Design and develop database architecture for information systems projects
Design, construct, modify, integrate, implement and test data models and database management systems
Conduct research and provide advice to other informatics professionals regarding the selection, application and implementation of database management tools
Operate database management systems to analyze data and perform data mining analysis
May lead, co-ordinate or supervise other workers in this group.
Average Hourly
$30.32
Range Hourly
$20.10-$37.95
Average Yearly
$59,124
Range Yearly
$39,201- $74,003
Database analysts and data administrators (2172)
Data administrator; Data analyst - informatics and systems; Data custodian; Data dictionary administrator; Data miner; Data mining analyst; Data processing specialist; Data scientist; Data warehouse analyst; Database administrator (DBA); Database analyst; Database architect; Database designer; Database management supervisor - computer systems; Database manager; Electronic data processing (EDP) analyst; Electronic data processing (EDP) specialist; Electronic data processing (EDP) systems analyst; Information resource analyst; Technical architect - database;
Certificate/Diploma courses are required, generally. Advanced skills and experience in programming, Python, R, SQL, STATA, SAS, BI tools (e.g., Tableau, Power BI) etc.
Medium
Employment outlook is good in most provinces. More information is available here.
Without further education, chances to advance in this occupation are limited.
0-1 year training and experience are usually required
Data Analytics - SAIT
Data Science - NAIT
Data Science and Analytics Diploma - University of Calgary
professionalism, maturity and self-confidence
empathy and the ability to reassure patients
the ability to be detail-oriented
the ability to respond quickly and appropriately in emergencies
the ability to work with little direct supervision
the ability to work as part of a team.
Difference between data analysts and data scientists
While data analysts and data scientists both work with data, the main difference lies in what they do with it. Data analysts examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions. Data scientists, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.
Information technology consulting firms
Information technology units throughout the private and public sectors
Universities
Health Services (e.g., AHS)
Pharmaceutical companies
IMGs may start with doing a certificate/diploma course in data analyst. Some institutions may ask for some math, statistics, and computer science courses as prerequisites which can be done from the continuing education route from any universities/colleges.