Research and Data Analyst (MAII)

Connect with us!

LinkedIn

Facebook

• University Degree in Computer Science Applied Statistics Operations Research/Management Science or Management Information Systems
• Minimum of four (4) years of directly related experience in advanced analytics machine learning statistical analysis and data visualization

Assets:

• Masters Degree in a related quantitative or technical field
• Experience in data warehouse management cloud data services machine learning and process automation
• Hands-on experience with Geographical Information Systems (GIS) tools like ESRI ArcGIS or FME for spatial data analysis

Skills required for success:

• Advanced proficiency in relational databases (Oracle MS SQL Server) and cloud data platforms (e.g. BigQuery Snowflake Databricks)
• Strong technical skills in Python SQL KNIME R Tableau and Google Applications
• Proven capability to improve workflows automate manual processes and build self-serve analytics tools
• Strong project management skills with the ability to balance competing priorities under tight deadlines
• Excellent written and verbal communication skills including the ability to translate complex data into clear insights for leadership
• Strong critical thinking problem-solving and consensus-building capabilities
• Alignment to our Cultural Commitments and Leadership Competencies ( a culture of equity diversity reconciliation and inclusion

The City of Edmonton values applicants with a diverse range of skills experiences and competencies and encourages you to apply. We strive to provide reasonable access and accommodations throughout the recruitment process. To request an accommodation please contact . Learn more about our benefits to 1 permanent full-time position

Hours of Work: 33.75 hours per week

Salary Range: $51.611 - $65.218 (hourly) $90925.680 - $114897.810 (Annually)

Recruitment Consultant: AG/SO

Edmonton rests in the heart of Treaty Six territory in Alberta and the homelands of the Métis Nation

Driven by data and passionate about shaping the future of public transit Edmonton Transit Service (ETS) is seeking a skilled and innovative Data Analytics Specialist to help guide strategic decisions across our transit network! In this role you will lead complex analytical projects build robust data pipelines and craft dynamic dashboards that directly inform leadership and operational strategies. You will work closely with collaborators across the organization to uncover actionable insights streamline processes and drive continuous improvement. If you thrive on converting complex large-scale datasets into smart operational solutions this is your opportunity to make a tangible impact on our citys public transit system.

The Data Analytics Specialist performs advanced professional analytics to support transit planning ridership and operational efficiency across ETS. This position leads data engineering automation and predictive modeling efforts to convert raw operational data into actionable insights for branch leadership. Responsible for developing custom ETL workflows machine learning models and interactive visualization tools the role directly supports data-driven decision-making and strategic planning. Additionally this role manages key analytical reporting for grant programs industry benchmarking and corporate decision-making. Operating with a high degree of independence the specialist addresses complex operational challenges where established solutions may not yet exist.

What will you do

• Lead the end-to-end Extract Transform and Load (ETL) processes from raw data to actionable business insights
• Write custom scripts in SQL and Python to build automated data pipelines and predictive models
• Design and build interactive dashboards and reports using Tableau and other visualization tools to track operational KPIs
• Analyze complex transit dataincluding ridership on-time performance and schedule adherenceto identify operational trends and recommend efficiency improvements
• Develop predictive statistical and behavioral models using supervised and unsupervised machine learning techniques
• Collaborate with IT teams to transition prototype analytical models into production-level solutions
• Prepare data products briefings and technical research support for Council reports and executive presentations
• Ensure data integrity and quality standards across multiple transit data systems while advancing open data initiatives