Data Analyst (Claims)

ABOUT US:

Design made simple for the modern home. Our passion lies in furniture and design, and it is the fuel that drives our business. We are a family-run company and aim to maintain this as we continue to rapidly grow. We’re entrepreneurial. We challenge the status quo, aren’t afraid to try new ideas, and we leverage our agile structure to make smart decisions and find new opportunities.

We’re a people-first company and what we do wouldn’t be possible without our customers. For this reason, we like to say that our collections are always customer curated. Join our flexible work culture and team of creative and passionate individuals.

Reporting directly to the Manager, Product Development & Sourcing, the Data Analyst (Claims) will turn claims, returns, and customer feedback data into clear, actionable insights that help our Quality team identify and resolve product issues. As Moe’s first dedicated data analyst, this role will also help shape how claims data is collected, analyzed, and reported by improving data feeds, building recurring reports and dashboards, and developing repeatable processes and SOPs.

This is a full-time, hybrid/remote role, with Vancouver, BC preferred. The Data Analyst (Claims) will work closely with Quality (QC), the Resolutions Team, Product Development, the Asia Office, and the Moe’s, Sundays, and Hetta brand teams.

DUTIES & RESPONSIBILITIES:

Claims data consolidation and analysis

• Gather raw claims, returns and damage data from all sources (SAP, Resolutions Team logs, customer data, brand channels) into one clean, consistent dataset
• Clean, standardize and categorize claims by product, SKU, vendor, defect type, channel and region
• Identify trends, recurring defects and root-cause signals across Sundays, Hetta and Moe's
• Summarize the top issues for QC with clear evidence (volume, cost, affected SKUs and vendors) so they can investigate and resolve

Cross-functional partnership

• Work with the Resolutions Team and Customer Data to understand how claims are captured and coded
• Partner with QC to track issues from detection through corrective action and confirm whether fixes reduce claims
• Share findings with Product Development, Sourcing and brand teams to inform vendor and product decisions

Data feed improvement

• Map current claims data sources and flows, and document gaps, duplicates and inconsistencies
• Recommend improvements to data capture, such as standard defect codes, required fields and photo or SKU linkage
• Help set data quality standards and check that they are followed

Reporting and SOPs

• Build and maintain recurring claims reports and dashboards (e.g. weekly top issues, monthly trends by vendor and SKU)
• Write SOPs for data collection, cleaning, analysis and reporting so the process is repeatable
• Respond to ad hoc data requests from leadership and partner teams

SKILLS & QUALIFICATIONS:

Required

• 2–4 years in a data or business analyst role, ideally in retail, e-commerce, furniture or consumer products
• Advanced Excel: Power Query, pivot tables, XLOOKUP/INDEX-MATCH, data cleaning
• Hands-on experience building dashboards in Power BI
• Experience pulling and working with data from SAP or another ERP
• Comfortable working with data from multiple sources and making it reliable
• Able to turn analysis into a clear, short story for non-technical teams
• Self-directed and organized; comfortable being the first person in a role and building processes from scratch
• Strong written communication, including documenting processes and SOPs, proficient with AI tools (Claude, ChatGPT).

Nice to have

• Experience with claims, returns, warranty or quality data
• Familiarity with product quality, sourcing or vendor management
• Experience working with teams across time zones (North America and Asia)
• Degree in business, statistics, data analytics or a related field, or equivalent experience
• Experience in the furniture, fashion, or consumer goods industry is a plus

What success looks like in year one

• QC gets a regular, trusted summary of top claims issues instead of pulling data by hand
• All claims sources are mapped, and a single consolidated claims dataset is in use
• Recurring claims dashboards are live and used by QC, Resolutions and brand teams
• SOPs cover the full claims data process, so reporting continues if the analyst is away
• Fixes driven by the analysis show a measurable drop in claims for the targeted SKUs or vendors

WHAT WE OFFER:

• Competitive salary plus bonus.
• Comprehensive benefits plan (health, dental, vision) with enhanced coverage for mental health resources.
• Three weeks of vacation in your first year.
• Casual and open office with views of downtown Vancouver and the North Shore mountains.
• Stocked kitchen with snacks, fresh fruit, coffee, and tea.
• Ergonomic workstations with sit-stand desks.
• Free electric vehicle charging at our head office.
• Generous product discounts for yourself, friends, and family.
• Professional development opportunities.
• Office gym and free weekly spin classes at Ride Cycle Club (locations in Vancouver and Toronto).

The salary range for this role is currently budgeted at $60,000 - $70,000 annually.

We appreciate hearing from all candidates, however, only those under consideration will be contacted. Moe’s is proud to be an equal opportunity employer who is committed to inclusive hiring practices