Job Description
Our Data and Analytics consultants help clients maximize the value of their data. This high performing team helps clients define their information strategy, architecture and governance, get the most value from business intelligence and analytics, and implement enterprise content and data management solutions to reduce cost and complexity, increase trust and integrity, and improve operational effectiveness. Position/Program RequirementsMinimum Years of Experience: 8
Minimum Degree Required: Bachelor's degree
Minimum Degree Required Major: in Computer Science or any MIS related field
Knowledge Preferred
Demonstrates functional expertise of strategic sourcing, including: practices and methodologies, technology functionality, discrete spend category optimization, e-sourcing applications, organization modeling, contract management, spend analytics, vendor negotiations, large-scale implementation, supplier relationship management, online and reverse auctions, MRO/Indirect spend, forecasting, supply planning, inventory management, demand planning and management, production planning, master scheduling, vendor relationships, cost rationalization, MRP, EOQ, safety stock levels, capacity modeling, metrics reporting, and Just-in-Time environments in global operations.
Demonstrates Expertise Of Leading Client Engagement Teams That Design And Develop Business Intelligence (BI) And Predictive Models For Data Warehouse (DW) Information Management Architecture, Including
Evaluating enterprise DW architecture feasibility, risk and technologies related to business change (i.e. assessing, identifying and recommending BI and related business stakeholders' data requirements; BI solution prototyping and development; processes and performance from business and technical standpoints; and the impact of data changes on business and/or IT processes);
Advising CXO's on emerging BI/DW technologies and strategies consistent with clients' business strategies;
Prioritizing, preparing and implementing BI and/or DW architectural improvements (i.e. developing and recommending alternative DW technical and data management solutions, methodologies, strategies and architectural improvement plans);
Developing and validating business stakeholders' conceptual data models, including socializing and implementing logical and physical DW/data mart data models; identifying data sources and metadata (including business rules, definitions, attributes, etc.) to deliver analytic requirements.
Requirements
Demonstrates expert-level abilities interacting with end-users to understand and document business and functional requirements, data sources, metadata, and conceptual data models for complex projects, including at least two full software development life cycles, BI/SQL, DW/SQL/ETL/Modeling tools and other related technologies involving:
BI and enterprise DW data management, modeling, integration and/or synchronization, quality, security, conversion and analysis, star schema and relational reporting models, enterprise data management policies, procedures, compliance and risk management and/or database administration,
Design and development of data models, extraction code and cleansing routines utilizing typical data quality functions, i.e. standardization, transformation, rationalization, linking and matching that leverages data standards, processes and technology management for data, master data, and metadata; and, data security (including data masking and related data protection techniques)
Demonstrates Proven Success With Leading And Managing Business Development Opportunities And Engagements From Pre-sale And Initial Scoping Through Final Delivery And Signoff, Developing Business Vision And Leading Implementation Efforts Including
Strategy development--writing, communicating, facilitating, and presenting cogently to and/or for all levels of industry audiences, clients and internal staff/management
Sunday, September 27, 2015
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