Most of these occupations require post-graduate qualifications. For example, they may require a masters degree, and some require a Ph.D., or M.D.
Extensive skill, knowledge, and experience are needed for these occupations. Many require more than five years of experience plus specialist training to be able to do their job.
Employees may need some on-the-job training, but most of these occupations assume that the person will already have the required skills, knowledge, work-related experience, and/or training.
Job Zone Examples
These occupations often involve coordinating, training, supervising, or managing the activities of others to accomplish goals. They may also require very specialist skills. Very advanced communication and organisational skills are required. Examples include lawyers, aerospace engineers, wildlife biologists, school psychologists, surgeons, treasurers, and most scientists.
|Big Data Developer|
(thousands per year)*
65 - 80
Last Updated: April, 2015
|* The lower figures typically reflect starting salaries. Higher salaries are awarded to those with greater experience and responsibility. Positions in Dublin sometimes command higher salaries.|
As with programmers, the labour market indicators examined point to an occupation in high demand with strong employment growth and evidence that employers are having difficulties filling vacancies.
National Skills Bulletin 2018
Also included in this category:
|Part time workers:||6%|
|With Third Level:||88%|
Works with the collection and analysis of massive amounts of data obtained from computer and internet users.
Big data generally is defined as a collection of large datasets that cannot be analyzed with normal statistical methods. The datasets are so big, they are measured in exabytes—one quintillion (1 followed by 18 zeroes) bytes. By comparison, an mp3 song is typically less than 10 megabytes (1 followed by 6 zeroes)
The data do not have to be just numbers; they can be videos, pictures, maps, words and phrases, and so on. Examples of big data include customer reviews on commercial websites, comments on social networking websites, photos and videos posted online, electronic medical records, and bank records. There are two types of big data: structured and unstructured.
Structured data are numbers and words that can be easily categorized and analyzed. These data are generated by things like network sensors embedded in electronic devices, smartphones, and global positioning system (GPS) devices. Structured data also include things like sales figures, account balances, and transaction data.
Unstructured data include more complex information, such as customer reviews from commercial websites, photos and other multimedia, and comments on social net - working sites. These data cannot easily be separated into categories or analyzed numerically.
There are lots of occupations that work with big data in one way or another. The job tasks of these workers are evolving, as are their job titles. Several occupations that might work with big data are described below, along with their relevant job tasks.
Managers who work with big data are known as chief data officers or chief information officers. They create the policy for how their organization will use data, as well as supervise the analysts, computer programmers, and other workers.
Third Level teachers who use big data usually instruct students in statistical analysis and computer science. These teachers may have a lot of expertise and experience working with big data but choose to help new generations of workers develop their skills to enter the workforce.
Software developers have an important role in working with big data. They write the computer programs that aggregate, process, analyse, and visualize the data, along with the trends and other useful information that can be found in those data. Software developers generally are not associated with a single industry but create computer programs for use across industries for lots of different data. They may explore alternative sources of data and alter their programs to work with specific kinds.
Other emerging titles include:
Data Analyst - performs analysis of data and works out how the findings of the analysis can best be applied to profit the business. Data Analysts may have a degree such as BS in Mathematics, Economics, or Computer Science. People in this role in the business field may undertake an MBA.
Data Change Agents - drives changes in internal operations and processes based on data analytics. A Level 7 Degre in Computer Science is a typical starting point to career in this sector. A background in Six Sigma and knowledge of statistics would be beneficial.
Data Engineer/Operator - responsible for the day-to-day operation of Big Data computer systems.
Data Scientist - takes the lead in processing raw data and determines what type of analysis would deliver the best results. Draws on maths, computing, science, statistics and sociology to interpret information and produce insights. Typically has a background that includes maths and statistics, as well as artificial intelligence and natural language processing.
Data Steward - manages the quality and security of an organisation's information. A Bachelor Degree at NFQ Level 7/8 or higher and industry specific experience in the areas of IT, business, or finance would be required.
Data Virtualisation - Cloud Specialist - builds and maintains a virtualised data service layer that can draw data from any source and make it available across organisations in a consistent, easy-to-access manner. A Level 7 degree or greater in computer science or maths opens up many career opportunities across the IT sector. May have a traditional programming, database administ&
People working with Big Data need patience and enjoy the challenges of solving complex problems. In particular they need:
Problem-solving skills are important for working with big data. Analysts have to create new ways of doing things that account for the different kinds of data and the large scope of the datasets.
Communication skills - Working with big data is highly technical, but workers need to be able to clearly explain their results to other workers. And many times, those other workers may not be as data- savvy as the analysts.
Teamwork - The ability to collaborate and work well with others also is helpful in big data jobs. Work is usually spread among teams of analysts because the data are so complex. Each member of the team has a different responsibility: organizing the data, using software for analysis, or making graphics of the results, for example. It takes the entire team to complete a project.
|Computer Systems Technician|
|Computer System Administrator|
|Computer Hardware Engineer|
|IT Project Manager|
|Computer Systems Analyst|
|Forensic Computer Analyst|
|Geographical Information Systems (GIS) Technician|
|ICT Staff - EU|
|Software Developer / Architect|
|Test Lead - Software|
|Information Architect - IT|
|Business Systems Service Technician|
|Search Engine Optimisation (SEO) Specialist|
|IT/Cyber Security Specialist|
|Digital Media Content Manager|
|Organisation:||INSIGHT - National Centre for Data Analytics|
|Address:||Joint initiative between UCD, NUIG, UCC, and DCU|
|Tel:||Various - See website|
|Organisation:||Irish Centre for High-End Computing (ICHEC)|
|Address:||7th Floor Tower Building Trinity Technology & Enterprise Campus Grand Canal Quay Dublin 2 Ireland|
|Tel:||(01) 5241608 (ext 21)|
|Organisation:||Centre for Applied Data Analytics Research (CeADAR)|
|Address:||CeADAR University College Dublin NexusUCD Belfield Office Park, Unit 9, Clonskeagh, Dublin 4|
|Tel:||(01) 716 5713|
|Devin Scannell - Engagement Manager|
|Big Data and Analytics Top Tech Jobs|
|Big Data, Big Goals, Big Rewards,|
|So you want to be a Data Scientist?|
|What a Data Analyst does|
|This occupation is popular with people who have the following Career Interests... |
...and for people who like working in the following Career Sectors:
|Computers & ICT|
|Business Management & Human Resources|
|Physics, Mathematics & Space Science|
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