Research and Evaluation Analyst

Research and Evaluation Analyst

Location: Anywhere in Ontario (Remote/Hybrid)

Remuneration: $365/day. 20 Days per month

Contract Duration: June 2027

About CSTEC

The Canadian Skills Training and Employment Coalition (CSTEC) is a national not-for-profit organization that develops innovative workforce solutions to help Canadians build skills and connect to meaningful employment. Working with governments, employers, labour organizations, Indigenous partners, educational institutions, and community organizations, CSTEC designs research-driven programs that strengthen Canada's workforce.

We are seeking a Research and Evaluation Analyst to support the ongoing development of GEAR, CSTEC's workforce assessment and career disposition framework. In addition, this role supports a workforce intelligence initiative that documents and analyzes the human capital of workers affected by industrial change in the Algoma District, using competencies as a tool for economic development and investment attraction. The successful candidate will work with survey, assessment, and occupational data, helping transform raw information into meaningful insights that improve decision-making and participant outcomes.

Position Summary

Reporting to the research team, the Research and Evaluation Analyst will be responsible for preparing, analyzing, and summarizing assessment and survey data. This role requires someone who enjoys working with large datasets, identifying meaningful patterns, and communicating findings clearly to both technical and non-technical audiences.

Key Responsibilities

• Clean, validate, and prepare assessment and survey datasets for analysis.
• Handle missing or inconsistent responses, standardize formats, remove duplicate records, and validate data exports.
• Structure raw data into analysis-ready datasets suitable for reporting and research.
• Analyze Likert-scale and other rated-response survey data.
• Produce descriptive statistics including frequencies, distributions, averages, percentages, and measures of variation.
• Identify trends, patterns, relationships, and common themes across participant groups.
• Build and enrich occupational datasets by cross-referencing workforce and job-task information with Statistics Canada's NOC, O*NET, OaSIS, and other occupational taxonomies.
• Analyze skills and competency clusters to identify transferability pathways between affected occupations and adjacent, in-demand roles in other sectors.
• Prepare concise written summaries, tables, charts, and visualizations that communicate findings clearly.
• Develop dashboards and reports using Microsoft Excel, Google Sheets, and other analytical tools.
• Ensure data confidentiality through appropriate anonymization and quality assurance procedures.
• Support the ongoing refinement and validation of the GEAR assessment framework.
• Collaborate with researchers and project staff on evaluation, reporting, and continuous improvement initiatives.
• Support the development of the public-facing interactive workforce dashboard, including data structuring, validation, and content updates.
• Contribute to final reports and other produced materials.
• Support engagement with partners by preparing data and materials for consultation and review.
• Perform other related duties as assigned.

Required Qualifications

• Degree or diploma in Statistics, Psychology, Sociology, Economics, Data Analytics, Research Methods, Public Policy, Labour Studies, or another related discipline.
• Experience cleaning and preparing survey or assessment datasets.
• Experience working with Likert-scale or other rated-response data.
• Strong analytical and problem-solving skills.
• Advanced Microsoft Excel or Google Sheets skills, including pivot tables, lookups, formulas, and filtering.
• Ability to summarize statistical findings in clear, concise written language.
• Excellent attention to detail and commitment to data quality.
• Understanding of privacy, confidentiality, and data anonymization practices.

Preferred Qualifications (Assets)

• Experience working with labour market information, occupational classifications, or workforce datasets.
• Familiarity with O*NET, the National Occupational Classification (NOC), or similar occupational taxonomies.
• Understanding of survey design, psychometrics, or assessment development.
• Basic knowledge of scale reliability, scoring methodologies, or validation techniques.
• Experience using statistical software such as SPSS, R, or Python.
• Experience conducting applied research within education, workforce development, or the non-profit sector.
• Experience building or contributing to interactive dashboards (e.g., Power BI, Tableau, or similar tools) for public-facing or stakeholder audiences.
• Familiarity with skilled trades, apprenticeship, or manufacturing/industrial sector occupations.

Occasional travel may be required to attend meetings, conferences, or project activities.

Diversity, Equity and Inclusion

CSTEC is committed to fostering an inclusive workplace where diversity is valued and respected. We are an equal opportunity employer and encourage applications from qualified individuals of all backgrounds, including women, Indigenous Peoples, persons with disabilities, members of racialized communities, members of the 2SLGBTQI+ community, and other equity-deserving groups.

Accommodation is available throughout the recruitment process in accordance with applicable accessibility legislation. Applicants requiring accommodation are encouraged to identify their needs at any stage of the hiring process.

We thank all applicants for their interest. Only those selected for an interview will be contacted.