How to hack your career in Data and Analytics

Details
Want to know what it takes to build a great career in data & analytics? Ever wondered what hiring managers and recruiters look for in a stand-out candidate? Interested in what the future will bring for data professionals?
Speakers -
Jonas Christensen, Director of Analytics at Taylor Fry.
Jonas Christensen has spent the last 15 years using data and analytics to build businesses in Australia and overseas. As a Director of Analytics at Taylor Fry, he combines the disciplines of advanced analytics, strategy, finance and marketing to deliver happier customers, higher profits and sustainable business outcomes for his clients.
Jonas is passionate about what insights-driven decision making, analytics and data science can do for the world of business and beyond. He believes data and analytics can be as revolutionary to the way we do business and interact with each other as IT and personal computing has been over the past 40 years.
Raj Sharif - Technical Recruiter in Data Science and Analytic at Preacta Recruitment.
Raj is an experienced technical talent specialist with over 5 years worth of recruitment experience spanning the UK and Australia.
Raj has been helping candidates and companies identify the best opportunities for career growth and talent acquisition to help them succeed within the tech industry. He takes great pride in providing guidance and support and is an avid participant in organising various tech community Meetups.
His main specialties are:
- Data Science and Advanced Analytics, AI/ML
- Business Intelligence and Data Analytics
Technologies: Python, R, SQL, SAS, Tableu, Power BI, TensorFlow, PyTorch etc.
Jeremy Corbet - Data and Cloud Lead at Preacta Recruitment.
Jeremy, also knows as the French Data recruiter, heads up the data division at Preacta. He has got over 5 years’ recruitment experience in both ANZ & Europe.
He is passionate about entrepreneurship and loves working with ambitious people who are addressing major social / environmental / business issues.
His main specialist areas are:
- Data Engineering
- Cloud Engineering
- Data Warehousing
Technologies: Spark, Python, Scala, Java, Cloud (AWS, GCP, Azure), Talend, SQL, Oracle, etc.
Join us on Wednesday 6 May to get the answers to these questions and more! Register NOW!

How to hack your career in Data and Analytics