Data Analyst

Competition 796

This position is a part of the Non-Academic Staff Association (NASA).

This position has a term length of one year plus a day and offers a comprehensive benefits package which can be viewed on our Benefits Overview page.

Location - Work primarily takes place at North Campus, Edmonton. This role is hybrid with a mix of remote and in-person.

Working at the University of Alberta

The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to more than 14,000 faculty and staff, over 40,000 students and 260,000 alumni worldwide.

Your work will have a meaningful influence on a fascinating cross-section of people — from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.

Working for the Department

The Department of Family Medicine is one of the top schools of family medicine in Canada responsible for educational innovations and research that have been adopted across Canada and internationally. We work hard, but always within an environment of professionalism and respect. Fun is encouraged. As an educational institution, we strongly promote skills and knowledge improvement for our staff, as well as the continuous improvement of our work. Innovation is expected.

Position 

Working under the supervision of the Principal Investigator, the Data Analyst will work on a project in the area of non-dyadic caregiving relationships and the extent to which they may be associated with health service use, using a large population-based survey dataset. The Data Analyst will be responsible for data management, analysis, as well as assisting with the preparation of findings (publications, reports, academic presentations).

Duties 

Data Management and Preparation (25%)

• Clean data by checking for missing responses, recoding where necessary, and similar tasks
• Work with team to create a recoding plan for specific variables and implement the plan
• Link data with other sources using available identifiers
• Manage data files by creating and maintaining an electronic filing system
• Create and update documentation of all data management activities and directory of data files

Quantitative Analysis (60%)

• Assist in creating a data analysis plan
• Perform statistical analysis tasks including basic descriptive and multivariable regression analyses as outlined in the data analysis plan
• Create data visualization materials (generating tables, graphs, charts) for manuscripts and presentations
• Create and maintain documentation of all decisions related to the analyses including a directory of coding files

Dissemination (15%)

• Clearly communicate results verbally and in writing (e.g., data analysis reports)
• Contribute to writing statistical content for manuscripts and conference abstracts
• Establish and maintain good communication and working relationships with project team
• Participate in project meetings

Minimum Qualifications

• Bachelor's degree in biostatistics, epidemiology, health services research, or a related field. Equivalent combinations of education and experience will be considered  Demonstrated experience using a variety of statistical software (e.g., SAS, SPSS) and in advances multivariable modelling techniques 
• Experience creating and refining graphs and figures from data
• Familiar with data security and related issues
• Strong competencies in MS Office software
• Excellent written and verbal communication skills
• Strong interpersonal skills and demonstrated abilities as a team player
• Detail-oriented with strong problem-finding, resolution, and documentation skills
• Excellent organizational and time management skills

Preferred Qualifications

• Expertise using SAS is a definite asset
• Master's degree preferred
• Experience analyzing population-based survey datasets and use of survey weights is an asset (e.g. Canadian Community Health Survey)