Description:
NearSource Technologies is seeking a skilled Senior Data Analyst to support enterprise-scale data engineering and analytics initiatives for a Fortune 500 product company. This hybrid role, based in Toronto, Canada (with 3 days remote work per week), is ideal for a data professional who thrives in high-impact environments, is detail-oriented, and excels at deriving actionable insights from complex datasets.
The selected candidate will play a pivotal role in optimizing data operations, building scalable pipelines, and enhancing automated marketing campaigns through data-driven decision-making. This opportunity provides a dynamic environment for someone passionate about data analytics, cloud platforms, and large-scale infrastructure development.
Design, build, and maintain scalable ETL pipelines and complex data models aligned with business objectives
Ensure data integrity, quality, and validation across systems and workflows
Analyze large datasets to identify patterns of non-compliance or misuse
Optimize data infrastructure to support automated campaign execution and performance tracking
Work with stakeholders to deliver insightful analytics and campaign strategies
Improve system performance and scalability for high-volume campaign workflows
Minimum 5+ years of experience in data analytics and engineering
Expertise in Python, advanced SQL, and Spark
Strong experience with AWS, Airflow, Git, Snowflake, and DBT
Familiarity with Salesforce and Adobe Analytics
Proficient in BI tools and Excel
Bachelor's or Master's in Computer Science, Statistics, Mathematics, or a related field
Excellent communication skills, strong business acumen, and stakeholder management
Analytical mindset with a solid track record of data-driven decision making
Experience with Power BI dashboards
Exposure to Data Science, Machine Learning, or MLOps environments
Relevant technical certifications are an added advantage
| Organization | Near Source Technologies |
| Industry | IT / Telecom / Software Jobs |
| Occupational Category | Senior Data Analyst |
| Job Location | Toronto,Canada |
| Shift Type | Morning |
| Job Type | Full Time |
| Gender | No Preference |
| Career Level | Experienced Professional |
| Experience | 5 Years |
| Posted at | 2025-07-20 5:55 pm |
| Expires on | 2026-03-02 |