Data and Research Analyst

Role Responsibilities

Reporting to the Data Scientist, the Data & Research Analyst supports applied research, survey analysis, descriptive analytics, and operational reporting within the Corporate Services Branch of the Police Review Commission (PRC).

This role plays a critical part in enabling the PRC’s evidence-based decision-making by transforming data into actionable insights, maintaining dashboards and pipelines, and supporting transparent, data-driven oversight of Alberta’s police complaints process.

Key Responsibilities: 

•    Conduct quantitative and qualitative analysis of PRC data to inform business decisions, policy development, and reporting.
•    Lead survey design, collection, and analysis; summarize findings for internal and external stakeholders.
•    Develop and maintain dashboards, reports, and visualizations (e.g., Power BI, Excel) to communicate trends and performance metrics.
•    Support data pipeline development, liaising with IT and vendors to ensure data accuracy, quality, and accessibility.
•    Prepare reports, presentations, and briefing materials that clearly communicate findings to technical and non-technical audiences.
•    Apply research methods and evaluation principles to measure program outcomes and performance indicators.
•    Contribute to the PRC’s data governance and data-literacy initiatives by providing training and documentation to colleagues.
•    Assist in identifying and implementing process improvements and automation opportunities in analytics and reporting workflows.

This position contributes directly to the PRC’s mission of ensuring transparent, fair, and effective police oversight by producing reliable data products that support leadership decisions, public accountability, and inter-agency collaboration.

Please click on this link to view the job description for this position.

APS Competencies

Competencies are behaviors that are essential to reach our goals in serving Albertans. We encourage you to have an in depth understanding of the competencies that are required for this opportunity and to be prepared to demonstrate them during the recruitment process.

This link will assist you with understanding competencies: https://www.alberta.ca/system/files/custom_downloaded_images/psc-alberta-public-service-competency-model.pdf.

• Systems Thinking: Recognizes how data, policies, and operational processes interconnect across the justice system; anticipates long-term impacts of data insights on organizational strategy.
• Agility: Adapts to shifting priorities and evolving technologies; maintains focus and composure in fast-paced analytical environments.
• Drive for Results: Balances multiple projects effectively; delivers accurate, timely, and meaningful data products that inform leadership decisions.
• Creative Problem Solving: Applies both quantitative and qualitative approaches to uncover insights, resolve data issues, and recommend innovative solutions.
• Build Collaborative Environments: Works respectfully and effectively with colleagues, IT partners, and external stakeholders to share knowledge and achieve common goals.

Qualifications

Minimum Requirements:

University degree in a related field (e.g., Social Sciences, Data Analysis, Public Policy, Business Administration, or equivalent), plus two years of progressively responsible related experience.

•    Directly related experience or education considered on the basis of one year of experience for one year of education or one year of education for one year of experience.

The following are considered requirements:

•    Experience using Excel, Power BI, and SharePoint, including dashboard/report creation.
•    Experience in quantitative and qualitative research, survey design, and data analysis.
•    Strong understanding of program or policy evaluation methods.
•    Excellent written and verbal communication skills for translating complex data into clear insights. 
•    Demonstrated ability to manage multiple analytics projects and meet deadlines. 

The following are considered assets:

•    Experience with R or Python for statistical analysis or data visualization.
•    Familiarity with data management and ETL/ELT processes, and collaboration with IT or vendor teams.
•    Experience applying Gender-Based Analysis Plus (GBA+) and equity frameworks in policy or research.
•    Understanding of the policing or justice system, particularly oversight processes or case management data.

Minimum recruitment standards outline the minimum education and experience required for appointment to a job classification. Refer to https://www.alberta.ca/alberta-public-service-minimum-recruitment-standards.

Notes

•    There is one (1) permanent, full-time position is available.
•    Location: Edmonton or Calgary.
•    Hours of Work: 36.25 hours per week (Monday–Friday, 8:15 am – 4:30 pm)

Other Application Information:

•    Please include a cover letter outlining how your education and skills align with the role.
•    Final candidates may be required to undergo a written test demonstrating writing skills and abilities pre or post interviews.
•    This position will require final candidates to undergo a fingerprint-based security clearance.
•    Any costs associated with obtaining the required documents/checks as noted or interview travel expenses, will be the responsibility of the candidate. Out-of-province applicants can obtain the required documents/checks from the province they currently reside in.

Links and information on what the GoA have to offer to prospective employees.

•    Working for the Alberta Public Service - https://www.alberta.ca/advantages-working-for-alberta-public-service.aspx
•    Public Service Pension Plan (PSPP) - https://www.pspp.ca
•    Alberta Public Service Benefit Information - https://www.alberta.ca/alberta-public-service-benefits
•    Professional learning and development - https://www.alberta.ca/professional-development-support-directive
•    Research Alberta Public Service Careers tool – https://researchapscareers.alberta.ca
•    Positive workplace culture and work-life balance.
•    Opportunity to participate in flexible work arrangements such as working from home up to two days per week and modified work schedule agreement.
•    Leadership and mentorship programs.