Data Analyst (Student Placement)
About The Position
The Data Analyst is an 8-week term position supporting Ottawa Salus through the Canada Summer Jobs Program. Reporting to the Manager of Human Resources, this role supports the organization’s transition to the Provincial Data Set (PDS) and contributes to strengthening data collection, integrity, analysis, and reporting across multiple systems. Working closely with the Quality Improvement to Quality Assurance (QI2QA) Committee, the Data Analyst will gain hands-on experience with real-world data systems in the supportive housing and mental health sector while contributing to meaningful, data-informed decision-making.
Requirements
- Must meet eligibility requirements of the Canada Summer Jobs Program and Ottawa Salus pre-employment requirements
- Currently a post-secondary student or recent graduate in Data Analytics, Statistics, Computer Science, Economics, Public Health, Business/Policy Analytics, a quantitative social science discipline, or a related field
- Strong Excel skills (data cleaning, formulas, pivot tables)
- Strong analytical and critical-thinking skills
- Ability to translate raw data into clear, actionable insights
- Excellent organizational skills and attention to detail
- Ability to learn new software quickly
- Strong communication skills and ability to work independently and collaboratively
Nice To Haves
- Bilingualism (English/French)
- Experience with data analysis tools within the Microsoft suite (e.g., Power BI)
- Comfort working with databases or case management systems (e.g., EMHware, Arcori)
Responsibilities
- Review current data structures and reporting practices to support transition to the Provincial Data Set
- Assess data integrity and identify inconsistencies, missing information, and opportunities for standardization
- Support mapping of existing data fields to Provincial Data Set requirements
- Participate as a member of the QI2QA Committee to support its workplan
- Assist in developing dashboards and visual tools to support data analysis and service improvement
- Review organizational data to identify trends, patterns, and follow-up needs
- Support the development of consistent data-entry guidelines and documentation
- Prepare user guides and training resources to improve data accuracy
- Conduct data quality checks, including identifying duplicates, incomplete entries, and inaccuracies
- Complete other related tasks as assigned
Benefits
- Gain hands-on experience with real-world data systems
- Contribute to meaningful, data-informed decision-making
- Gain hands-on experience
- Contribute to a purpose-driven organization
- Rewarding and meaningful role
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
