Data
There are many specialist areas within Data, which make it a very interesting career to explore! Gravitas can help by matching you with some of the best and most reputable organisations across the Finance, Insurance and Commercial sectors, through our specialist Technology team.
We work with Data professionals across Data Science, Data Engineering, Data Analytics, Data Protection, Data Governance and more. Our specialist consultants will explore your skills, experience and future career aspirations to help you fulfil your career goals.
Our clients are looking for skilled candidates across the following specialist areas.
Data Science
Data Science has been transforming how organisations understand data to achieve optimum outcomes and decision making. It combines mathematics, data methodology, algorithms, and statistics to collect and interpret large amounts of data (Big Data).
Key positions in Data Science are:
- Data Scientist
- Machine Learning Engineer
- Big Data Engineer
Programming skills such as Python, SQL and R, statistical analysis, data mining and machine learning are all in-demand skills on the market.
Artificial Intelligence & Machine Learning (AI & MI)
As part of Data Science, Artificial Intelligence & Machine Learning optimise organisation’s processes when collecting data and providing more meaningful insights. AI & MI are one of the biggest areas in Data Transformation, with in-demand roles such as:
- Data Scientist
- AI Specialist
- Machine Learning Engineer
Professionals specialising in this area may build intelligent systems with high-level algorithms predicting, problem-solving, decision-making and mimic human reasoning.
Data Engineering
Data Engineers have a responsibility in building suitable systems or suites to transform datasets for insight and analysis. This could be building on-premise Datawarehouse, or streaming data pipelines as well as the optimisation, testing and maintenance of such systems.
Whilst organisations explore digitalisation and data transformation, there is an increased demand of Data Engineers with skills in cloud platforms, such as AWS and Azure.
Within the Data team, Data Engineers may also collaborate with Data Integration Engineers to administer, test and modify computer databases.
Data Analytics
Data analytics provides organisations with further performance insights to carry out effective decision making. Data Analysts will provide regular reports, identifying data patterns and trends, helping stakeholders understand what the data is showing and where areas of improvements could be.
Data Analyst skillsets surround business intelligence, practically using data visualisation tools (i.e. Tableau, Excel and Power BI), data modelling or statistical analysis to interpret data.
Data Protection, Data Governance & Quality
Organisations are required to follow data protection policies, to not only protect the privacy of their data, but also the data of their staff, customers and providers. Governance action these policies, where organisations will follow suitable procedures in collecting, storing, using and disposing data.
Organisations will have key officers who will oversee the organisation aligning with these polices. These roles are increasing in demand:
- Data Protection Officer
- GDPR Officer
Acting as subject matter experts, they will implement procedures and provide training to ensure data governance.
Top tips for a career in Data & Analytics
Expert advice from, Asia Managing Director, Peter Barker
Master and enhance the fundamentals (Data Certifications)
Developing skills in statistics, mathematics and programming languages is not enough. To stand out from other data professionals, consider pursuing advanced degrees or certifications to boost your chances of being hired. By achieving certifications, it will enhance specialist knowledge and showcase dedication in proactive learning.
As a huge bonus, certificates will also increase the likeliness of promotions and increment in salary when you advance your career forward.
Bring data into your day-to-day life
If you are passionate about data and motivated towards learning more, consider putting time into side projects or building a portfolio. This can be an easy task, if you implement time into an area that's of personal interest or something related to the field you currently work in.
By including everything in the data stack from visualization, modelling as well as data engineering, you will demonstrate your interests and make your profile (i.e. LinkedIn, GitHub) more fruitful to future Hiring Managers.
Immerse yourself in the data community
Networking allows you to exhibit your professional expertise, by connecting with Data professionals or Recruiters in your specialist field, attending conferences & industry events and engage in online forums. Learn more about current and future job prospects, new fields or get inspired by business leaders. If you also knowledge share whilst networking, you can attract employers or Recruiters, making a lasting impression in the Data community.