Senior Data Analyst (Python, PySpark, Power BI) (Toronto)
$60 - $65 per hourNearSource
Senior Data Analyst (Python, PySpark, Power BI)
Location: Hybrid - Toronto, Canada | Experience: 5 to 10 Years | Rate: 60 to 65 CAD PH
Role Summary
Near Source is looking for a Senior Data Analyst to drive data‑driven decision‑making for enterprise‑scale platforms. The role involves advanced analytics, scalable data processing, and business intelligence development in collaboration with cross‑functional teams.
Key Responsibilities
- Drive end‑to‑end data analysis to support strategic business decisions
- Design and execute scalable data processing workflows using PySpark and SQL
- Develop and maintain interactive dashboards using Power BI and Looker
- Translate business requirements into analytical solutions and data models
- Perform deep‑dive analysis to identify trends, patterns, and actionable insights
- Collaborate with cross‑functional teams to deliver data‑driven product enhancements
- Ensure data quality, integrity, and consistency across systems
- Independently lead analytics initiatives with minimal supervision
Must‑Have Skills
- 5+ years of experience in data analysis roles
- Proficient in Python, PySpark, and Snowflake SQL
- Strong expertise in BI tools, including Power BI and Looker
- Solid understanding of databases and query optimization (Hive, Snowflake, Presto)
- Proven ability to solve complex problems using data‑driven approaches
- Strong communication skills for requirement gathering and stakeholder alignment
- Experience translating business needs into analytical solutions
Nice‑to‑Have Skills
- Experience with data mining techniques, including supervised and unsupervised learning
- Hands‑on experience debugging and analyzing data using Spark or PySpark
- Familiarity with workflow orchestration tools such as Airflow
- Ability to work effectively in cross‑functional, matrixed environments
Equal Opportunity Statement
Near Source is an equal opportunity employer committed to fostering an inclusive and respectful environment. We celebrate diversity and do not discriminate based on race, gender, religion, sexual orientation, age, disability, or background.
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