Job Description:

Job Title: Senior Data Analyst (Python, PySpark, Power BI)
Job Location: Hybrid - Toronto, Canada
Experience: 5 to 10 Years
Rate: 60 to 65 CAD PH

Role Summary: NearSource 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

Apply now, or share your resume with salary expectations at [redacted]. Thank you for considering a career with us! Once you submit your application, our Talent Acquisition team will review your resume thoroughly. If there's a strong match, we'll reach out to discuss your experience, role details, benefits, compensation, and next steps. While we strive for transparency, we may not be able to respond to every applicant due to high volume, but we genuinely appreciate your time and interest.

Required Skills:
• Resume
• Data
• Religion
• Airflow
• Mining
• Intelligence
• Support
• Hive
• Data Processing
• Data Quality
• Development
• Talent Acquisition
• Steps
• Debugging
• Transparency
• Spark
• Data Mining
• Snowflake
• Digital Transformation
• Collaboration
• Analysis
• Salary
• Business Intelligence
• Consulting
• Compensation
• Business Requirements
• Decision-Making
• Optimization
• Analytics
• Communication Skills
• Databases
• Power BI
• Data Analysis
• Software
• Design
• Engineering
• Business
• SQL
• Python
• Communication