Senior Data Analyst (Data Science and Visualization)

Toronto Business Enterprise.; Toronto; On-site; CAD 125,000 - 150,000; Full time

Job summary

A leading company in Toronto is seeking a Senior Data Analyst to enhance their data science and visualization capabilities. This role involves leading data cleaning, transformation, and analysis to support evidence-based decision-making. The ideal candidate will have a strong background in data analysis, visualization tools, and cloud platforms, contributing to the City’s Enterprise Data Platform.

Qualifications

• Experience with visualization tools like Tableau and PowerBI.
• Proficiency in Python, R, and SQL for data manipulation.
• Knowledge of statistical techniques and web development.

Responsibilities

• Support data-driven decision making through technical expertise.
• Develop reports, dashboards, and data visualizations.
• Build and automate data pipelines and queries.

Skills

Data Analysis

Data Visualization

Cloud Data Analytics

Statistical Techniques

Presentation Skills

Education

Post-secondary education in Statistics, Computer Science, Economics, Engineering, Geography, or Mathematics

Tools

Tableau

PowerBI

AWS

Azure

GCP

SQL

Python

R

Job description

Senior Data Analyst (Data Science and Visualization)

Join to apply for the Senior Data Analyst (Data Science and Visualization) role at City of Toronto

Job ID: 53654

Job Category: Information & Technology

Division & Section: Technology Services, Technology Standardization Delivery

Work Location: Metro Hall, 55 John St, Toronto

Job Type & Duration: Temporary, Full-time, 12 months

Hourly Rate: $50.41 - $55.24

Shift Information: Monday to Friday, 35 hours/week

Affiliation: L79 Full-time

Number of Positions: 1

Posting Period: 15-May-2025 to 29-May-2025

Job Description

Help lead the City of Toronto’s approach to data science and data visualization through work on our enterprise data platform.

In this role, you’ll provide technical support, expertise, and lead data cleaning, transformation, analysis, and visualization to deliver insights and support evidence-based decision making. You’ll work on projects that bring transparency and insights for internal teams and the public via dashboards on toronto.ca.

You’ll join us at an exciting time as we establish a foundation for the City’s Enterprise Data Platform. You’ll be part of the Data Integration and Access team within the Enterprise Data and Artificial Intelligence unit of the Technology Services Division.

With a focus on supporting data analytics projects, you will also be enhancing the capabilities of the City’s Enterprise Data Platform. You’ll work with a team of data modelers, engineers, and visualization specialists to modernize Toronto’s data infrastructure and enable broader insights.

Your responsibilities include data source analysis, reviewing business processes, establishing data pipelines, building dashboards, and implementing solutions using cloud tools.

Opportunities include cross-training in cloud data analytics tools (e.g., AWS Glue, GCP Dataflow, Azure Data Factory), and contributing to the team’s cloud infrastructure and DevOps practices.

Key Responsibilities

• Support data-driven decision making through technical expertise in data analysis techniques.
• Develop reports, dashboards, and data visualizations from various data sources.
• Manage analytical models, prototypes, and proof of concepts.
• Ensure data quality and perform data cleansing.
• Build and automate data pipelines and queries.
• Troubleshoot data issues and support data governance.
• Train stakeholders and present findings.
• Maintain effective stakeholder relationships.
• Develop data documentation and participate in requirement workshops.
• Implement best practices in machine learning, AI, and digital twinning.
• Communicate analysis results and support decision-making processes.

Qualifications

• Post-secondary education in Statistics, Computer Science, Economics, Engineering, Geography, Mathematics, or equivalent experience.
• Experience with visualization tools (Tableau, PowerBI, ArcGIS, R Shiny, web-based tools like D3.js).
• Proficiency in Python, R, SQL for data manipulation.
• Experience with cloud platforms (AWS, Azure, GCP) and data tools (Redshift, BigQuery, Synapse, Glue, Dataflow, Lambda, etc.).
• Knowledge of statistical techniques and web development (HTML, CSS, JavaScript).

Additional Skills

• Strong presentation and technical documentation skills.
• Knowledge of GIS, spatial analysis, machine learning.
• Understanding of DevOps, CI/CD, IaC.
• Analytical skills with structured and unstructured data.
• Excellent interpersonal, problem-solving, and organizational skills.
• Experience with AWS, Salesforce, and Agile methodologies is a plus.

Additional Information

Internal applicants must apply via the City’s internal portal. The City is committed to equity, diversity, and accessibility, providing accommodations upon request.