Senior Data Analyst (Contract)

ONTARIO ASSOCIATION OF CHILDRENS AID SOCIETIES•Toronto, ON

4d•CA$89,068 - CA$111,378•Onsite

About The Position

The Ontario Association of Children’s Aid Societies (OACAS) is seeking a Senior Data Analyst to support their mission of improving outcomes for children, youth, and families. This role will provide data-driven insights for policy development, program evaluation, and strategic planning within the child welfare sector. The Senior Data Analyst will serve as the primary expert for planning, designing, collecting, conducting, and reporting research and data analysis. This information will inform the planning, implementation, and outcomes of child welfare programs and services for both internal and external stakeholders. The position involves collaborating with senior leadership and cross-functional teams to identify trends and translate data into actionable organizational strategies. OACAS encourages individuals who self-identify as belonging to Indigenous, Black, racialized, and 2SLGBTQ+ communities to apply, to better address the specific needs of these groups within the child welfare system.

Requirements

Bachelor’s degree in Business Analytics, Public Policy, Business Administration, or a related discipline; OR An equivalent combination of education and experience that provides the required knowledge, skills, and abilities to successfully perform the job's essential duties.
A minimum of 5 years of experience with strong background in research, statistical and data analysis, quality assurance, and information systems, particularly research with and on behalf of marginalized communities, is highly desirable.
Understanding of child welfare policies, programs, and services to contextualize data analysis within the sector.
Familiarity with relevant regulations, policies, and standards (e.g., Child, Youth and Family Services Act, An Act Respecting First Nations, Inuit and Métis Children, Youth and Families).
Knowledge of the Child Protection Information Network (CPIN), Cognos, Transfer Payment Ontario, Ministry Quarterly reports, and the child welfare outcomes and indicators.
Knowledge of database management systems (Python, SQL, Excel Spreadsheet, data libraries, etc.)
Ability to create clear and informative visualizations using tools like Tableau, Power BI, or similar software.
Proficiency in the full suite of Microsoft Office products.
Understanding of interlocking systems of oppression in Ontario and the ways that these systems sustain inequities experienced by marginalized communities.
Knowledge and understanding of past and current exploitations within research that have led to mistrust between marginalized communities and researchers.
Knowledge of foundational equity documents in the child welfare sector (e.g., OVOV Race Equity Practices, 2SLGBTQ+ Organizational Self-Assessment Report).
Knowledge of OCAP® and Indigenous data sovereignty.
Expertise in anchoring the perspectives, voices, and cultures of communities historically most excluded, misrepresented, and disadvantaged during research.
Expertise in designing, conducting, and analyzing quantitative, qualitative, and mixed-method research studies.
Ability to synthesize complex information and generate actionable insights.
Continuously seek ways to improve data collection methods and analysis processes.
Proficiency in statistical analysis methods and tools for data analysis.
Skilled in interpreting statistical results to support decision-making processes.
Ability to assist in the evaluation of child welfare programs and initiatives by analyzing program data and measuring outcomes.
Skills in data cleaning, preparation, and management to ensure data integrity and accuracy.
Proficient in identifying quality improvement processes, methods, and systems.
Ability to utilize a best practices approach and evidence-informed decision making.
Strong analytical and issues management skills to analyze problems, identify options, recommend solutions, and draft clear, concise plans.
Strong analytical and problem-solving abilities to interpret complex data sets and derive actionable insights.
Ability to critically evaluate information and make sound judgments based on data.
Excellent interpersonal, teamwork, listening, and oral communication skills.
Ability to build and maintain strong working relationships with teammates, colleagues in other departments, member agencies, and media.
Proficiency in writing clear and concise reports to communicate findings to stakeholders.
Ability to present data and insights effectively to both technical and non-technical audiences.
Attention to detail to ensure accuracy in data analysis and reporting.
Ability to adapt to changing priorities and work in a dynamic environment.
Awareness of ethical considerations in handling sensitive data related to child welfare.
Ability to take initiative and creatively identify and execute data analysis opportunities.
Ability and willingness to engage in self-reflection to understand how positionalities, values, and worldviews can influence research processes, including data gathering and analysis.
Demonstrate professionalism and composure under pressure.

Nice To Haves

Bilingual English/French

Responsibilities

Contribute to the development and implementation of tools that help identify potential disparities and opportunities for the disruption of oppression within Ontario’s child welfare system.
Contribute to the development of an evaluation framework for measuring the effectiveness and integration of frameworks and tools developed to address disparity and disproportionality, including data collection, analysis, reporting, and recommendations for continuous improvement projects to support over-represented communities in the child welfare sector in Ontario.
Use data equity knowledge and an ethical, identity-focused, culturally relevant, culturally responsive, trauma-informed lens to analyze and synthesize data, supporting beneficence and non-maleficence towards marginalized communities.
Support the critical review of existing child welfare practice frameworks and tools (e.g., Child Protection Standards, the Ontario Practice Model, the Eligibility Spectrum, associated assessment and supplementary tools, etc.) using an equity lens and make recommendations for better practice.
Analyze complex datasets to identify patterns, trends, and insights that support the Association’s business strategy and operations.
Collect, interpret, and analyze program data and performance measures to provide insights, trends and patterns.
Ensure data integrity, accuracy, and security, adhering to privacy and confidentiality regulations.
Track interactions with agencies and stakeholder groups to facilitate reporting and accountability.
Prepare provincial reports and presentations of findings and recommendations using various formats (written, graphs, pictures, infographics) targeted to specific audiences for dissemination to the field and the public.
Process and distill information from research, scientific data, trend analyses, and independent research to identify and address issues.
Participate in cross-functional, cross-departmental OACAS projects to enhance organizational performance.
Conduct environmental scans and identify emerging issues.
Perform other duties as assigned.