What are the responsibilities and job description for the XB24C43481 position at Deloitte US?
Deloitte Consulting LLP seeks a Consulting, Solution Specialist in Lake Mary, Florida and various unanticipated Deloitte office locations and client sites nationally.
Work You’ll Do
Provide advisory and implementation services of large-scale data ecosystems, including data management, governance and the integration of structured and unstructured data to help companies unlock the value of big technology investments. Work across all phases of the Agile and Waterfall lifecycle for the design, development, testing and implementation of Master Data Management, Data Governance, Data Analytics and Data Integration solutions for enterprise-level clients. Provide technical recommendations for optimized data access and retention from various data warehouses. Implement data integration solutions using dimensional modeling, granularity and source-to-target mapping to integrate new BI/DW requirements. Perform data management, including master data, metadata, data architecture, data governance, data quality, data modeling, etc. Design database queries, triggers, procedures, functions and packages for reporting and data analytics. Design and develop data cleansing routines utilizing typical data quality functions, including standardization, transformation, rationalization, linking and matching. Implement data enrichment, lookup, filtering and data cleansing routines and solutions to improve data quality of the ingested data.
- 15% Travel required nationally.
- Telecommuting permitted.
- Work location includes various unanticipated Deloitte office locations and client sites nationally.
Requirements
Bachelor’s degree or foreign equivalent in Business Administration, any STEM field, or a related field. Must have 1 year of related work experience in the job offered or in a related occupation. Position requires 1 year of related work experience in each of the following:
- Participating in various aspects of the full data delivery lifecycle for implementations, including requirements gathering, code deployments, triage of defects and change requests using Python and GitHub;
- Developing business solutions leveraging emerging automation, cognitive, and machine learning tools, including TensorFlow, Keras, PyTorch, and scikitlearn;
- Helping to provide industry insight and analytical support using data mining, pattern matching, data visualization, and predictive modeling, using scikit-learn;
- Designing and implementing reporting and visualization for unstructured and structured data sets utilizing Matplotlib;
- Performing data analysis, including inspecting, cleansing, transforming and modeling for enabling data mining and resolving data mapping and data modeling issues using Pandas, and NumPy; and,
- Building reports and data models in Python based on performance measurement metrics, allowing for business and technical users to provide insights into the organization’s data.
Other
Hours: M-F, 40 hours/week;
If offered employment, must have legal right to work in U.S. EOE, including disability/veterans.
