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Data science, analytics & business intelligence

Our expert knowledge of Sydney’s data science, analytics & business intelligence market and extensive candidate network, backed by the collective team power of the broader T+O+M business enables us to confidently deliver on any search we’re engaged on.  The strength of our client network enables us to provide our candidates with access to the best jobs in the market, with companies you want to work for, or didn't know you wanted to.  

With close to 30 years of financial services industry experience, and a proven track record in identifying hard-to-find skill sets, our data science, analytics & business intelligence desk is embedded within a mature business that’s been working with Australia’s leading financial services institutions since we opened the doors in 2004.

Our clients include Australia’s leading banks and household retail names. in the data science, analytics & business intelligence space, these include: Westpac, CBA, Macquarie Bank, AMP, Suncorp, Caltex and Woolworths.

We specialise in a number of skill-sets across data science, analytics & business intelligence. Roles we typically place include:

Data & Reporting Analyst
Data engineer
Business Intelligence
Customer Analytics
Product analytics
Campaign Management
Data scientists
Operations Analytics

In the latest episode of T+O+M Talks, our co-founder and director chats to our data science, analytics and business intelligence head of desk, Jeremy Taylor, to find out:

  • How to go about building data science & analytics capability

  • Where has the shift in demand been and what type of role are we looking at now?

  • What does the future look like for data science and analytics?

  • How do you differentiate between roles in analytics and data science? Will they continue to evolve?

  • Is demand pushing up salaries?

  • Can accounting and finance people to move into analytics and business intelligence?

Check out our data science, analytics and business intelligence trend reports:

November 2017:

May 2017:


Get in touch with a friendly member of our data science, analytics & business intelligence team to talk about your resourcing needs and #findoutwhatsnext.