Job Description
Our large manufacturing client in North Vancouver, BC is hiring a Senior Data Analyst to support data-driven decision-making across manufacturing, supply chain, and enterprise operations. This team blends strong analytics, modern data engineering, and business partnership to turn complex data into trusted, actionable insights. If this sounds like you, please apply directly or send your resume to info@stellar-recruitment.com.
Responsibilities
Design, develop, and maintain Power BI reports, dashboards, datasets, and semantic models using Power Query (M), DAX, and SQL, ranging from foundational reporting to highly complex analytical solutions.
Build and optimize data models and transformations across the analytics stack, including Databricks and Delta Lakes.
Analyze and interpret complex manufacturing and supply chain data to identify trends, risks, and opportunities for operational, financial, and performance improvement.
Integrate data from multiple enterprise systems (e.g., ERP/MRP, PLM, scheduling, and cloud platforms), ensuring consistent definitions, data lineage, and a unified reporting model.
Validate data sources, transformations, and calculations against business rules and reference data to ensure accuracy, completeness, and trust in all reported metrics and KPIs.
Collaborate closely with business stakeholders and internal team members to translate requirements into effective data solutions, provide insights, and continuously improve analytics performance and usability.
Qualifications
Bachelor’s degree in Computer Science, Data Science, Statistics, Business Analytics, Supply Chain, or a related field (Master’s degree considered an asset for senior‑level candidates).
Experience in data analytics, business intelligence, or data engineering, ranging from early‑career (junior analyst) to senior‑level (7+ years) experience designing enterprise‑scale BI and data solutions.
Strong to expert proficiency in Microsoft Power BI, including data modeling, DAX, Power Query (M), and performance optimization, depending on role level.
Solid to advanced SQL skills, with experience developing and tuning complex queries; senior candidates should bring hands‑on experience with Databricks, Delta Lake, and data warehouse architectures.
Understanding of data warehousing concepts, ETL/ELT processes, and analytical data modeling techniques (e.g., star and snowflake schemas).
Strong analytical thinking, attention to detail, and communication skills, with the ability to translate business needs into technical solutions and clearly explain insights to stakeholders.
Pay: $50-70 per/hour depending on seniority and incorporation status.
Please note that the posted pay range for this role may vary based on seniority, qualifications, or prior experience. We are always looking for talented people to join our network, and if your desired compensation isn’t reflected in this posting, please send your application for review regarding related opportunities.
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