Job Description & Summary
A career within Data and Analytics 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.
We 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 provides organisations with data driven innovation strategies and processes needed to realise their organisational goals.
As part of the team, you'll help with client specific functions like new product development, research and development, technology assessment, and product / services engineering.
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 a purpose-led and values-driven leader at every level.
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 :
Support the M&A business, under the Deals servicing team, mainly focusing on due diligence within Transaction Services.
As a key member in the Data Analytics team, you will handle large volume business data from a mergers and acquisitions perspective, in addition to supporting various deals projects, using ETL (extract, transform, load) methodologies.
Utilize various data technologies including data visualisation, data mining, big data techniques, to identify key merger and acquisition pre-deal risks and issues to help our clients realize their deal value and continuously push their post-deal strategy going forward.
Education (if blank, degree and / or field of study not specified)
Degrees / Field of Study required : Degrees / Field of Study preferred : Bachelor Degree - Accounting & Finance
Certifications (if blank, certifications not specified)
Desired Languages (If blank, desired languages not specified)
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date