At PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls. Those in data, analytics and technology solutions at PwC will assist clients in developing solutions that help build trust, drive improvement, and detect, monitor, and predict risk. Your work will involve using advanced analytics, data wrangling technology, and automation tools to leverage data and focus on establishing the right processes and structures to enable our clients to make efficient and effective decisions based on accurate information that is complete and trustworthy. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. Explore careers in PwC, Audit and Assurance, Data Analytics, Technology Solutions, Senior Associate roles, and financial services.
Eligibility / Qualification Required:
- Essential Skills and Experience (3-5 years’ experience)
- Bachelor Degree on STEM (Science, Technology, Science and Mathematics) majors is advantage
- Background and track record of technical experience in data analysis, programming, and how these can be used to create value to a client from data analytics spectrum i.e. data visualisation, data analytics, or data governance.
- Technology/technical experience of insurance industry is preferred.
- Experienced in data structures (SQL, ETL, SSIS) for data analytics processing.
- Some knowledge of finance, accounting, or ERP systems.
- Experience in using statistical packages for analysing data (Excel, R, Python, SPSS, SAS) is a plus point.
- Strong analytical, problem solving, and communication skills.
- Critical thinking and strong attention to detail.
- Able to articulate a business issue and potential impact without resorting to technical language.
- Ability to multi task, team player, and forward looking, keen to innovate and embrace growing trend in data and analytics.
- Ability to work flexibly and effectively in different teams for varying periods of time whilst still building good working relationships with both colleagues and client personnel at all levels.
Education:
- Degrees/Field of Study required: Not specified
- Degrees/Field of Study preferred: Not specified
Certifications:
Required Skills:
- Accepting Feedback
- Accounting Methods
- Active Listening
- Alteryx (Automation Platform)
- Analytical Thinking
- Auditing
- Business Process Improvement
- C# Programming Language
- Communication
- Creativity
- Data Analysis
- Data Visualization
- Data Wrangling
- Embracing Change
- Emotional Regulation
- Empathy
- Finance
- Financial Risk Analysis
- IBM Db2
- Inclusion
- Intellectual Curiosity
- Java (Programming Language)
- Learning Agility
- Microsoft Power Business Intelligence (BI) {+ 10 more}
Optional Skills:
Desired Languages:
Travel Requirements:
Available for Work Visa Sponsorship?
Government Clearance Required?
How to Apply:
Application instructions are not provided in the given text.
General Conditions:
No general conditions were specified in the provided text.
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