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Added 18 mins ago
PG
Test Automation Developer - Intermediate
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Added 18 mins ago
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Added 1 hour ago
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Added 1 hour ago
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Added 1 hour ago
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Moe's Home Collection

Data Analyst (Claims)

Vancouver, BC, V6A 4L5, Canada

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

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Job details

Pay: The salary range for this role is currently budgeted at $60,000 - $70,000 annually.
Job type: Full-time
Posting language: English
Posted: Oct 7, 2026

Original job description

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

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More about this job

Responsibilities

The Data Analyst will consolidate and analyze claims, returns, and customer feedback data to identify product issues and trends. They will also build recurring reports, dashboards, and SOPs to improve data collection and cross-functional decision-making.

Requirements

Candidates should have 2–4 years of experience in a data or business analyst role with advanced Excel and Power BI skills. Experience with ERP systems like SAP and the ability to translate complex data into actionable insights for non-technical teams is required.

Skills

Data analysis
Excel
Power Query
Pivot tables
Power BI
SAP
ERP systems
Data cleaning
Reporting
SOP development
Process improvement
Cross-functional collaboration
Root-cause analysis
Communication
AI tools

Benefits

Health insurance
Dental insurance
Vision insurance
Mental health resources
Paid vacation
Product discounts
Professional development opportunities
Office gym
Free spin classes
Electric vehicle charging

Visa sponsorship

Not detected in the job text

Keywords

Data Analyst
Claims
Returns
Quality Control
SAP
Power BI
Excel
Power Query
Data Cleaning
SOP
Dashboarding
Retail
E-commerce
Furniture
Vendor Management
Product Development
Root-cause analysis
Data visualization
Business Intelligence
AI tools
Claude
ChatGPT
Data mapping
KPI tracking
Cross-functional partnership

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