Data Analytics Specialist
AnalyticsData & AI
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Quick Summary
Overview
Hi there, we’re Article. 👋 Since 2013, we have been redefining the furniture industry one sofa at a time, it’s not easy — it requires solving challenging, meaningful problems.
Technical Tools
AnalyticsData & AI
Hi there, we’re Article. 👋 Since 2013, we have been redefining the furniture industry one sofa at a time, it’s not easy — it requires solving challenging, meaningful problems. This is where you come in, as a Data Analytics Specialist (internally known as a Business Analyst), you'll turn complex data into clear, trusted insights that help our teams make better decisions.
Our Data Operations (In our Business Intelligence department) team sits between our business teams and the technical data team. We help turn business questions and sometimes messy data into structured, reliable information that people and AI tools can actually use.
You’ll help us build trusted data models, define clear metrics, improve data quality, and make our data easier to understand and use. You’ll also support how we use AI in analytics, helping ensure the information behind our AI tools is accurate, well-structured, and useful.
This role is for someone who enjoys solving problems and digging into why something is happening, not just reporting what happened. You don't need to be an AI expert. You do need a strong foundation in data and SQL, good judgment, and the curiosity to keep learning as our tools and ways of working evolve.
As a Particle (people of Article), you will have a high level of autonomy to solve challenging, meaningful problems the best way you can. That means you’re trusted to explore solutions you believe will work best (you’re the expert, after all). You’ll do all this while growing your skills within a company that is redefining the furniture industry.
Data Operations connects business questions with the data needed to answer them. You'll work closely with Business Operations, Data Engineering, and teams across Article, including Sales, Customer Service, Supply Chain Planning, and Logistics.
We are a hybrid team. You'll be in our Vancouver office 3 days per week, with flexibility.
Location & Eligibility
Where is the job
Vancouver, Canada
Hybrid — some on-site time required
Who can apply
CA
Listing Details
- First seen
- October 8, 2026
- Last seen
- October 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 58%
- Scored at
- October 8, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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