Evaluation Services Consultant - Junior

Junior Evaluation Services Consultant

Job Description

Location: Ottawa, ON - Hybrid/Remote, with onsite attendance as required
Contract Duration: 416 working days over approximately 3 years
Contract End Date: December 31, 2029
Compensation: $30-#50/hr; Based on grid alignment
Employment Type: Contract, up to 4 days per week
Language: English
Security Clearance: Reliability Status required
Work Arrangement: Remote work may be permitted using government-issued equipment, subject to approval

About the Opportunity

TAG HR is seeking a Junior Evaluation Services Consultant to support a federal government research and evaluation initiative focused on analyzing quantitative survey data and preparing research materials related to personnel well-being, organizational factors, and workforce retention.

The successful candidate will apply statistical analysis techniques, prepare research reports and presentations, and translate complex data into clear, evidence-based findings and recommendations.

Working with research professionals and project stakeholders, the consultant will contribute to quantitative data analysis, statistical documentation, and the development of materials that support organizational research and decision-making.

Key Responsibilities

Quantitative Data Analysis

• Analyze and interpret quantitative survey data using the Statistical Package for the Social Sciences (SPSS).
• Conduct descriptive, psychometric, and comparative analyses, including correlations and group comparisons.
• Organize, clean, and validate datasets, identify inaccuracies, reverse-code items where required, and calculate scale scores.
• Adjust and weight raw data as required for statistical analysis.
• Process large datasets using the SPSS Complex Samples Module.
• Evaluate statistical assumptions and document violations and corrective measures.

Research Reporting and Data Visualization

• Prepare charts, graphs, tables, and other visual representations of quantitative findings using Microsoft Excel.
• Develop research reports, technical reports, scientific briefs, scientific letters, and presentation materials.
• Communicate research findings, conclusions, and recommendations through clear written documentation.
• Prepare briefing decks and supporting materials for stakeholders.
• Ensure all research outputs are accurate, clearly labelled, and appropriately documented.

Statistical Documentation and Quality Assurance

• Develop and maintain SPSS syntax files documenting statistical analyses.
• Document statistical methodologies, assumptions, limitations, and corrective measures.
• Maintain analytical outputs, datasets, working files, and supporting documentation.
• Ensure reports and deliverables meet established formatting and documentation requirements.
• Prepare written deliverables in accordance with APA 7th edition formatting requirements.

Stakeholder Collaboration

• Participate in project kickoff meetings and consultations with designated project representatives.
• Work with research professionals and subject matter experts as required.
• Incorporate feedback and complete revisions to deliverables.
• Support the preparation of research products as additional survey data becomes available.

Key Deliverables

The consultant will be responsible for producing deliverables that may include:

1. Quantitative Data Analysis: Statistical analyses and research findings prepared for reports and presentations.
2. Data Visualization: Tables, charts, graphs, and supporting files created using Microsoft Excel and related tools.
3. Statistical Documentation: Records of statistical assumptions, violations, and corrective actions.
4. SPSS Syntax Files: Clearly labelled syntax files documenting the analyses performed.
5. Research Reports and Presentations: Written reports, briefing decks, conclusions, and recommendations.
6. Analytical Working Files: Organized datasets, statistical outputs, and supporting documentation.

Mandatory Qualifications

Candidates must demonstrate the following experience and qualifications.

M1 – English Language Proficiency

Ability to communicate effectively in English, both orally and in writing, with minimal errors and without assistance. Candidates must demonstrate the ability to draft documentation and clearly articulate concepts in English.

M2 – Education

A Master's degree in Social Sciences, such as psychology, sociology, public health, or epidemiology, from a recognized Canadian university, or an equivalent credential from an accredited international institution.

A copy of the degree must be included with the application. International credentials must be accompanied by the required Canadian equivalency documentation.

M3 – Security Clearance

Reliability Status is required. All applicable security requirements must be fulfilled by the contract award date.

M4 – Quantitative Analysis Using SPSS

At least 24 months of relevant experience within the last 72 months performing quantitative analyses using SPSS.

Experience must include relevant activities such as:

• Descriptive and psychometric analyses.
• Group comparisons and correlation analyses.
• Data cleaning and reverse coding.
• Calculation of scale scores and data weighting.
• Complex survey data analysis.
• Developing and using SPSS syntax files to conduct and document analyses.

M5 – Research Reports and Data Visualization

At least 24 months of relevant experience within the last 72 months preparing research reports, technical reports, briefing decks, presentations, tables, charts, and graphical displays of quantitative findings using Microsoft Word, Excel, and PowerPoint.

Experience must demonstrate:

• Presenting quantitative findings in reports and presentations.
• Preparing tables, charts, graphs, and other data visualizations.
• Developing findings, conclusions, recommendations, and supporting narrative.
• Preparing briefing materials for management and stakeholders.
• Documenting statistical assumptions and corrective measures, where applicable.
• Maintaining analytical outputs and supporting working files.

M6 – Statistical Methodology and Documentation

At least 24 months of relevant experience within the last 72 months documenting statistical methodologies, assumptions, limitations, and corrective measures arising from quantitative analyses.

Candidates must demonstrate experience evaluating statistical assumptions, identifying violations, applying corrective measures, and documenting findings in reports.

Important:

Candidates must provide a complete résumé and sufficient project details to substantiate their experience. Relevant projects must be supported by the required employer and client references.

Rated / Preferred Experience

Preference will be given to candidates with additional experience in the following areas.

R1 – Advanced Education

• Doctoral studies or a PhD in psychology, sociology, or social sciences.
• Additional graduate-level education in a relevant discipline.

R2 – Quantitative Data Analysis

• Practical experience conducting quantitative analyses using SPSS.
• Experience with means, frequencies, correlations, regressions, analyses of variance, and complex survey data.
• Ability to describe the datasets analyzed, analytical methods used, and insights obtained.

R3 – Qualitative Data Analysis

• Experience analyzing self-report survey data, focus groups, or interviews.
• Theme identification, response coding, and inter-rater reliability analysis.

R4 – Scholarly Research

• Experience conducting literature reviews, environmental scans, or research syntheses.
• Research related to personnel, organizational, health, social science, or military populations.

Technical Environment

The role involves working with:

• IBM SPSS Statistics.
• SPSS Complex Samples Module.
• Microsoft Excel.
• Microsoft Word.
• Microsoft PowerPoint.
• Quantitative survey datasets.
• Statistical syntax and analytical outputs.
• Research reporting and data visualization.
• APA 7th edition formatting.

Work Environment & Contract Details

• Location: Ottawa, Ontario.
• Work Arrangement: Hybrid/remote, subject to approval; onsite attendance may be required at Carling Campus.
• Contract Duration: 416 working days over approximately three years.
• Anticipated End Date: December 31, 2029.
• Level of Effort: Up to four days per week.
• Security: Reliability Status required by contract award.
• Language: English.
• Hours: Normally Monday to Friday, between 8:00 a.m. and 5:00 p.m. Eastern Time, unless otherwise approved.
• Travel: No travel is associated with this requirement.

Government-issued equipment will be provided as required for the performance of the work. Hybrid arrangements are subject to approval.

Ideal Candidate Profile

The ideal candidate is an analytical, detail-oriented research professional with a background in social sciences and practical experience working with survey data and statistical analysis.

They will bring:

• Strong hands-on SPSS experience.
• Knowledge of quantitative research methods and statistical assumptions.
• Experience preparing research reports and data visualizations.
• Excellent written communication and presentation skills.
• The ability to interpret findings and communicate them clearly.
• Strong documentation, organization, and quality assurance skills.
• Experience working with research stakeholders and incorporating feedback.

Candidates with additional qualitative research experience, scholarly research capabilities, and advanced academic credentials will be particularly well suited to this opportunity.