Salt’s Specialisms in Data & Analytics
• Big Data
• Business Intelligence
• Data Science
• Data Insights
• Data Warehousing
• Data Management (MI)
• Digital Storage
• RDBMS
• Insight Analytics
• Web Analytics
Latest salary trends in the Data & Analytics job sector
Data Analyst – Entry-Level
NZ$50,000 - NZ$65,000
Data Analyst – Mid-Weight
NZ$65,000 - NZ$85,000
Data Analyst – Senior
NZ$90,000+
Data Science – Entry-Level
NZ$60,000 - NZ$90,000
Data Science – Mid-Weight
NZ$90,000 - NZ$120,000
Data Science – Senior
NZ$120,000+
Demand Vs Offer
Thanks to the data explosion over the last couple of years, which was mainly caused by innovative storage solutions, new data analysis tools and improved processing power, the Data Analyst job has become one of the best paid and most respected careers in the Technology sector. It is in extremely in high demand and there is a significant talent gap in this industry.
Locations
• Auckland
• Christchurch
• Wellington
Popular Industries
Data and Analytics specialists are highly sought after in the information technology, financial services, banking, telecommunications, marketing, and accountancy industries. Since big data has started to play an important role in almost every sector, more industries have begun to hire specialists in this field. Most roles are permanent as companies are confronted with data challenges on a day-to-day basis.
Recent Changes
Over the last years, the amount of data has constantly grown and multiplied. Many companies have too much data and struggle to make sense of it or make use of it to unlock its power. The role of Big Data Analysts is, therefore, becoming increasingly important — for some companies even more important than the role of “normal” Data Analysts. The difference between a Data and a Big Data Analyst is mainly that the latter have to deal with a massive amount of heterogeneous data which has to be identified and analysed, so that hidden patterns can be presented.
Future Prospects
Data Analysts are among the most sought-after employees in today’s job market and will remain on top in the next couple of years.
Employers’ Requirements
Hiring managers look out for experts in hypothesis generation, data-mining and data visualisation as these are some of the key competencies that employers want from Data Analysts. In order to land a job in this field, you should prove to the hiring managers that you are on top of emerging tools and techniques, including e.g. statistical analytics and machine learning. A huge plus for many employers is excellent knowledge of Hadoop as it helps to analyse big data.
CV Requirements
What should be included on every Data Analyst’s CV is their skill sets across different computer programming languages as they help to set up customised analytical solutions. Some languages which are beneficial to mention are Python, Java, PHP, and SQL. Additionally, adding big data skills on your CV, such as the development of customised algorithms is a huge bonus.
Interview Preparation
In interviews for Data and Analytics roles, interviewers will try to assess if applicants have sufficient knowledge about topics such as operations research, database skills, scripting languages, visualisation, machine learning, and statistics. In order to find this out, interviewers will ask a mix of operational and role specific questions, such as:
• Please describe how you would solve a business problem with a data-driven model.
• According to your opinion, which data-driven models are simple and which ones are complex?
• Please explain dimensionality reduction.
• When do we know if we have collected enough data for training a model?
• Why do we have different kind of data sets (training, validation and test) and how can they be used effectively?
Educational Requirements
The educational requirements for Data and Analytics jobs are among the strictest in the IT sector. Around 40 percent of companies requires their future employees to have postgraduate degrees, such as masters, MBAs or PHDs. The other 60 percent of companies expects applicants to have an analytical undergraduate degree, e.g. in computer science, engineering, maths, or statistics.
Looking for Data & Analytics jobs? Check out our current opportunities on our job page.
