4 days old

Data Analyst Manager - Investigative Analytics

PwC
McLean, VA 22102

A career in our Investigative Analytics practice, within Forensics Technology services, will provide you with the opportunity to help our clients protect their business in todays evolving landscape by applying advanced and strategic approaches to information management. We focus on assisting organisations manage vast amounts of electronic data and navigate the legal and business processes demanded by critical events which includes litigation, regulatory requests and internal investigations.Our team helps design and build investigation support systems for our clients that work with, review, and provide insights of the data under investigation without the need for complex data analysis skills and without the risk of damaging the underlying evidence.


Responsibilities

As a Manager, youll 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 a portfolio of clients, while reporting to Senior Managers and above
  • Be involved in the financial management of clients
  • Be actively involved in business development activities to help identify and research opportunities on new/existing clients
  • Contribute to the development of your own and teams technical acumen
  • Develop strategies to solve complex technical challenges
  • Assist in the management and delivering of large projects
  • Train, coach, and supervise staff
  • Keep up to date with local and national business and economic issues
  • Continue to develop internal relationships and your PwC brand

Job Requirements and Preferences:

Basic Qualifications:

Minimum Degree Required:
Bachelor Degree

Minimum Years of Experience:
5 year(s)

Preferred Qualifications:

Degree Preferred:
Bachelor Degree

Preferred Fields of Study:
Management Information Systems, Engineering, Accounting, Computer and Information Science, Mathematics, Finance, Economics, Statistics

Certification(s) Preferred:

Database and programming certifications, such as Oracle, MS SQL Server; CPA; and/or PMI. Certified Fraud Examiner is a plus.

Preferred Knowledge/Skills:

Demonstrates proven extensive knowledge of, and/or success in managerial roles involving, forensic technology, forensic accounting, technical investigations, and/or accounting-related and business consulting projects, preferably for a global network of professional services firms, including the following areas:

- Managing business transactions, such as divestitures, mergers and acquisitions;

- Managing relational and NoSQL Databases, especially utilizing one or more of the following environments: Data Visualization Tools - Tableau; Spotfire, QlikView, etc., R or Base SASData Analytics - Microsoft SQL, Oracle, Informatica; or, VBA or Python;

- Managing ERPs, especially multiple business and accounting cycles, financial reporting activities, and data models;

- Understanding industry-specific business processes and accounting practices, such as Healthcare, Oil and Gas, Utilities, etc.; and,

- Consulting or helping to manage industry-related data analytics and/or financial management, emphasizing multiple business and accounting cycles.

Demonstrates extensive level of ability in and/or proven record of success with forensic technology, forensic accounting, technical investigations and/or accounting-related and business consulting projects, preferably for a global network of professional services firms, including the following areas:

- Managing multiple engagement teams and competing priorities in a rapidly growing, cross-functional, fast-paced, interactive, results-based team environment;

- Leading teams to translate business and accounting requirements into technical solutions specifications;

- Creating, managing, and utilizing high performance relational and NoSQL databases such as Microsoft SQL Server, Oracle, Microsoft Access, OLAP and other proprietary software;

- Gathering, standardizing, and analyzing voluminous transactional electronic data, such as banking records, general ledgers, sales and inventory data, etc.;

- Querying and mining large data sets to discover transaction patterns, examining financial data and filtering for targeted information that utilize both traditional and predictive/advanced analytic methodologies;

- Designing and developing user interfaces and database reports;

- Creating proposals and other business development activities as appropriate;

- Fostering positive working relationship with clients and working effectively with client management and staff at all levels to gather information and perform services;

- Identifying and addressing client needs: building, maintaining, and utilizing networks of client relationships and community involvement; communicating value propositions; managing resource requirements, project workflow, budgets, billing and collections; and preparing and/or coordinating complex written and verbal materials;

- Communicating cogently when writing, speaking and/or presenting to client finance and technology personnel, client in-house and outside legal counsel, compliance personnel, investigators, vendors and internal team members; and,

- Leading and training teams in the aforementioned activities, coaching staff including providing timely meaningful written and verbal feedback and creating an atmosphere of trust; seeking diverse views to encourage improvement and innovation.


All qualified applicants will receive consideration for employment at PwC without regard to race; creed; color; religion; national origin; sex; age; disability; sexual orientation; gender identity or expression; genetic predisposition or carrier status; veteran, marital, or citizenship status; or any other status protected by law. PwC is proud to be an affirmative action and equal opportunity employer.

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Posted: 2019-10-16 Expires: 2019-11-16

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Data Analyst Manager - Investigative Analytics

PwC
McLean, VA 22102

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