Data Analys

Data Analyst

• *Location:**

Canada

• *Job Type:**

Full-time

Job Overview

We are seeking a highly analytical

• *Data Analyst**

to join our team. The Data Analyst will be responsible for collecting, analyzing, and interpreting data to help the organization make informed business decisions. The ideal candidate will have strong problem-solving skills and experience with data analysis tools and techniques.

Key Responsibilities

• Collect, clean, and analyze large datasets from various sources
• Develop and maintain dashboards and reports to track key performance indicators (KPIs)
• Identify trends, patterns, and insights from data analysis
• Collaborate with business teams to understand data requirements and business goals
• Assist in making data-driven decisions by providing actionable insights
• Perform statistical analysis and build predictive models (if applicable)
• Prepare and present reports and visualizations to stakeholders
• Support the development of automated reporting processes and tools
• Ensure data integrity and consistency across databases

Required Qualifications

• Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or a related field
• 1–3 years of experience in data analysis or a related role
• Proficiency in SQL and data manipulation techniques
• Experience with data visualization tools such as Tableau, Power BI, or similar
• Strong knowledge of Microsoft Excel (advanced formulas, pivot tables, etc.)
• Ability to work with large datasets and perform complex analysis
• Excellent communication and presentation skills

Preferred Qualifications

• Experience with programming languages such as Python, R, or similar
• Familiarity with database management systems (e.g., MySQL, PostgreSQL, or MongoDB)
• Knowledge of statistical analysis and machine learning techniques
• Experience with cloud platforms such as AWS, Google Cloud, or Azure
• Understanding of data warehousing and ETL processes

What We Offer

• Competitive salary and benefits package
• Opportunities for professional development and training
• A collaborative and dynamic work environment
• Career growth opportunities in data science and analytics

How to Apply

• Interested candidates are encouraged to submit their resume and portfolio (if applicable), along with a cover letter highlighting their relevant experience in data analysis