Advisory Big Data Senior Associate

PricewaterhouseCoopers   •  

Atlanta, GA

Industry: Accounting, Finance & Insurance

  •  

Less than 5 years

Posted 87 days ago

This job is no longer available.

A career in our Business Intelligence practice, within Data and Analytics Technology services, will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. You ll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Responsibilities

As a Senior Associate, you ll work as part of a team of problem solvers with extensive consulting and industry experience, helping our clients solve their complex business issues from strategy to execution. Specific responsibilities include but are not limited to:

  • Proactively assist in the management of several clients, while reporting to Managers and above
  • Train and lead staff
  • Establish effective working relationships directly with clients
  • Contribute to the development of your own and team s technical acumen
  • Keep up to date with local and national business and economic issues
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients 
  • Continue to develop internal relationships and your PwC brand


Job Requirements and Preferences

Basic Qualifications

Minimum Degree Required
Bachelor Degree

Required Fields of Study
Computer and Information Science, Management Information Systems

Minimum Years of Experience
4 year(s) 

Preferred Qualifications

Preferred Knowledge/Skills
Demonstrates thorough knowledge of contributing on 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.

Demonstrates thorough abilities to interact with end users to understand and document business and functional requirements for complex projects, including full software development life cycle, DW/BI/ETL tools and other related technologies, including: 
- Enterprise data management, data warehousing and/or business intelligence; data modeling, integration and/or synchronization, quality, security, conversion and analysis; database administration; and/or enterprise data management policies, procedures, compliance & risk management. This includes a minimum of having participated in two full life cycle implementations;
- Architecture, design and development of enterprise business intelligence and data warehousing solutions, including utilizing leading ETL/BI tools and the ability to architect a solution;
- Design and development of data cleansing routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching that leverages knowledge within data, master data, metadata and technology management.

Job ID:   14164WD