Remote Data Analyst — Insights & Dashboards

Spait Infotech; Toronto; Remote; CAD 65,000 - 90,000; Full time

Benefits offered by this job

Remote work (Canada)

Benefits

Competitive salary

Job summary

Spait Infotech in Toronto, Canada is hiring a Data Analyst to interpret data, build dashboards, and provide regular reports to support business decisions. The role is remote with Canada-based eligibility and full-time hours aligned with EST.

The ideal candidate has 2–5 years of experience, strong SQL/Excel and Power BI/Tableau skills, and experience with data warehousing and ETL tools. Excellent communication and problem-solving abilities are essential.

Qualifications

• Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field.
• 2–5 years of experience as a Data Analyst or BI Analyst.
• Strong proficiency in SQL, Excel, Power BI/Tableau, and Python (preferred).
• Experience with data warehousing and ETL tools.
• Excellent analytical thinking and problem-solving skills.
• Strong communication and presentation abilities.

Responsibilities

• Collect, clean, and validate large data sets from multiple sources.
• Develop and maintain dashboards, reports, and data visualizations using Power BI or Tableau.
• Identify trends, patterns, and insights to drive business growth.
• Collaborate with cross-functional teams to understand data needs.
• Support predictive and prescriptive modeling initiatives.
• Ensure data accuracy, integrity, and security across all systems.

Skills

Analytical thinking

Problem-solving

Communication

Presentation

Education

Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field

Tools

SQL

Excel

Power BI

Tableau

Python

ETL tools

Data warehousing

Job description

Spait Infotech in Toronto, Canada is hiring a Data Analyst to interpret data, build dashboards, and provide regular reports to support business decisions. The role is remote with Canada-based eligibility and full-time hours aligned with EST.

The ideal candidate has 2–5 years of experience, strong SQL/Excel and Power BI/Tableau skills, and experience with data warehousing and ETL tools. Excellent communication and problem-solving abilities are essential.