Data Analyst Job in Canada at Boyd McCoy
Published on CazVidat Boyd McCoy
Apply for the Data Analyst position at Boyd McCoy in Canada. Use SQL, Tableau, and Power BI to support data-driven business decisions. Remote eligible.
Salary
CA$75,000 per year
Location
Canada
Employment type
Full time
Workplace
Remote
Data Analyst Job in Canada at Boyd McCoy
CA$75,000 per year
Job description
Boyd McCoy is seeking a highly skilled Data Analyst to join our team in Canada. This role is essential in a data-driven environment, focusing on analytical expertise and proficiency with data tools to support business decisions and strategies.
Key Responsibilities
- Perform data analysis using SQL to extract, clean, and manipulate data from multiple sources.
- Create and maintain data visualizations with tools such as Tableau or Power BI to effectively present insights.
- Collaborate with cross-functional teams to understand data needs and deliver analytical solutions.
- Conduct regular data quality checks to ensure data accuracy and integrity.
- Develop and implement metrics to measure the success of data projects.
- Communicate findings to stakeholders and provide actionable recommendations.
- Participate in project meetings and contribute to data strategy discussions.
Required and Preferred Qualifications
- Bachelor's degree in Data Science, Statistics, or a related field.
- Proficiency in SQL for data querying and manipulation.
- Experience with data visualization tools such as Tableau or Power BI.
- Strong analytical skills with the ability to interpret complex datasets.
- Relevant certifications in data analytics or related fields are preferred.
- 2-4 years of experience in a data analytics role is desired.
This full-time position offers remote work eligibility and reports to the Data Analysis Manager. You will work closely with other analysts and department heads in a collaborative team environment to drive data-informed decision-making.
Join Boyd McCoy and leverage your analytical skills to impact organizational success through data-driven strategies.