As a member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics.

Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline.  Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must.

Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills.

• Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients.
• Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes.
• Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data
• Development of data modelling and architecture documentation
• Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues.
• Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context
• Contribute to the design and development of analytical solutions in response to these risks.
• A passion for continuously improving yourself and how we best solve our clients’ problems
• Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team.
• Open and honest communication to understand what is required of you and how you and others can improve.
• Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed.
• Assist in identifying and collecting data from financial systems and other related data sources
• Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project
• Apply selected analytical techniques and tools to achieve project outcomes
• Ability to effectively work in technical cross-functional teams
• Provide expertise on data analytics and digital transformation
• Ability to work independently and manage multiple tasks while maintaining project timelines
• Understanding of ML and AI concepts and its applicability.
• SAP experience an advantage.
• Project management skills essential for this role.
• Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage.

2+ years expert knowledge of advanced SQL/ PostgreSQL

• Strong coding skills (Python, Pyspark or any other additional programming language as Java, C++ considered a plus)

• Experience extracting and analysing data from complex data sets and systems

• Strong attention to detail with a curiosity to understand data

• Ability to thrive working in a team environment and serving clients with distinction

• Ability to turn data into insights and communicate insights effectively with our clients

• Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI)

• Strong Knowledge of Excel and VBA

Additional Skills required for this role.

• Communication skills.  You are able to confidently communicate in both technical and non-technical teams as well as facilitate discussions within a different team, with potentially difficult dynamics.

• Data analysis and synthesis. You understand data cleansing and transformation using SSIS, design build and test data products that are complex or large-scale.

• Data integration design. You know how to select and implement the appropriate technologies to deliver resilient, scalable and future-proofed data solutions.

• Data modelling. You understand the concepts and principles of data modelling and can produce relevant data models across multiple subject areas. You can compare and align different data models.

• Problem solving. You know how to respond to problems in databases, data processes, client’s data and services as they occur. You can initiate actions, monitor services and identify trends to resolve problems. You can determine the appropriate remedy and assist with implementation of it as well as preventative measures.

• Programming and build. You know how to use agreed standards and tools to design, code, test, correct and document moderate-to-complex programs and scripts from agreed specifications and subsequent iterations. You can collaborate with others to review specifications where appropriate.

• Technical understanding. You understand core technical concepts related to the role and can apply them with guidance.