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Senior Data Analyst

Randstad Digital Americas

VancouverFull-timeMid LevelOn-site

Job Description

Job Posting: Senior Data Analyst Location: Vancouver, BC (Hybrid - 4 days/week on-site) Contract Length: 6 Months (Likely to extend) Start Date: ASAP Hours: 40 hours/week Engagement Type: Inc. or T4 About the Rol eWe are seeking a high-caliber Senior Analys t to join our Enterprise Product Data Modernizatio n program, specifically embedded within the Data Quality & KPI Dashboar d workstream .In this role, you will bridge the gap between complex data and strategic business insights. You will be responsible for performing data assessments, identifying key data sources, documenting critical findings, and supporting the creation and buildout of high-impact dashboards and KPIs. This is a highly collaborative, business-facing role that requires sharp analytical skills and exceptional communication .

Key Responsibiliti esKPI Operationalizatio n: Partner closely with reporting and analytics teams to operationalize product data quality KPI s.Cross-Functional Collaboratio n: Engage with diverse business partners to determine priorities and define robust data quality metric s.Data Governance & Rule s: Support the creation of data quality rules and thoroughly document data processe s.Dashboard Testin g: Validate and test dashboard functionality to ensure accuracy and a seamless user experienc e.Enablemen t: Support workshops and training sessions to onboard and empower end-user s.Program Suppor t: Assist with data cleansing, data migration efforts, and ad-hoc workstreams within the modernization program as neede d. Must-Have Qualificati onsExperien ce: 5+ years of experience, ideally coming from a background in Business, Accounting, Engineering, or Management Consulti ng.Technical Tools et: Advanced proficiency in Power BI a nd Ex cel is a strict requireme nt.Communicati on: Exceptional communication and interpersonal skills with a proven track record in business-facing analys is. Nice-to-Have Skills & As setsProficiency in SQL or other advanced data manipulation to ols.Direct exposure to Py t hon.Prior experience or strong understanding of the product, retail, or apparel indust r ies.

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