Data Analyst, BCCSU

Work Area: 
Base Site: 
1045 Howe
Temporary Full Time
End Date: 
Aug 31, 2022
Job Category: 
Health Information Management
Management/Non Union
Acute Care Hospital
Mental Health


Reporting to the Associate Director, Research Analytics, the Data Analyst works independently and as a part of a team, collaborating and providing support for BCCSU’s researchers. This position will require liaising closely with Data Team to take part in various projects simultaneously and across all equality categories. The Data Analyst will work on the development and delivery of a pilot database, summarizing Survey questionnaire. The majority of work is done in SAS software, an advanced knowledge of SAS is crucial for the position.

ORGANIZATION: The British Columbia Centre on Substance Use (BCCSU) is the provincial resource for evidence-based information and treatment guidance in the field of addiction. The BCCSU plays an advocacy role for positive and public policy change, reducing stigma, and supporting patients and their families. The BCCSU is committed to conducting and translating leading-edge research into improved addiction care across BC. The BCCSU develops training curricula, program standards, and practice guidelines for delivery throughout BC. The BCCSU builds collaborative networks across regional health authorities, researchers, educators, and care providers, and other allied care professionals across the province to ensure that research and innovation efficiently reach the people they are intended to serve. The administrative core of BCCSU is accountable for enabling the research, translation and practice of the organization through timely, innovative and sound management services. The BCCSU values and respects all members of its communities, each of whom individually and collaboratively contribute to transforming care, education, training, and research in this area.


Demonstrated high proficiency with SAS software.
Demonstrated ability to work with relational databases, large data sets and multiple data sources.
Ability to validate and audit data.
Ability to work under pressure and meet deadlines.
Demonstrated ability working with information systems and data files, including large and complex files: analysing file structure, transforming raw data into finished products.
Ability to self-motivate, with managerial, leadership and project management skills.
Excellent oral and written communication, organizational, multi-tasking and problem-solving skills.
Ability to work independently and within a team environment.
Knowledge of survey data and knowledge of databases such as Oracle and Redcap is desired.
Experience working with clinical data in research settings is desired.


Bachelor’s degree in a relevant field such as Computer Science, Epidemiology, Mathematics, Medical Health Information or an equivalent combination of education training and experience.
Undergraduate or graduate coursework in statistics, data analysis or research methods.
Minimum of two (2) years recent related experience providing data extraction, cleaning and merging plus experience supervising and managing large complex datasets.


Prepares reduced datasets specific to the projects, in SAS.
Merges data and provides linkages from a variety of databases/ data sources, in SAS.
Develops complex SAS macros and scripts, datasets and reports for internal stakeholders.
Evaluates data quality, applications, and functions, makes changes to the output process when necessary.
Contributes to the development of new datasets. Provides improvement in data delivery and presentation.
Engages with relevant staff members during the research process, advising on data structure, restriction and creation of the novel variables.
Monitors records in various databases, updates existing datasets.
Follows protocols maintaining confidentiality as required.
Performs other related duties as required.