Senior Data Analyst

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Job Title: Senior Data AnalystJob Requisition ID: 88797Ministry: Transportation and Economic Corridors
Location: EdmontonFull or Part-Time: Full TimeHours of Work: 36.25 hours per week
Permanent/Temporary/Wage: Permanent (2 positions)Scope: Open CompetitionClosing Date: November 13, 2026
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 career opportunities.
Alberta Transportation and Economic Corridors (TEC) serve as a North American leader in transportation systems, contributing to Alberta’s prosperity through safe, innovative, and sustainable infrastructure. Alberta Transportation and Economic Corridors (TEC) offers a rewarding environment with growth opportunities, work-life balance, and the chance to make an impact on Alberta’s transportation network.
Role ResponsibilitiesThis position reports to the Manager, Data and Analytics within the Modernization and Business Intelligence unit of Motor Vehicle Modernization branch of Traffic Safety Services (TSS) division of Transportation and Economic Corridors (TEC). The Senior Data Analyst leads the analysis of complex traffic safety datasets and extracts key insights and interpretations to drive evidence-based policy and business decision making.
The primary responsibilities for the Senior Data Analyst, include, but are not limited to:Advanced Data Analysis and Comprehension
Lead complex data analysis projects by applying advanced statistical methods and techniques to extract actionable insights.
Identify emerging trends or patterns in traffic safety data and investigate contributing factors to help inform policy decisions.
Strategic Data Reporting and Dashboards
Design, develop, and maintain advanced reporting systems and interactive dashboards that support performance measurement, program evaluation, and decision-making.
Ensure that reports and dashboards provide real-time, actionable insights, are user-friendly, and align with departmental goals and outcomes.
Predictive and Prescriptive Analytics
Utilize predictive modeling, machine learning, natural language processing techniques and other advanced analytical techniques to forecast future trends, assess risks, and develop prescriptive recommendations.
Lead initiatives that leverage data analytics to optimize program delivery and improve service outcomes within Traffic Safety Services operations.
Data Governance and Standards
Lead the implementation of data governance frameworks, ensuring data is accurate, reliable, and consistent across government systems.
Develop and enforce best practices for data quality assurance, ensuring data integrity, security, and privacy across all analytical initiatives.
Policy Development and Evaluation
Provide data-driven insights to inform the development of policies, regulations, and strategic initiatives.
Participate in government working groups and committees, providing expert level analytical support to evaluate the effectiveness and impact of traffic safety programs using rigorous data analysis methods, recommending improvements based on findings.
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.
To effectively fulfill the responsibilities of this role, the following competencies are essential:
Develop Networks
- Actively develops connections and influences others through the course of their duties.
Systems Thinking
- Senior Data Analyst has a well-rounded and deep understanding of Alberta Transportation and Economic Corridors (TECs) 48 technology applications and the data sets within each and the interrelationships between the data sets.
Creative Problem Solving
- Develops compelling insights and recommendations through creative storytelling and data visuals that meet the needs of non-technical senior leaders.
Develop Self and Others
- The Senior Data Analyst takes a lifelong learning approach to data analysis and learns new techniques and data analysis software as it becomes available.
QualificationsMinimum Recruitment Standards
University graduation in Economics, Mathematics, Data Science, Statistics, Computer Science, Business Intelligence, Analytics or a related field plus 4 years progressively responsible related experience;
or equivalent as described below;
Equivalency: Directly related education or experience considered based on:
1 year of education for 1 year of experience;
or
1 year of experience for 1 year of education.
For application consideration, you must attach a cover letter explaining your qualification and suitability for this role.
Assets :
Master’s degree preferred. Strong project management skills, including managing resources, timelines, and deliverables across multiple teams and departments.
Proficiency in advanced data visualization tools and reporting platforms (e.G., Power BI, Tableau) to create interactive dashboards and reports.
Expertise in statistical Modeling, regression analysis, time series forecasting, Clustering, and multivariate analysis. Proficiency in applying machine learning algorithms and advanced analytics techniques (e.G., supervised/unsupervised learning) to solve complex problems.
Expertise in SQL for querying, analyzing, and manipulating large datasets from relational databases. Proficiency in using programming languages for data analysis (e.G., Python or R).
Strong ability to use visualization techniques to communicate insights clearly and effectively to senior leadership and external stakeholders. (written and verbal).
Ability to interpret and present complex, actionable insights and analytical results (via visualizations, written reports and KPIs) to both technical and non-technical stakeholders.
Strong experience with data quality management, including data cleansing, validation, cataloging, and monitoring for data integrity.
Proven ability to manage complex data projects from inception to completion, ensuring timely delivery, quality control, and alignment with business objectives.
Strong knowledge of data management principles, including data governance, metadata management, and data integration across varied sources (e.G. databases, APIs).
Deep understanding of data governance frameworks and best practices, ensuring data privacy, security, and compliance with relevant legislation and regulation such as the;
Access to Information Act (ATIA), the Protection of Privacy Act (POPA) and the Access to Motor Vehicle Information Regulation (AMVIR).
Hours of work: 7.25 hours daily, 36.25 hours per week.
Location: Edmonton, Alberta.
Number of Positions: 2 Full Time, Permanent.
Final candidates will be required to undergo a criminal records check (CRC).
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 we have to offer:
Positive workplace culture and work-life balance.
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