Deloitte Consulting LLP seeks a Consulting, Specialist Senior in Tampa, Florida and various unanticipated Deloitte office locations and client sites nationally.

Work You’ll Do
Modernize business and core environments to leverage technology innovations across multiple platforms; drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise for continuous insights and improvements. Drive various aspects of the full data delivery lifecycle for implementations, which may include requirements gathering, business process analysis, scripting, code deployments, enhancement validation, triage of defects and change requests, escalations and urgent issues. Create architecturally significant non-functional requirements to design reusable data ingestion and data management components. Establish data ingestion patterns and design data integration interfaces with internal and external data sources. Drive advisory and implementation services of large-scale data ecosystems, including data management, governance and the integration of structured and unstructured data, to generate insights leveraging various platforms to help companies unlock the value of big technology investments. Provide technical recommendations for optimized data access and retention from various data warehouses. Create technical and functional specifications, including screen layouts, navigation flows, logic diagrams, data models, and process models. Design and implement solutions to extract and reconcile data scattered across multiple sources.
• 50% 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 2 years of related work experience in the job offered or in a related occupation.
Position requires 2 years of related work experience in each of the following:
• Utilizing Machine Learning (ML), Natural Language Processing (NLP), Big Data, and inferential statistical techniques to generate insights leveraging Cloud-based, web-based, and on-premise data;
• Providing industry insight and analytical models using data mining, pattern matching, data visualization, and predictive and prescriptive analytical modeling techniques and tools, including ML, NLP, Python, R, Power BI, and Azure, and consolidating the implications to present recommendations to senior management and executives;
• Performing data analysis, including inspecting, cleansing, transforming, and modeling for enabling data mining and resolving data mapping and data modeling issues, using Azure, SQL, Python, R, Presto, and Spark;
• Developing, testing, and automating Extract, Transform, Load (ETL) procedures, using SQL, Python, Presto, UiPath, Azure, Apache Airflow, Spark, and Hive to perform data warehousing and big data integration functions;
• Utilizing SQL, Python, UiPath, Java, Spark, Workfusion, Azure, and Amazon Web Services (AWS) to coordinate and drive aspects of the full data delivery lifecycle for implementations and requirements gathering, and leading business process analysis, scripting, code deployments, enhancement validation, triage of defects, and change requests;
• Developing BI/DW solutions for enterprise-wide reporting, and building customized applications, using Power BI, Python, SQL, UiPath, Azure, Visual Basic for Applications (VBA), and Java in a big data environment;
• Designing and developing data cleansing routines, utilizing typical data quality functions, including standardization, transformation, rationalization, linking, and matching; and
• Participating in setting engagement objectives and scope, developing work plans for components of engagements, coordinating activities between workstreams, and identifying changes in scope.

Other
Hours: M-F, 40 hours/week;

If offered employment, must have legal right to work in U.S. EOE, including disability/veterans.