Data Analytics Specialist

Article

. Turn business questions into clear data requirements, including metrics, dimensions, and required level of detail .

Posted 10/8/2026full-timeVancouver • CanadaJunior💰 CA$73,000 - CA$82,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in SQL for data modeling and analysis, with a strong focus on data quality and root-cause analysis. Proficient in building AI-enabled analytics and automated reporting while collaborating effectively across business functions.

Highest-signal resume keywords

SQL FundamentalsData Quality AnalysisAI-Enabled AnalyticsAnalytical Data ModelsPython or R Programming

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLData ModelingData AnalysisRoot-Cause AnalysisData Requirements TranslationAutomated ReportingAnalytical MetricsData ExplorationData DocumentationData Quality Monitoring

Soft Skills

Clear CommunicationAdaptabilityProblem-SolvingCollaborationCritical Thinking

Tools & Technologies

Databricks GenieClaudeGemini

Certifications & Qualifications

Criminal Background CheckLegally Able to Work in Canada

Industry Keywords

Business OperationsData EngineeringCustomer ServiceSupply Chain PlanningLogistics

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Turn business questions into clear data requirements, including metrics, dimensions, and required level of detail
Build and maintain trusted, reusable analytical data models
Use SQL to explore data, investigate problems, and validate results
Partner with Business Operations to define and maintain consistent metrics and reporting
Identify root causes of data quality issues and partner with Data Engineering as needed
Work with large and messy datasets and explain assumptions, limitations, and data implications
Structure and document data for reliable use by people and AI tools
Build and maintain AI-enabled analytics and automated reporting using Databricks Genie, Claude, and Gemini
Monitor data and AI outputs for quality and recommend improvements
Maintain clear, current data definitions, models, processes, and documentation
Collaborate with Business Operations, Data Engineering, Sales, Customer Service, Supply Chain Planning, and Logistics teams

Requirements

What you’ll need

1–2 years of hands-on experience working with data and analytics
Understanding of SQL fundamentals; ability to review queries, troubleshoot errors, and assess whether results make sense
Ability to translate unclear business questions into data requirements
Critical approach to data quality and root-cause analysis
Ability to communicate findings, assumptions, and limitations clearly
Adaptability and interest in AI-enabled analytics tools
Ability to work through ambiguity, ask questions, and use evidence for recommendations
SQL for data modeling, analysis, and exploration
Python or R for programming and automation
Experience with analytical data models, reporting, or business metrics
Legally able to work in Canada
Completion of a criminal background check

Benefits

Comp & perks

Annual financial-goal cash bonus for eligible employees
4% RRSP matched contributions through Wealthsimple
15 days of vacation
1 extra day off (Inclusion and Diversity Day)
6 well-being (sick) days
Hybrid work arrangement
Work remotely anywhere in the world for up to 3 weeks
Extended health, dental, and vision benefits
$1000 health/lifestyle spending account
TELUS Health App
Mental Health Assistance/Counseling
Virtual medical appointments
Standup desks available on request
Snacks, premium coffees, and teas
Onsite fitness equipment with showers and towel service
Pickleball, badminton, and table tennis facilities/activities
Dog-friendly office
Free street parking
Indoor secure bike storage with change rooms and showers
45% discount on entire product range
15% discount for friends and family