FY24 - Senior Associate - Risk Assurance (Data Analytics)

Line of Service

Assurance

Industry/Sector

Technology

Specialism

Data Analytics

Management Level

Senior Associate

Job Description & Summary

A career in our Data and Analytics Innovation and Development 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. You’ll 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 a Senior 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:

• Use feedback and reflection to develop self awareness, personal strengths and address development areas.
• Delegate to others to provide stretch opportunities, coaching them to deliver results.
• Demonstrate critical thinking and the ability to bring order to unstructured problems.
• Use a broad range of tools and techniques to extract insights from current industry or sector trends.
• Review your work and that of others for quality, accuracy and relevance.
• Know how and when to use tools available for a given situation and can explain the reasons for this choice.
• Seek and embrace opportunities which give exposure to different situations, environments and perspectives.
• Use straightforward communication, in a structured way, when influencing and connecting with others.
• Able to read situations and modify behavior to build quality relationships.
• Uphold the firm's code of ethics and business conduct.

Requirements:

• Essential Skills and Experience (1-5 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 as ETL / Data Engineer will be advantaged
• 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 (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred: Bachelor Degree - Information Technology, Bachelor Degree - Computer and Information Science

Certifications (if blank, certifications not specified)

Required Skills

.NET Programming, C (Programming Language), C Sharp (Programming Language), ETL Pipelines, Python (Programming Language), SQL Server Integration Services (SSIS), Talend Open Studio

Optional Skills

Enterprise Resource Planning (ERP)

Desired Languages (If blank, desired languages not specified)

English, Indonesian

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

Yes