Customer Data Analyst at Purdys Chocolatier

Vancouver, British Columbia, Canada -

Full Time

Start Date

Immediate

Expiry Date

07 Feb, 26

Salary

100000.0

Posted On

09 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Excel, SQL, BI Tools, Customer Analytics, Segmentation, RFM Analysis, CLV, Communication, Collaboration, Problem Solving, Data Integrity, Reporting, Visualization, Hypothesis Testing, Customer Journey

Industry

Retail

Description

Craving a dream job? Join one of Canada's Top Employers. Purdys Chocolatier is delighted to have been voted by our employees as one of Canada's Best Employers. This esteemed award is a testament to the rich texture of our history and our more than 115 years of dedication to quality, trust,and supportive work environment. Job type: Full-time, permanent Pay range: $85, 000-$100, 000 per year Do you love chocolates? As a proud Canadian Chocolatier, we create connection and joy through the power of chocolate and have a great deal of fun doing so. We truly value diversity in our workforce and therefore, welcome applicants of all ethnic groups, genders, races, religions, abilities, and backgrounds. We’re looking for a Customer Data Analyst to join our Sales and Marketing team based in the 8330 Chester st. office in Vancouver, BC. This individual will report to Vice President of Sales and Marketing. Job Overview: We are in the early stages of building a data-rich understanding of our customers, their behaviours, and their journeys. The Customer Data Analyst will play a crucial role in establishing the framework for collecting, organizing, interpreting, and applying customer data. This role bridges analytics and business decision-making, turning raw data into actionable insights that improve customer experience, loyalty, and sales. You will have the opportunity to: Data Gathering & Organization Work with IT, POS, eCommerce, Retail and Product stakeholders to consolidate customer data sources. Ensure data integrity, accuracy, and completeness during early-stage system and process development. Develop Hypotheses for Exploration Partner with business teams to identify opportunities or problems that can be addressed with customer data. Formulate clear, testable hypotheses (e.g., “Customers who buy Product X in winter are more likely to buy Product Y in spring”) and design analysis plans to prove or disprove them. Prioritize hypotheses based on potential business impact and feasibility. Analytics & Insight Generation Analyze customer demographics, purchasing behaviours, channel preferences, and engagement trends. Identify high-value segments and emerging patterns to inform marketing and merchandising strategies. Reporting & Visualization Build and maintain dashboards/reports that are accessible to non-technical stakeholders. Translate analytics into clear, actionable recommendations for cross-functional teams. Collaboration & Enablement Partner with Marketing, Merchandising, and Store Operations to define data requirements and success metrics. Support the creation of a unified view of the customer, including early stages of customer lifetime value (CLV) modelling. Continuous Improvement[LE1] Identify opportunities to refine data capture processes. Analytical prompting to leverage AI technologies or equivalent analytical tools You will be a good fit if you have: 2–4 years of experience in data analysis, ideally within retail or eCommerce with focus on customers. Proficiency in Excel, SQL, and BI tools (Power BI, or similar). Strong understanding of customer analytics concepts (segmentation, RFM analysis, CLV). Comfort working in an environment where processes and systems are still evolving. Strong communication skills — able to present insights to technical and non-technical audiences. Core Competencies Analytical and detail-oriented. Curious and proactive — seeks patterns and root causes. Comfortable with ambiguity and iterative problem solving. Strong collaborator who can bridge data and business needs. Get ready to enjoy: Flexible Work Arrangement Policy Possibility to work from home two days per week Extended Health & Dental Plan Sickness and Disability Plans RRSP Matching Program Profit Sharing depending on achieving the business goals Purdys Perks (Active Lifestyle Program, Tuition Reimbursement, Employee discount, and much more) Ready to dive deeper? Check out our Instagram, TikTok or Facebook. We appreciate the interest of all applicants, and while we wish we could personally reach out to everyone, we can only contact those selected for an interview. We genuinely care about providing reasonable accommodations to job applicants with disabilities. If you require assistance or an accommodation due to a disability, please reach out to us via email at resumes@purdys.com. We're here to help!

Responsibilities

The Customer Data Analyst will establish the framework for collecting, organizing, interpreting, and applying customer data. This role will turn raw data into actionable insights that improve customer experience, loyalty, and sales.