Consultant | Data Analyst | KPMG Futures
Sydney, Australia
KPMG Australia
KPMG is a global network of professional firms providing Audit, Tax and Advisory services.Company Description
KPMG Futures features a specialist team to focus on the future – including future sectors, future technologies, future services, future business models and more. KPMG Futures will pursue opportunities in areas such as quantum computing, Web 3.0, the metaverse and next-gen AI. One of our main objectives is to build a portfolio of game-changing businesses. Core to this objective is our venture partnering capability which aims to create strategic collaborations between our firm and ground-breaking start-ups to solve our clients most pressing problems.
KPMG Origins (one of the ventures within KPMG Futures) creates trustworthy ecosystems to enable streamlined interactions across organisations, industries, and international borders. Our goal is to enable these ecosystems to thrive to address global problems such as cost of living, food insecurity, sustainability, human rights and consumer transparency.
Job Description
- Collect, analyse, and interpret large data sets to identify trends and insights.
- Extending the capabilities of the KPMG Origins SaaS solution with analytics, reports and dashboards for our clients.
- Work with cross-functional and subject matter teams to provide insights and recommendations for business decisions.
- Conduct research and implement of new AI/ML capabilities across data pools.
- Implement data quality control processes to ensure the accuracy of data.
- Collaborate and get involved with the engineering team to design and implement data systems.
Qualifications
Requirements:
- Tertiary qualifications preferably in Computer Science, Mathematics, Statistics, Engineering (with significant computational component e.g. Mechatronics) or related field.
- Strong analytical and problem-solving skills.
- Familiarity with SQL.
- Provable experience with some common coding language/s (e.g. python, C# or typescript).
- Proven ability to work well in a team environment outside of university required projects.
- Strong written and verbal communication skills.
- Fresh graduates are encouraged to apply.
Extra Points:
- Familiarity with data visualization tools (e.g. Tableau, Power BI)
- Familiarity with Cloud Engineering (preferably Azure).
- Experience with supply chain, agriculture, commodities, waste or construction industries.
Additional Information
KPMG is one of the most trusted and respected global professional services firms. We partner with clients across an array of industries to solve complex challenges, steer change, drive disruption, and enable growth.
Our people are what make KPMG the thriving workplace that it is and what sets us apart is that we know great minds think differently. Collaborate with a team of passionate, highly skilled professionals who’ve got your back. You’ll build relationships with unique and diverse colleagues who will provide you with the support you need to be your best and produce meaningful and impactful work in an inclusive, equitable culture.
At KPMG, you’ll take control over how you work. We’re embracing a new way of working in many ways, from offering flexible hours and locations to generous paid parental leave and career breaks. Our people enjoy a variety of exciting perks, including retail discounts, health and wellbeing initiatives, learning and growth opportunities, salary packaging options and more.
Diverse candidates have diverse needs. During your recruitment journey, information will be provided about adjustment requests. If you require additional support before submitting your application, please contact the Talent Support Team.
At KPMG every career is different, and we look forward to seeing how you grow with us.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Azure Computer Science Data quality Data visualization Engineering Generative AI Machine Learning Mathematics Power BI Python Research SQL Statistics Tableau TypeScript
Perks/benefits: Career development Flex hours Parental leave Startup environment
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