22 days old

Data & Analytics Engineer (Financial Services)

PwC
New York, NY 10017

A career in our Analytics Technology 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. Youll make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.Our team helps clients navigate various analytics applications to get the most value out of their technology investment and foster confidence in their business intelligence. As part of our team, youll help our clients implement enterprise content and data management applications that improve operational effectiveness and provide impactful data analytics and insights.


To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be an authentic and inclusive leader, at all grades/levels and in all lines of service. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.


As an Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

  • Invite and provide evidence-based feedback in a timely and constructive manner.
  • Share and collaborate effectively with others.
  • Work with existing processes/systems whilst making constructive suggestions for improvements.
  • Validate data and analysis for accuracy and relevance.
  • Follow risk management and compliance procedures.
  • Keep up-to-date with technical developments for business area.
  • Communicate confidently in a clear, concise and articulate manner - verbally and in written form.
  • Seek opportunities to learn about other cultures and other parts of the business across the Network of PwC firms.
  • Uphold the firm's code of ethics and business conduct

Job Requirements and Preferences: 

Basic Qualifications: 

Minimum Degree Required: 
Bachelor Degree

Required Fields of Study: 
Computer and Information Science, Computer and Information Science & Accounting, Economics, Economics and Finance, Economics and Finance & Technology, Engineering, Operations Management/Research, Statistics

Additional Educational Requirements: 

Other quantitative fields of study may be considered

Minimum Years of Experience: 
1 year(s) 

Preferred Qualifications: 

Preferred Knowledge/Skills: 

Demonstrates some knowledge of, and/or a proven record of success performing in a role participating in, analytics projects which include:

- Analyzing large and complex data sets, including a demonstrated thorough aptitude for conducting quantitative and qualitative analyses;

- Presenting the valuable insights generated from complex data set analysis through visualization techniques.

Demonstrates some abilities and/or a proven record of success as a team member on project engagements and project teams, which includes the following:

- Understanding personal and team roles; contributing to a positive working environment by building solid relationships with team members; proactively seeking guidance, clarification and feedback;

- Identifying and addressing client needs, which includes the following: building solid relationships with clients; developing an awareness of Firm services; approaching client in an organized manner; delivering clear requests for information; demonstrating flexibility in prioritizing and completing tasks; communicating potential conflicts to a supervisor;

- Prioritizing and handling multiple tasks; researching and analyzing pertinent client, industry, and technical matters; utilizing problem-solving skills; and, communicating effectively in written and verbal formats to various audiences (including various levels of management and external clients) in a professional business environment.


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: 2020-01-05 Expires: 2020-02-05

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Data & Analytics Engineer (Financial Services)

PwC
New York, NY 10017

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