CANADA SUMMER JOBS - Data Analyst - Informatics and Systems ( Program Analyst {Data Science})
Yonge Street Mission (YSM)Toronto, ON
CA$22/hr
Other
Posted 21 days ago
Job description
We are seeking a Data Analyst - Informatics and Systems ( Program Analyst {Data Science})to support our organization's goals through data analytics and data visualization for 8 weeks (35 hours a week). Working with the Manager of Strategic Initiatives, the successful candidate will be involved in the implementation of a client satisfaction survey as well as the analysis and visualization of YSM's poverty alleviation program outputs and outcomes initially collected primarily in the Salesforce Non-Profit Success Pack.
Please note that this job opening is for Canada Summer Jobs applicants only, who must meet the participant requirements under the Canada Summer Jobs Agreement with the Employment and Social Development Canada as outlined:
- between 15 and 30 years of age (inclusive) at the start of employment;
- a Canadian citizen, permanent resident, or person on whom refugee protection has been conferred under the Immigration and Refugee Protection Act and;
- have a valid Social Insurance Number at the start of employment and be legally entitled to work in Canada in accordance with relevant provincial or territorial legislation and regulations.
Responsibilities:
- Support the development and implementation of a YSM wide client satisfaction survey
- Generate regular and ad-hoc reports, visualizations and dashboard to effectively communicate data driven facts, trends, and insights
- Apply data analysis to break down tactical hypotheses and provide insights and recommendations
- Conduct supplemental analysis as required using CRM Analytics and Excel
- Visit YSM programming onsite to understand the various program reporting needs including: housing, food bank, employment services, vulnerable youth, community development and family services.
Qualifications:
- Post-secondary studies in a field such as: Business Analysis, Quantitative Methods, Statistics or Computer Science
- Strong sense of social and civic responsibility
- Analytical mind and love of problem-solving
- Strong written communication skills
- Ability to tell stories through data
- Knowledge of Salesforce, CRM Analytics (formerly Tableau) and Excel an asset.
Deadline for Application: Until filled
Targeted Start Date:June 15, 2026
Pay: $22.00 an hour
While we appreciate all responses, only candidates under consideration will be contacted.
We welcome and encourage applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.
Please note that this position is for an existing vacancy, and we do not use any form of artificial intelligence (AI) at any stage of the recruitment process. These stages include candidate screening and shortlisting, assessment and selection.
Date Posted:May 7, 2026
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A: To succeed as a Data Analyst, key technical skills include proficiency in programming languages such as Python or R, expertise in data visualization tools like Tableau or Power BI, and knowledge of statistical analysis and machine learning concepts. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial for presenting insights to stakeholders and working with cross-functional teams. By combining these technical and soft skills, Data Analysts can drive business decisions, identify areas for improvement, and contribute to the growth and success of their organization.
Q: What is the career path for a Data Analyst?
A: A Data Analyst's typical career progression involves starting as an Entry-Level Data Analyst, where they collect, analyze, and interpret data to inform business decisions. As they gain experience, they can move into Mid-Level roles such as Senior Data Analyst or Business Analyst, where they take on more complex projects and lead smaller teams. Ultimately, they can advance to Senior Leadership positions like Data Scientist, Data Manager, or even Director of Analytics, where they oversee large-scale data initiatives and drive strategic business growth.\n\nKey opportunities for skill development and professional growth in this role include learning programming languages like Python or R, mastering data visualization tools like Tableau or Power BI, and staying up-to-date with emerging trends in machine learning and artificial intelligence. Additionally, Data Analysts can develop soft skills like communication, project management, and leadership to excel in their roles.\n\nLong-term career prospects for Data Analysts are diverse, with potential directions including transitioning into related fields like Business Intelligence, Data Engineering, or even becoming a Product Manager, or pursuing advanced degrees in Data Science or related fields to further specialize in areas like machine learning or data engineering.
