Our 2017 Salary Guide offers key recruitment insights within Analytics, covering permanent salaries across the Australian market.
* All salaries quoted exclude superannuation
|Data Scientist||$125,000 - $170,000|
|Campaigns Analyst||$80,000 - $110,000|
|BI Developer||$120,000 - $150,000|
|Pricing Analyst||$110,000 - $130,000|
|Predictive Modellers||$110,000 - $140,000|
|Data Analysts||$70,000 - $100,000|
|Campaign Manager||$130,000 - $140,000|
|Analytics Manager||$140,000 - $150,000|
|Heads of||$180,000 - $200,000|
In 2016 Morgan McKinley was delighted to expand its service offerings with the addition of a dedicated analytics team. This market is evolving quickly as organisations find themselves with large volumes of data and look to unlock the potential insight this can provide to more efficiently drive business growth. Across the Australian market we are seeing organisations at varying stages of maturity in this space with sectors such as financial services, telco, government, retail and the startup community delivering some of the thought leadership, whilst other sectors are starting out on their journey and really looking to define what their strategy and team needs to look like in this area.
As demand for specialist talent has increased we have seen real talent shortages across several role types, including data scientists, predictive modellers, data visualisation and specialists.
One of the frequent struggles for organisations is finding suitable talent, the ideal candidate being technically strong, commercially astute and possess strong communication skills. Last year we saw more organisations embrace analytics and the power of data. Startups were faster off the mark here, being more Agile to implement change; adopt cloud platforms, using open source technology like R and Python, and generally being able to move talent more quickly through the process to secure them for their organisation.
A trend that looks set to continue this year is the closer alignment between digital and data analytics; with an emphasis on mining unstructured data in real time. This is in an effort to provide consumers with a more personalised service offering. Major telecommunications provider Telstra are using a range of complex propensity models using next best action data to present customers with personalised offers via its digital channels. Which has reportedly led to a 26% increase in data pack sales.
We hope to see an increase in female candidates applying for roles in 2017. Analytics is a heavily male dominated area. At university, computer science and statistical courses have a lower number of females, whilst a large effort is being put into initiatives starting at primary school ages to stop younger generations seeing the industry as male-dominated, this will take time to reflect on the market.
As the benefits of analytical teams are further revealed, and the top talent become more highly sought after, salaries will continue to rise this year. The best way for candidates to access the top brackets within their relevant fields, the most popular being data scientists, BI specialists and data visualisation experts, will be further education. Especially in IT, statistics, and mathematics, but also masters in big data, PhDs in data science and business analytics courses. In addition to this, mastering the softer competencies and being able to communicate effectively and prove commercial acumen to translate analytics skills into meaningful insights is still the most important focus for businesses when currently hiring.