Data Analyst jobs at Mississauga, Ontario, Canada Full Time

Company Overview

Candy Funhouse is the leading online candy retailer where pop culture and candy collide. With a dedicated following of 5 million followers, we focus on media and content creation, offering thousands of products, from nostalgic favourites to the newest discoveries. Our vibrant team is dedicated to creating engaging content that merges the love of candy and entertainment, bringing people together through happiness and pop culture. Join us at Candy Funhouse to experience the fun and joy of a unique blend of candy and entertainment!

Job Description

Role Details

Job Title: Data Analyst

Reporting To: COO 

Hours: 40 hours/week

Position Type: Full-Time

Location: Mississauga, In-person

Responsibilities

• Data Management & Programming: Develop and manage databases, ensuring data accuracy and accessibility. Use SQL, Python, or similar languages to extract, transform, and load (ETL) data from various sources.
• Consumer & Sales Analysis: Analyze consumer behaviour and eCommerce performance metrics (e.g., conversion rates, AOV, CLV) and provide actionable insights.
• Conversion Rate Optimization: Work closely with marketing to track and optimize website traffic, user behaviour, and campaign performance. Identify opportunities for A/B testing and provide data-driven recommendations to enhance conversion rates.
• Market & Competitor Insights: Conduct regular analysis of candy retail trends and competitive landscape to support business growth and product offerings.
• Tool Utilization: Use analytics platforms (e.g., Google Analytics) and additional data tools to monitor key metrics, assess marketing effectiveness, and support data extraction, transformation, and visualization efforts.

Required Skills

• Analytical Capabilities: Strong ability to interpret data, identify trends, and provide actionable insights.
• Programming: Proficiency in SQL, Python, or R for data analysis and management.
• Data Visualization: Experience with tools such as Tableau, Looker, or Power BI, and analytics platforms like Google Analytics.
• eCommerce & CRO: Understanding of eCommerce KPIs, conversion rate optimization strategies, and familiarity with A/B testing methodologies.

Preferred Qualifications

• Bachelor’s degree in Data Science, Computer Science, Business Analytics, or a related field.
• 2+ years of experience in data analysis, preferably in an eCommerce or retail environment.
• Experience with A/B testing tools and CRM systems.
• Background in CPG, candy, or food retail analytics.