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2018 Analytics Salary Guide | Morgan McKinley

2018 Analytics Salary Guide

Written by Ripesh Damania
Feb 19, 2018
Submitted by Ripesh Damania on Mon, 02/19/2018 - 05:32

Our 2018 Analytics Salary Guide offers key recruitment insights and salary ranges for analytics professionals in Sydney.

Contents:
Business Intelligence SalariesAnalytics & Data Science Salaries 
Commentary on Analytics Roles and Remuneration in Australia for 2018

Business Intelligence Salaries (Per Annum ex. Super)
Business Intelligence Junior Level Mid Level Senior Technical or Manager Level Senior Manager +
BI Developer/Analyst $70,000 - $90,000 $91,000 - $120,000 $121,000 - $140,000 $141,000 +
Data Architecture (Data Architect) $120,000 - $140,000 $141,000 - $160,000 $180,000 - $200,000 $161,000 +
Data Gov/Mgmt $100,000 - $120,000 $121,000 - $141,000 $141,000 - $180,000 $181,000 +
Data Warehouse Dev. (Data Warehousing/modelling Specialist) $80,000 - $100,000 $101,000 - $130,000 $131,000 - $150,000 $151,000 +
 
Analytics & Data Science Salaries (Per Annum ex. Super)
Analytics & Data Science Junior Level Mid Level Senior Technical or Manager Level Senior Manager +
Campaign Analyst $70,000 - $90,000 $91,000 - $110,000 $111,000 - $125,000 $121,000 +
Data Scientist $100,000 - $110,000 $121,000 - $140,000 $141,000 - $185,000 $185,000 +
Predictive Modeller $80,000 - $100,000 $110,000 - $130,000 $131,000 - $150,000 $151,000 +
Digital Analytics Specialist $75,000 - $90,000 $91,000 - $120,000 $121,000 - $150,000 $151,000 +
Big Data Tools (BD Analyst) $95,000 - $115,000 $116,000 - $145,000 $146,000 - $185,000 $186,000 +
 
Commentary on Analytics Roles and Remuneration in Sydney for 2018

There continues to be a strong demand for the analytics skillset in the market, we are seeing this across all industries, with businesses all at different stages of maturity. The roles most in demand are Data Scientists, Business Intelligence Analysts, and Senior Analytics candidates. As a result, finding top talent in this space is becoming increasingly challenging. 

The latter stages of 2017 marked a slowdown in internationally-sourced candidates for analytical roles, this was largely due to the excellent talent available locally. At the junior end of the market we can attribute this to an increase of advanced analytics courses, both online and at University. These courses provide a plethora of reading and practical material on Big Data, AI and Machine Learning, and with open source programming tools and free to use data sets, people willing to learn can do so. 

Recent changes in visa regulations have had some impact in the movement of mid-tier international candidates, although the changes currently do not affect analytics roles the perception internationally is one of instability and uncertainty. 

At the senior end of the market, businesses continue to source top talent abroad, they are generally looking for candidates who have successfully dealt with similar operational and organisational challenges. Australia tends to attract strong senior candidates, this is due to the opportunity to drive change in businesses, work-life balance and good comparative salaries.

Over the past 12-18 months we have seen mass adoption of cloud-based solutions. This demonstrates that not only do Australian businesses value analytics, but they are also keen to adapt, which is an excellent sign for candidates. Conversely, we haven’t seen the appetite for Data Governance spread across industries and most of the demand is still in Financial Services. Data governance is an area where we expect to see an increase in demand over 2018.

While analytics is still a relatively male-dominated field, this is beginning to become more balanced. At Morgan McKinley in 2017, 43% of analytics roles were filled by females, and we expect this will be closer to 50% by the end of 2018. 

The interview process is changing, we’re seeing an increase in technical testing during the hiring process for data science and analytics roles. It's now common for businesses to give candidates data sets with key questions, ask them to run some analysis, and put together presentations. This makes it easier for clients to qualify candidates based on their commercial acumen and storytelling ability.

Salaries have increased in the analytics industry, we expect this to continue in 2018, particularly for data science and engineering candidates. The market is still looking for top talent, and businesses need to offer tailored positions and packages for specific candidates.