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Senior Data Analyst Developer Jobs in Toronto, ON

Capital One

Senior Associate, Data Analyst

Toronto, ON · On-site

161 Bay Street (93021), Canada, Toronto,Toronto, Ontario, Senior Associate, Data Analyst About ... Science, Engineering, Mathematics, Statistics, Economics, Finance or a related discipline. * At ...

Konrad

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

You will work closely with senior analysts, data scientists, engineers, product managers, designers, and business stakeholders across a variety of client engagements. With guidance and mentorship ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Working closely with architects, product teams, analytics stakeholders, and governance teams, the Senior Data Specialist will deliver scalable, reusable, and production-ready data engineering ...

MCKESSON

Senior Data Specialist

Mississauga, ON · Remote

Working closely with architects, product teams, analytics stakeholders, and governance teams, the Senior Data Specialist will deliver scalable, reusable, and production-ready data engineering ...

McKesson

Senior Data Specialist

Mississauga, ON · Remote

Working closely with architects, product teams, analytics stakeholders, and governance teams, the Senior Data Specialist will deliver scalable, reusable, and production-ready data engineering ...

Teranet

Senior Data Governance Analyst

Toronto, ON · On-site

Senior Data Governance Analyst Who We Are Teranet is Canada's leader in the delivery and ... Bachelor's degree in a relevant discipline such as Computer Science, Engineering, Mathematics ...

CorGTA

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month ... Collaborate with Data Engineers, Analytics teams, Product Owners and Business Analysts throughout ...

Omers

Senior Data Engineer

Toronto, ON · On-site

Role Summary The Senior Data Engineer will join the Software Engineering team that leads the ... Strong analytical and troubleshooting skills, with the ability to trace data lineage, investigate ...

Hays

Senior Data Engineer

Toronto, ON · On-site

CA$70 - CA$80/hr

Senior Data Engineer Rate : $60-70/hr T4; $70-80/hr INC Length : 6 months (strong potential for ... Analyze data to uncover patterns, identify issues, and ensure high-quality reporting outputs

Ontario 407

Senior Data Scientist

Woodbridge, ON · On-site

CA$120K - CA$165K/yr

Senior Data Scientist Department: Data Science and Analytics Location: 6300 Steeles Ave West ... A University degree in Engineering, Statistics, Mathematics, or Computer Science. * Graduate degree ...

Omnicom

Data Analyst

Toronto, ON · Hybrid

... senior analysts Help maintain and enhance existing machine learning models, and monitor and analyze ... University Degree in Engineering / Computer Science / Mathematics /Statistics / Engineering ...

Bits In Glass

Sr. Data Engineer

Toronto, ON · Remote

As a Senior Data Engineer, you'll work closely with business stakeholders, data engineers, and analytics teams to design data solutions that align with client goals. Responsibilities: * Design and ...

Bits In Glass

Sr. Data Engineer

Toronto, ON · On-site

As a Senior Data Engineer, you'll work closely with business stakeholders, data engineers, and analytics teams to design data solutions that align with client goals. Responsibilities: * Design and ...

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Senior Data Analyst Developer information

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

What are the key skills and qualifications needed to thrive as a senior data analyst developer?

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are popular job titles related to Senior Data Analyst Developer jobs in Toronto, ON?

For Senior Data Analyst Developer jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Senior Data Analyst Developer jobs in Toronto, ON look for?

The top searched job categories for Senior Data Analyst Developer jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Senior Data Analyst Developer jobs?

Cities near Toronto, ON with the most Senior Data Analyst Developer job openings:

Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Livingston International

Toronto, ON • On-site

Full-time

Posted 12 days ago

Livingston International rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

Job description

Senior Data Engineer 

Join Livingston and grow your career in the constantly changing world of international trade. Livingston is a market leader offering customs brokerage, international trade consulting, compliance and freight forwarding services around the world. Livingston has over 3,000 employees at more than 90 key border crossings, sea ports, airports and other strategic locations in North America, Europe and Asia.  

Our fast-paced and collaborative environment offers you the opportunity to work with leaders in the industry, receive recognition for achievements and develop your expertise in the complex and evolving world of trade. Learn how you can make an impact at Livingston. 

JOB SUMMARY

Livingston moves goods across a complex, high-velocity supply chain, and data is at the heart of how we plan, route, and optimize that movement. We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure that powers logistics operations, transportation analytics, warehouse and inventory visibility, and executive decision-making.

Reporting to the Director, IT, this role is a senior technical anchor within the Data & Analytics function. You'll partner closely with Operations, Supply Chain Planning, Finance, internal IT and Business Intelligence teams to turn high-volume, time-sensitive logistics data into reliable, well-governed and intelligent data products. This is an opportunity to shape data architecture and engineering for a growing organization where data quality and speed directly affect the movement of freight and the customer experience.

KEY DUTIES & RESPONSIBILITIES
  • Design, build, and maintain scalable ETL/ELT pipelines that ingest data from transportation management (TMS), ERP, EDI, and telematics/IoT sources.
  • Architect and optimize data models and data warehouse/lakehouse structures to support reporting, forecasting, advanced analytics and AI.
  • Build and maintain the infrastructure required to support near-real-time visibility into shipments, inventory, and performance.
  • Establish and enforce metadata, data quality, validation, and reconciliation processes across high-volume logistics data feeds.
  • Partner with data analysts, data scientists, and BI developers to ensure data is modeled and delivered in a way that supports self-serve reporting and predictive modeling.
  • Implement and maintain data governance, lineage, security, and access control practices in line with company policy and regulatory requirements.
  • Optimize pipeline performance and cost across cloud data platforms, monitoring for reliability, latency, and scalability as data volumes grow.
  • Collaborate with the Director, IT and cross-functional stakeholders to translate business requirements (e.g., optimization, performance, demand forecasting, Portal integrations, etc.) into technical data solutions.
  • Provide technical mentorship to junior and intermediate data engineers, and contribute to engineering standards, documentation, and code review practices.
  • Support the evaluation and integration of new data tools, platforms, and vendor systems.
  • Participate in on-call rotation and incident response for critical data pipeline issues affecting operational reporting.
  • Be hands-on with data architecture and engineering functions

 

KNOWLEDGE & SKILLS

To perform this job successfully, the person must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, and abilities required. Reasonable accommodations may be made to enable a person with disabilities to perform the essential functions.

  • Strong proficiency in SQL and other programming languages commonly used in data engineering (e.g., Python, Apache).
  • Hands-on experience with modern cloud data platforms (e.g., GCP and / or AWS) and associated data services (e.g., Redshift, BigQuery, Composer, Airflow, Knowledge Catalog, BQ Products, BQ Conversational AI).
  • Experience building and orchestrating pipelines in GCP.
  • Experience in multiple industries, methodologies and architectures
  • Strong experience in organizations that have gone / going through technology transformation
  • Hands-on experience with EDI, APIs, or data integration tools is a strong asset.
  • Working knowledge of streaming/real-time data technologies (e.g., Kafka, Pub/Sub) is required.
  • Strong grasp of data governance, security, and privacy best practices.
  • Excellent communication skills, with the ability to translate technical concepts for non-technical, senior stakeholders.
WORK EXPERIENCE – MINIMUM REQUIRED
EDUCATION
Required: Bachelors Degree or equivalent in Computer Science
CERTIFICATIONS DESCRIPTION
  • Certifications in GCP, Data Architecture and Data Engineering
  • Preferred certifications in AI and CICD

At Livingston, we are committed to fostering a flexible, growth-oriented environment where you can thrive. Our culture is built on respect, recognition, and collaboration, and we empower our team with trusted expertise, continuous learning opportunities, and long-term support. We offer competitive compensation, comprehensive benefits, and a transparent pay philosophy aligned with market data and job-related factors.  

Base salary is one component of our total rewards package which also includes incentive opportunities, benefits, and professional development. Salary ranges are established by location and reflect relevant factors such as skills, experience, and market conditions. The good-faith salary range for this position is 84,455-100,000 USD. Actual compensation will be determined based on these factors and may vary accordingly. 

Diversity, Equity, and Inclusion at Livingston 

We are proud to be an inclusive employer and welcome applications from individuals of all backgrounds, experiences, and perspectives. Inclusiveness makes us stronger and better at what we do.   All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin. 

Livingston is an equal opportunity employer and committed to creating and sustaining an inclusive environment in which all individuals are treated with dignity, respect and one which reflects the diversity of the community in which we operate. Accommodations are available for applicants and employees with disabilities throughout the recruitment process. If you require accommodations for interviews or other meetings, please advise when submitting your application.  

Job Type: Full Time 

Location: ON Toronto - CN030

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