Data analyst Offres d'emploi - St. Albert, AB

Experience Level: Entry-Level (0-2 Years)

Job Type: Full-Time

Work Arrangement: Remote

Industry: Information Technology / Business Analytics

About the Role

We are seeking a detail-oriented and analytical Business Data Analyst to join our team in Toronto, Ontario. This entry-level opportunity is ideal for candidates who are passionate about working with data, identifying business trends, and supporting data-driven decision-making.

The successful candidate will work closely with business stakeholders, analysts, and cross-functional teams to collect, analyze, interpret, and present data that helps improve business performance and operational efficiency. This role offers an opportunity to develop practical analytical skills while contributing to meaningful business projects.

Key Responsibilities

• Collect, clean, validate, and organize data from multiple business sources.
• Analyze datasets to identify trends, patterns, anomalies, and opportunities for improvement.
• Prepare reports, dashboards, and visualizations to communicate key business insights.
• Use Microsoft Excel and SQL to extract, manipulate, and analyze business data.
• Develop and maintain dashboards using Power BI or Tableau.
• Assist in defining, tracking, and reporting key performance indicators (KPIs).
• Collaborate with business teams to understand reporting requirements and analytical needs.
• Translate business questions into structured data analysis and actionable recommendations.
• Perform data quality checks to ensure accuracy, consistency, and reliability.
• Document analytical processes, reporting procedures, and findings.
• Support process improvement initiatives through data-driven insights.
• Present findings clearly to technical and non-technical stakeholders.

Required Qualifications

• Bachelor's degree in Business Analytics, Business Administration, Data Analytics, Statistics, Economics, Computer Science, or a related field.
• 0-2 years of relevant experience; recent graduates are encouraged to apply.
• Strong analytical, critical-thinking, and problem-solving skills.
• Working knowledge of Microsoft Excel, including formulas, pivot tables, and data analysis functions.
• Basic knowledge of SQL for querying and analyzing relational databases.
• Familiarity with data visualization tools such as Power BI or Tableau.
• Strong attention to detail and commitment to data accuracy.
• Good written and verbal communication skills.
• Ability to organize tasks, manage deadlines, and work collaboratively in a team environment.

Preferred Qualifications

• Academic, internship, co-op, or personal project experience involving data analysis.
• Familiarity with Python or R for data manipulation and analysis.
• Understanding of business intelligence, reporting, and KPI development.
• Exposure to statistical analysis, data modeling, or forecasting techniques.
• Experience preparing dashboards, reports, or presentations for business projects.
• Familiarity with database concepts and data quality management.

Key Skills

• Business and Data Analysis
• Microsoft Excel
• SQL and Database Querying
• Power BI / Tableau
• Data Cleaning and Validation
• Dashboard Development and Reporting
• KPI Tracking and Performance Analysis
• Critical Thinking and Problem-Solving
• Communication and Stakeholder Collaboration
• Attention to Detail

What We Offer

• An opportunity to begin a career in business data analytics.
• Hands-on experience with business reporting and analytical projects.
• Opportunities to learn industry-standard data analysis and visualization tools.
• A collaborative work environment that encourages professional development.
• Opportunities to develop technical, analytical, and business communication skills.
• Compensation and benefits based on the employer's policies and applicable requirements.

Equal Opportunity Statement

We welcome applications from qualified candidates and are committed to fair and inclusive hiring practices in accordance with applicable Ontario employment and human rights legislation.

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