Deloitte Consulting LLP seeks a Consultant in San Jose, CA and various unanticipated Deloitte office locations and client sites nationally.
Work You ll Do
Providing human capital consulting services to clients on behalf of a global consulting company. Finalize data preparation process and quality control. Provide data visualizations and own dimensions of visualization methods for projects. Conduct multi-dimension data analysis, build, review and test statistical models, as well as thorough data mining. Organize client meetings, lead work stream level reporting and communication with clients on step-by-step collaborations. Deliver client workshop contents and present to internal team and clients on deliverables. Make client ready slides for internal and client deliverables to meet objectives of project requirements. Conduct meeting with team to make sure robust progress, timely identify and report up on issues and provide resolutions and recommendations. Analyze project requirements and using them to build dashboards in data visualization tools such as Tableau. Present deliverables to internal and client project stakeholders. Utilize statistical tools, including SAS, R and SQL, in both Windows and Unix environments to build models and data mining activities for the analysis of large data sets. Conduct multi-dimensional analysis to validate statistical models. Conduct ad hoc exploratory analysis to investigate and provide resolution to stakeholder inquiries. Write SQL scripts to collect and report on work stream level data. Organize and lead client workshops for rolling out knowledge transformation related to project objectives. Identify project issues and other bottlenecks and presenting alongside proposed solutions to project leadership.
Bachelor s degree or equivalent in Statistics, Actuarial Science, Mathematics or a related field.
One year of experience in the position above, as a Business Technology Analyst, or related occupation.
Must have one year of experience with:
Analyzing project requirements and using them to build dashboards in data visualization tools such as Tableau;
Presenting deliverables to internal and client project stakeholders;
Utilizing statistical tools, including SAS, R and SQL, in both Windows and Unix environments to build models and data mining activities for the analysis of large data sets;
Conducting multi-dimensional analysis to validate statistical models;
Conducting ad hoc exploratory analysis to investigate and provide resolution to stakeholder inquiries;
Writing SQL scripts to collect and report on work stream level data;
Organizing and leading client workshops for rolling out knowledge transformation related to project objectives;
Identifying project issues and other bottlenecks and presenting alongside proposed solutions to project leadership.
80% travel required.
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