Senior Parks Data Analyst

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Job Title:

Senior Parks Data Analyst
Job

Requisition
Ministry:

Forestry and Parks

Location:

Edmonton
Full or Part-Time:

Full Time
Hours of Work:
36.25hours per week
Permanent/Temporary/Wage:
Permanent
Scope:

Open Competition
Closing Date:
September 22, 2026
Classification:
Program Services 4
Salary: ($3,148.20) to ($4,126.82) bi-weekly ($82,168 - $107,710/year)

The Alberta Public Service works to build a stronger province for current and future generations. We make a difference in the lives of Albertans through rewarding and diverse career opportunities.

Provincial Parks are essential to the quality of life that Albertans enjoy. They conserve our natural landscapes and wildlife habitat and offer a broad range of nature-based outdoor recreational opportunities. Alberta’s parks inspire people to discover, value, protect, and enjoy the natural world and the benefits it provides for current and future generations.

The Senior Parks Data Analyst provides leadership and expertise in data analytics, applied research, data governance and operational reporting within the Parks Division. Working with a high degree of independence, the position develops analytical frameworks, tools, and systems that support evidence-based planning, policy development and decision-making.

• Apply advanced qualitative and quantitative methods to identify trends, patterns, risks and emerging issues across complex datasets.
• Lead social science research, survey programs, program evaluations and applied research initiatives.
• Develop statistical analyses, predictive models and forward-looking insights to support strategic and operational decision-making.
• Clean, integrate, validate and analyze data from multiple sources, including operational, survey, reservation, revenue and external datasets.
• Provide expert advice on research design, sampling, survey methodology, data interpretation and analytical standards.
• Prepare dashboards, reports, briefing materials, presentations and recommendations for senior leaders and other decision-makers.
• Establish data governance frameworks and processes to support data quality, consistency, integrity and appropriate use.
• Design and maintain data systems, automated reporting solutions, standardized forms, workflows and performance-monitoring tools.
• Build analytical capacity across the division by mentoring staff, developing guidance and training resources, and promoting data literacy.
• Collaborate with internal and external partners to ensure analytical products and solutions address divisional priorities and operational requirements.
• Manage multiple data and research initiatives while ensuring methodologies are transparent, reproducible and aligned with recognized standards.

This position may require occasional within-province travel (2-3 times per year).

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.

University graduation in a related field (social sciences, behavioral economics, economics, statistics, data analytics, computer science or a related discipline) plus four years of related experience in advanced data analysis, statistical or predictive modelling, social science research, or the analysis of complex datasets; or equivalent as described below.

Directly related education or experience considered on the basis of: 1 year of education for 1 year of experience; or 1 year of experience for 1 year of education.

• Applying statistical methods such as regression analysis, time-series analysis, correlation analysis, factor analysis, chi-square testing, ANOVA, ANCOVA, MANOVA, and thematic text analysis.
• Developing, validating, and interpreting predictive models or machine-learning solutions.
• Designing and conducting social science research, surveys, program evaluations, and applied research projects.
• Using statistical and analytical software such as SPSS, R, Python, SAS, or similar tools.
• Leading or supporting multiple analytics, research, or information management projects involving diverse stakeholders.
• Translating complex analytical findings into clear, actionable information for technical and non-technical audiences.

• Knowledge of the Alberta Provincial Parks system and its…