Senior Data Analyst

Role Overview

The Senior Data Analyst will analyze complex traffic safety system data to identify trends, patterns, and insights that support evidence-based policy and business decisions. The role will advance business intelligence, develop innovative analytical solutions, and provide data analysis to support strategic planning and traffic safety initiatives.

What You Will Do

The main job responsibilities include leading complex data analysis, interpreting data to inform policy recommendations, developing and maintaining reporting systems, and applying advanced analytical techniques to forecast trends and assess risks.

Why It Might Be a Fit

The ideal candidate will have expertise in statistical modelling, machine learning algorithms, and data management principles, with strong knowledge of data visualization and business intelligence tools.

Requirements

• University graduation in a related field such as Science, Engineering, Business Analytics, etc.
• 4 years progressively responsible related experience
• Expertise in statistical modelling, regression analysis, time-series forecasting, clustering, and multivariate analysis
• Proficiency in applying machine learning algorithms and advanced analytical techniques
• Strong knowledge of data management principles, including data governance, metadata management, and integration of data from diverse sources
• Proficiency in data visualization and business intelligence tools, such as Power BI and Tableau
• Strong understanding of business intelligence, performance measurement frameworks, and decision-support systems
• Comprehensive knowledge of data governance frameworks and best practices
• Strong experience in data quality management, including data cleansing, validation, monitoring, and maintaining data integrity
• Proven ability to lead complex data projects from initiation to completion
• Strong project management capabilities, including coordinating resources, timelines, and deliverables across multiple teams and departments
• Expertise in SQL for querying, analysing, and manipulating large datasets from relational databases
• Proficiency in programming languages for data analysis, such as Python, R, and SAS, and statistical software, including SPSS and Stata

Benefits

• Public Service Pension Plan (PSPP)
• Alberta Public Service Benefit Information
• Professional learning and development
• Positive workplace culture and work-life balance

Tagged as: Data Analysis