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Research Data Analyst

Date: May 4, 2015
Reports to (Job Title): Dr. John Hirdes
Jobs Reporting (Job Titles): Jobs Reporting
Department: School of Public Health & Health Systems


Main Campus


35 hr/wk

Primary Purpose

This position facilitates the migration of data, prepares and analyzes large and complex interRAI data sets, and functions as a key member of several project research teams.

Key Accountabilities:





Position Requirements


Master’s degree in health sciences or a related field or equivalent education/experience.


Several years’ experience in data management and analytics.  Experience in health behaviour or social science research. The ability to think critically and analytically, drawing upon a sound basis of health science education and experience. It requires an understanding of and the ability to conduct univariate and multi-variable statistical analyses of large, complex, cross-sectional and longitudinal data sets. Experience with SAS, ACCESS, and Excel is essential. The ability to manage the analyses of several large and small projects involving various combinations of investigators and staff. Knowledge of pharmacoepidemiological principles and applications.


Advanced knowledge of SAS. Advanced knowledge of interRAI series of assessment instruments and their applications. This includes outcome measures, quality indicators, care planning protocol and case-mix systems associated with interRAI instruments. Demonstrated ability to plan and implement research projects. 


MS Word Excel PowerPoint Other
Proficient (track changes, compare and merge files, table management, footnotes, technical documentation) Advanced (macros, pivot tables, v/h lookups, scenarios, if and sum if statements Proficient (creation of multi-level lists, charts, images, creation of master slides and dynamic presentations) Advanced SAS, SQL, Publisher, RefWorks, ACCESS

Nature and Scope

Interpersonal Skills:

Excellent written and verbal communication skills, decision-making, organization, time management, and the ability to liaise effectively both externally and internally. Communicates with employees in all groups and at all levels to support all data analysis, cleansing and reporting. Strong interpersonal skills and data gathering skills are required. Ability to work independently and as a member of a team. Must be detail oriented, able to handle multiple tasks, and adapt quickly to changing needs of the business to meet deadlines.

Level of Responsibility:

Work closely with the Supervisor and Data Manager, staff and students to develop, implement and maintain data quality tools and processes, data analysis, cleansing and reporting. Contribute by making presentations at scientific meetings and participating in writing scientific papers.

Decision-Making Authority:

Maintain master data policies and procedures to ensure data meets quality targets. Develop and design an audit methodology which quantifies data quality and verifies usability of the data.  Work with IT to determine root cause of data problems and identify requirements to address the problem or implement process improvement initiatives.

Physical and Sensory Demands:

Mainly sedentary. Regularly required to sit, use hands and fingers, speak, and hear. Specific vision abilities include ability to see things at a close distance and ability to adjust focus. Occasionally required to stand, walk, and lift objects that weigh up to 25 pounds.

Working Environment:

Office based, cubicles. Noise level is moderate.