Senior Parks Data Analyst

Role Responsibilities

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.

Responsibilities include:

• 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).

The Job Description is provided for Further details on 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.

Qualifications

Education and Experience required: 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.

Equivalency: 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.

Instructions for your Resume:

• Include date ranges (month and year) associated with all education and work experience – we are unable to assess resumes without this information.
• Indicate whether your work experience was casual, part-time or full-time.
• Example: Foreman: Jan 2016 – June 2019 (PT, 3 eight-hour shifts per week).

Other requirements:

• 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.

Assets:

• Knowledge of the Alberta Provincial Parks system and its governance.
• Master's degree or PhD in social sciences, behavioural economics, economics, statistics, data analytics, or a related discipline.
• Experience with survey platforms such as Qualtrics, Survey123, or Opinio.
• Experience with natural language processing, web data analysis, web scraping, data mining, machine learning or other emerging analytical tools and technologies.
• Experience developing performance measurement and monitoring frameworks.
• Knowledge of government reporting requirements, policy environments, accountability frameworks, and audit requirements.

Minimum recruitment standards outline the minimum education and experience required for appointment to a job classification.

Notes

Terms of Employment:

This is a full-time permanent position.
The standard hours of work are 36.25 hours per week.
Final candidates may be required to pass a security screening.

Any costs associated with obtaining required documents/checks as noted will be the responsibility of the candidate. Out-of-province applicants can obtain the required documents/checks from the province they currently reside in.

What we offer:

• Working for the Alberta Public Service
• Public Service Pension Plan (PSPP)  
• Alberta Public Service Benefit Information
• Professional learning and development
• Research Alberta Public Service Careers tool
• Positive workplace culture and work-life balance.