Analytics Engineer, Retail Analytics
About The Position
As an Analytics Engineer, Retail Analytics, you play a pivotal role in sculpting the landscape of business intelligence within our dynamic retail environment. Positioned at the heart of our Retail Capabilities Department, you will be instrumental in crafting, deploying, and refining sophisticated reports and analytics solutions. By directly collaborating with our Senior Manager of Retail Analytics, alongside key partnerships with the FP&A, Operations Solution, and Technology teams, your work will significantly impact our vertical retail divisionâs performance. Your mission will involve seamlessly weaving together data analysis and business strategy, serving as a critical bridge that transforms raw data into actionable insights. Embrace the challenge of an agile work environment where your retail and industry expertise in finance and/or workforce planning empowers you to conceptualize, develop, and implement robust reporting frameworks that drive strategic decisions. This role is based out of our North Vancouver office and is eligible for a hybrid work schedule. Candidates must be eligible to work in Canada.
Requirements
- You have a bachelorâs degree in business, engineering, statistics, finance or related field
- You have 5+ years of experience in analytics, business intelligence, or analytics engineering roles
- You have expert-level proficiency in Power BI development, including semantic modeling, DAX optimization, and performance tuning
- You have strong expertise in data modeling and dimensional design
- You have hands-on experience working with modern data warehouse technologies; Databricks experience is a strong plus
- You have proven ability to partner with business stakeholders to gather requirements and translate them into scalable technical solutions
- You have experience working on production-grade analytics products or enterprise reporting environments
- You have retail industry experience
- You are comfortable working in Agile, cross-functional teams with a product mindset
- You are proactive in identifying the root cause of issues and developing solutions
- You remain highly flexible and adaptable when faced with ambiguity
- You effectively balance autonomy and collaboration
- You inspire breakthrough thinking and continuous improvement
- You seek the best (sometimes not the easiest) solutions, with an unwavering commitment to do what is right
- Your passion for your work is paralleled by your passion for getting outside and living it
Nice To Haves
- You have exposure to performance optimization, advanced analytics, or scalable semantic-layer design
Responsibilities
- Designing, developing, and optimizing advanced Power BI semantic models, reports, and dashboards with a strong focus on performance and scalability
- Leading data modeling development across Power BI and Databricks, identifying the optimal balance between warehouse-layer transformations and semantic-layer logic
- Sustaining and enhancing our flagship global retail analytics products in production, ensuring reliability, performance, and usability at scale
- Partnering closely with business stakeholders as a technical business analyst, translating complex retail requirements into scalable data solutions
- Collaborating cross-functionally with Data Engineers, Designers, and Analysts to deliver high-quality, product-driven analytics experiences
- Supporting the Senior Manager of Retail Analytics in developing the roadmap of Retail Capabilities ensuring alignment with long term strategic goals
- Building and scaling self-serve analytics capabilities that empower global retail teams
- Defining and implementing global KPI standards and semantic modeling frameworks
- Advancing toward predictive analytics, advanced modeling, and machine learning initiatives within the retail domain
- Driving continuous improvements in performance optimization, data architecture, and analytics engineering best practices
- Acting as a technical leader within Agile product squads, shaping the evolution of Retail Insights as a global data product
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
1-10 employees
