Senior Data Analyst

Near Source, Canada

Job Overview

Location

Remote

Salary

CAD 62 - 65 hourly

Employment Type

Full-time

Work Arrangement

Remote

Sector

Data & Analytics

Experience Level

Senior (5-8 years)

Application Deadline

May 2, 2026

About the Company

Near Source, Canada is a forward-thinking organization dedicated to leveraging data for strategic advantage. We are committed to fostering a data-driven culture where insights are translated into actionable strategies that drive business growth and operational excellence. Our team comprises experienced professionals who are passionate about data analytics and its impact on business outcomes.

Job Description

Near Source, Canada is seeking an experienced Senior Data Analyst to join our remote team. You will be responsible for extracting, analyzing, and interpreting complex data to drive informed business decisions.

This role requires a strong command of data analysis tools and techniques, including SQL, Power BI, Looker, Snowflake, Airflow, and Python. Your insights will be crucial in optimizing operations and contributing to the company's strategic goals.

To apply for this role, click the Apply button on this page and follow the instructions.

Required Skills

SQLPower BILookerSnowflakeAirflowPythonStatistical AnalysisData Communication

Key Responsibilities

Minimum of 5 years experience
SQL, Power Bi, Looker, Snowflake
Airflow, Python
Statistical analysis & Data Communication

Qualifications

Minimum of 5 years of experience in data analysis
Proficiency in SQL, Power BI, Looker, and Snowflake
Experience with Airflow and Python
Strong statistical analysis and data communication skills

How to Apply

Send your resume to careers@nearsource.ca

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In the data-driven landscape of Canada, advanced analytics are crucial for informed decision-making and strategic growth. This role demands a seasoned Senior Data Analyst with extensive experience in SQL, Power BI, Looker, and Snowflake. Proficiency in Airflow, Python, and statistical analysis is essential for extracting actionable insights. The impact of this position is significant, driving business intelligence and optimizing operations through sophisticated data interpretation.