Senior Data Analyst

Government of Alberta•Edmonton, AB

5d•CA$81,853 - CA$107,297•Onsite

About The Position

Alberta Transportation and Economic Corridors (TEC) is a centre of excellence for transportation in North America. We contribute to Alberta's prosperity and quality of life by providing and supporting a safe, innovative and sustainable provincial transportation system and water management infrastructure. With Alberta Transportation and Economic Corridors, you can engage in a fulfilling career with diverse room to grow. We believe in building careers, providing opportunities for growth within the organization, and striving to provide our staff with a work-life balance including reasonable hours of work to ensure time with family and to accommodate outside interests. The ministry promotes a vital and diverse economy by: Managing transportation safety. Supporting municipalities with public transportation and water/wastewater facilities. Expanding and enhancing a well-integrated transportation system and enabling market access. Preserving and developing the provincial highway network and water management infrastructure. For more information, visit https://www.alberta.ca/transportation-and-economic-corridors.

Requirements

Proven ability to manage complex data projects from inception to completion, ensuring timely delivery, quality control, and alignment with business objectives.
Strong project management skills, including managing resources, timelines, and deliverables across multiple teams and departments.
In-depth understanding of public sector operations and government program structures, with the ability to tailor data analysis to inform program performance and policy development.
The ability to evaluate the effectiveness of government initiatives, identify gaps, and propose data-driven solutions for improvement.
Excellent written and verbal communication skills, including the ability to present data findings to a wide range of audiences, from technical teams to senior executives and government officials.
Strong interpersonal skills to collaborate with various departments and stakeholders, influencing decision-making through data-driven insights.
Proven leadership ability to mentor and guide junior data analysts, fostering a culture of continuous learning and development.
University graduation in Economics, Mathematics, Data Science, Statistics, Computer Science, Business Intelligence, Analytics or a related field PLUS Four (4) years’ progressively responsible related experience.
Related experience or education (e.g. related diploma) may be considered as an equivalency on a one for one basis.

Nice To Haves

Master’s degree preferred.
Proficiency in advanced data visualization tools and reporting platforms (e.g., Power BI, Tableau) to create interactive dashboards and reports. The hiring team would prefer to see a copy of candidate’s portfolio of previous work/dashboards. (Not mandatory)
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.
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.
Strong knowledge of data management principles, including data governance, metadata management, and data integration across diverse 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).

Responsibilities

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.
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.
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.
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.
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.