, creating efficient algorithms and building data models.
In this role, the selected candidate will be responsible for providing the data support for enterprise data integration tasks, including ingestion, standardization, enrichment, mastering and assembly of data products for downstream applications.
In this role, the selected candidate will be responsible for the evaluation of data accuracy, completeness, timeliness and stability and establishing repeatable, sustainable processes to maintain data including the understanding of all preprocesses prior to ingestion into Hadoop.
The Business Systems Analyst will work closely with the Development Community to assist and support the comprehensive fund-raising programs of the University of Michigan. They will assist in the creation, maintenance and dissemination of ad hoc reports for the Development community.