5 Types of Big Data Jobs you will be qualified to apply for once trained in Data Science and Analytics
The big data industry is actively looking for practically trained professionals with skills in data science, analytics, quantitative research, machine learning and AI from a range of fields including, IT, software engineering, mathematics, business management, finance, accounting, marketing, manufacturing and science - to name a few.
Businesses across industry sectors are realising the value in data - analysing and extracting insights from their historic and real-time data sets. This has caused a rapid increase and diversification of diverse data science jobs and a shortage of skilled professionals, especially across Asia Pacific.
Due to this global skills shortage, professionals with data science and analytics skills are in high demand and are well compensated - but which jobs should you actually apply for after gaining your new big data qualifications? Roles in the data science industry are still evolving and becoming more specialised as the demands within different sectors advance.
Here are the descriptions of 5 roles you will be qualified to apply for on paper and be trained to perform in 2019 with data science, analytics, and AI credentials:
1. Data Scientist - This role is suited to any BCD Graduate
Data Scientists analyse, design, build, and research structured and unstructured data sets to examine, organise, extract and predict insights, trends and patterns to help businesses make informed decisions and find data driven solutions to their business problems.
Data Scientists use advanced predictive analytics, programming, machine learning, AI and automation technologies as well as data modelling and visualisation techniques to perform daily tasks.
Average Data Scientist Salary: AUD$127k (an increase of 20% from 2017, November 2018)
Data Analysts design and conduct surveying processes to acquire, organise, examine, and report data about specific topics to help businesses meet customer needs and improve business processes and products based on statistical consumer insight.
Data Analysts use programming, data analytics, database systems, statistics, machine learning and data visualisation techniques to perform daily tasks.
Average Data Analyst Salary: AUD$75k
3. Data Engineer - This role is suited to any BCD Graduate from an IT Background
Data Engineers process, analyse, extract and interpret big data sets to plan, create, test, and implement technical solutions / systems based on trends to manage business data and improve processes.
Data Engineers usually originate from a software engineering / IT background and have an aptitude for back-end programming, knowledge of algorithms and data structures. They use programming, software, big data technologies, database systems, predictive data analytics and automation technologies to perform daily tasks. In a modern big data team, a Data Engineer will work alongside Data Scientists to implement and automate their models into business systems and full-stack software environments.
Average Data Engineer Salary: AUD$94k
4. Analytics Consultant - This role is suited to any BCD Graduate
Analytics Consultants are in charge of developing and implementing analytics solutions for businesses by creating data mining projects and implementing insights to increase consumer brand awareness, improve business processes / strategies, and increase revenue.
Analytics Consultants specialise in complex business problems and use data analytics, programming, statistics and data visualisation techniques to perform daily tasks. Consultants are masters of communication to explain complex problems to layman clients.
Average Analytics Consultant Salary: AUD$90k
5. Statistician - This role is suited to any BCD Graduate
Statisticians apply statistical methodologies to obtain, organise, extract, interpret and summarise quantitative data to identify practical insights and numerical trends to assist in shaping business strategies and data driven decision making.
Statisticians have the ability to use statistics, mathematics, advanced data analytics, statistical programming and data modelling and visualisation techniques to perform daily tasks.
Average Statistician Salary: AUD$76k
So, to make it easier to identify these kinds of roles on job boards with creative job titles that are synonyms for the above, look for variations of the following keywords and phrases in job descriptions when applying:
Analyse, organise / manage, extract, prepare / customise and present findings from large structured and unstructured data sets including: administrative, qualitative, quantitative and experimental data
Find and communicate relevant data insights using data modelling and digital visualisation techniques to present key insights and new ideas to stakeholders / key decision makers / clients / customers / team members
Process large amounts of data for observation and identify trends and patterns in real-time and historic data sets using predictive data analytics, AI/machine learning and automation technologies
Participate in the development and improvement of business strategies, operating models and analytics roadmaps
Research, design and develop statistical learning models for data analysis and conduct experiments and surveys using statistical methodologies to acquire numerical consumer insights, and generate business reports to improve business products/increase revenue
Understand, evaluate and solve business problems / meet client needs by designing data driven solutions / prototypes to accelerate evidence based business decisions
Keep up to date with technology trends and industry advancements
The big data industry is constantly evolving - and so are the roles, responsibilities and earning potential of professionals trained in data science, analytics, machine learning & AI skills. 2019 onwards is an optimal time to progress your career in the growing big data industry. Become involved in an industry that is data driven and fuelled by technology, innovation and individual skills to shape the future of businesses, products or processes.