Industry/Sector Not Applicable
Specialism Data, Analytics & AI
Management Level Manager
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.
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 a Manager, 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:
- Develop new skills outside of comfort zone.
- Act to resolve issues which prevent the team working effectively.
- Coach others, recognise their strengths, and encourage them to take ownership of their personal development.
- Analyse complex ideas or proposals and build a range of meaningful recommendations.
- Use multiple sources of information including broader stakeholder views to develop solutions and recommendations.
- Address sub-standard work or work that does not meet firm's/client's expectations.
- Use data and insights to inform conclusions and support decision-making.
- Develop a point of view on key global trends, and how they impact clients.
- Manage a variety of viewpoints to build consensus and create positive outcomes for all parties.
- Simplify complex messages, highlighting and summarising key points.
- Uphold the firm's code of ethics and business conduct.
- Minimum 7 - 10 years of working experience in related field.
- Background and track record of technical experience in data analytics, system implementation, ERP systems, business operations, and how these can be used to create value to a client from data analytics spectrum i.e. data visualisation, data analytics, data governance, process improvement, process automation, or other relevant technology solutions with agile mindset.
- Evidence of interpersonal skills - specifically a high level of interaction with business users at all levels and not focussed only with back office or technical role.
- Evidence of leading teams - continuously nurture the analytics team to innovate in the realm of data and analytics.
- Effectively led in sales cycle (proposal/business development) to delivery cycle (project/engagement management) from client, people, and firm perspective, risks, and mitigation actions.
- Critical thinking, strong attention to detail, and able to articulate a business issues and identify potential solutions without resorting to technical language.
- Knowledge in data structures (SQL, ETL, SSIS) and programming algorithms (Python, Java, C, C#, .NET Framework) for data analytics processing.
- Experience in using statistical packages for analysing data (Excel, R, Python, SPSS, SAS) is a plus point.
- Web programming such as ASP, JavaScript, JSON, CSS and HTML is a plus point although not essential.
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills
Optional Skills
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date
PwC