Deloitte & Touche LLP seeks an Advisory Senior Consultant in Jersey City, NJ.
Work You’ll Do
Utilize technologically advanced computer labs and cutting-edge software to offer new, innovative solutions to clients' complex legal problems. Query and mine large data sets to discover transaction patterns, examine financial data and filter for targeted information using traditional (SQL Server 2012, Oracle 11.2, Microsoft Access) as well as advanced visual tools (Tableau, QlikView), predictive analytic methodologies (SAS, neural networks, machine learning), and software packages. Design and develop user defined application modules, perform data quality control, develop database reports and user interfaces, and normalize relational data. Perform detailed data analysis to develop meaningful insights that address regulatory and business challenges across industries. Collaborate with attorneys, forensic accountants, clients, and other investigators to produce analyses in support of an investigation. Prepare and present complex written and verbal materials, such as reports, findings, and presentations.
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Requirements
- Bachelor’s (or higher) degree in Information Systems, Analytics, Mathematics, Finance, Computer Science, Electrical Engineering, or related field (willing to accept foreign education equivalent).
- Eighteen months of experience analyzing complex data relationships within large data sets and between systems where large data reside.
- Experience must include eighteen months of:
- Performing statistical data analysis;
- Utilizing SQL server, Oracle, Access, and Excel to extract data, and design data driven reports and leveraging Python, SQL and R to examine and analyze large volumes of numeric and textual data;
- Developing customized systems to enable clients to access and analyze complex data utilizing SQL server, Oracle, Access, and Excel;
- Utilizing data visualization tools, including Tableau and QlikView, to deliver visualized data findings and report assessments to client;
- Validating front end data interface and developing user specifications to ensure accuracy of data analysis results;
- Building programming scripts and visualizations to automate manual processes;
- Building machine learning and deep learning models through the development lifecycle, including design, evaluation, validation, implementation, and training;
- Leveraging statistical methodologies, including Robust Measure of Scale and Median Absolute Deviation, to identify outliers;
- Collaborating with cross-functional teams of data scientists, analytics leaders, and business managers to deliver solutions and products; and
- Researching methodologies and exploring datasets in the context of business problems.
Salary: $76,960.00 - $126,000.00/year;