Data science is a fast-growing employment sector. Job titles could include some of the below.
Note: Some of the jobs listed may require postgraduate study. See the ‘Further study’ section.
Examples:
Data scientist
- Analyses past and current data
- Makes predictions and provides insight
- Acts as a bridge between IT experts and business analysts
Data analyst
- Analyses data and modelling to solve problems
- Gains insight across differing domains and functions
Intelligence advisor
- Ensures a high level of data quality
- Understands industry datasets and processes
- Conducts analysis, monitoring and reporting
- Responds to incidents and resolves problems
Insights analyst
- Deploys surveys and analyses data to help understand patterns and opportunities
- Prepares reports, presentations, new ideas and communicates to stakeholders or clients
- Develops tools, processes and training
Analytics officer
- Oversees analytical operations
- Communicates insights to decision makers
Database coordinator / administrator
- Designs and builds an organisation’s data infrastructure
- Maintains the database
- Provides analytical support to others
Data engineer, big data developer
- Uses coding frameworks and software packages to analyse large datasets
- Extracts and transforms big data efficiently
- Solves complex data engineering problems
Technical / project analyst
- Utilises data and analytical models for technical or project purposes
- Provides insight to help make technical or project decisions
- Liaises with different project personnel
Business analyst
- Utilises data and analytical models for organisational information purposes
- Provides insight to assist with strategic and operational decisions
- Liaises with different business functions
Entrepreneur and CEO
- Develops an idea to form their own business
- Gets involved in a start-up
- Offers their services as a freelancer or consultant
Entrepreneurship and innovation are an increasing part of the working landscape.
Get started with Entrepreneurship here