Online Data Analyst

Environmental Career Center; Toronto; Hybrid; CAD 60,000 - 80,000; Full time

Job summary

A data analytics organization in Toronto is seeking an Online Data Analyst to transform raw data into actionable insights. The ideal candidate will monitor and report on digital metrics, collaborate with cross-functional teams, and utilize tools like Google Analytics and Tableau. Applicants should possess a bachelor’s degree and experience in data analysis, with a strong focus on detail and problem-solving skills. This role includes competitive benefits and flexible work options.

Benefits

Competitive salary and performance-based incentives

Comprehensive health, dental, and vision insurance

Flexible work hours and remote work options

Professional development opportunities

Qualifications

• Proven experience in online data analysis, preferably within digital marketing or e-commerce.
• Strong skills in data manipulation and visualization using analytics tools.

Responsibilities

• Monitor and analyze website traffic and user behavior.
• Develop dashboards and reports for performance tracking.
• Support A/B testing and conversion rate optimization.

Skills

Data analysis

Problem-solving

Data visualization

Communication

Education

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

Tools

Google Analytics

Tableau

SQL

Power BI

Job description

About the Role

We are seeking a detail-oriented and analytical Online Data Analyst to join our team. This role plays a crucial part in transforming raw data into actionable insights that drive strategic decisions and optimize online performance. If you have a passion for data, strong problem-solving skills, and the ability to communicate findings clearly, this opportunity is for you.

As an Online Data Analyst, you will work closely with cross-functional teams to monitor, analyze, and report on digital metrics, ensuring the organization stays ahead in a rapidly evolving digital landscape.

Key Objectives

• Collect, analyze, and interpret online data to support business goals.
• Identify trends, patterns, and opportunities to enhance digital strategies.
• Deliver clear, actionable reports and visualizations to stakeholders.
• Collaborate with marketing, product, and IT teams to improve data quality and insights.

Responsibilities

• Monitor and analyze website traffic, user behavior, and campaign performance using analytics tools.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs).
• Perform data validation and ensure accuracy and consistency of datasets.
• Support A/B testing and conversion rate optimization initiatives with data-driven insights.
• Collaborate with teams to define data requirements and improve data collection processes.
• Stay updated on industry trends, analytics tools, and best practices.
• Communicate findings effectively to both technical and non-technical audiences.

Requirements

• Bachelor’s degree in Data Science, Statistics, Computer Science, Marketing, or a related field.
• Proven experience in online data analysis, preferably within digital marketing or e-commerce.
• Proficiency with web analytics platforms such as Google Analytics, Adobe Analytics, or similar tools.
• Strong skills in data manipulation and visualization using Excel, SQL, Tableau, Power BI, or equivalent.
• Experience with A/B testing and statistical analysis techniques.
• Excellent analytical thinking and problem-solving abilities.
• Effective communication skills with the ability to translate complex data into clear insights.
• Attention to detail and a commitment to data accuracy.

Preferred Qualifications

• Knowledge of programming languages such as Python or R for data analysis.
• Familiarity with digital marketing concepts and tools (SEO, SEM, PPC).
• Experience working in an agile environment.

Benefits

• Competitive salary and performance-based incentives.
• Comprehensive health, dental, and vision insurance.
• Flexible work hours and remote work options.
• Professional development opportunities and training programs.
• Collaborative and inclusive company culture.
• Access to the latest tools and technologies in data analytics.