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Senior Data Analyst

Job in North Vancouver, BC, Canada
Listing for: TEEMA
Contract position
Listed on 2026-08-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Data Warehousing, Business Intelligence
Job Description & How to Apply Below
  • Designs, develops, and maintains highly complex Power BI reports and dashboards, incorporating advanced data modeling techniques to integrate data from disparate shipbuilding systems

  • Works extensively with Databricks and Delta Lake, developing optimized "gold" level SQL queries for Power BI models, and performing advanced transformations directly within the data warehouse where appropriate.

  • Identifies, maps, and implements data lineage and transformation strategies, determining the optimal stage for data manipulation (data warehouse vs. Power BI data model) to ensure data quality, performance, and scalability.

  • Leads the integration of data from various core shipbuilding systems, including ARAS (PLM), Oracle P6 (Scheduling), IFS/JD Edwards (ERP/MRP), and future Oracle Cloud ERP, ensuring a unified and coherent data model for comprehensive reporting.

  • Develops sophisticated Power BI data models, leveraging advanced DAX expressions and Power Query (M language) to create robust measures, calculated columns, and tables that meet complex business requirements.

  • Collaborates closely with business stakeholders to understand complex requirements, translate them into impactful data visualizations, and iteratively refine reports to ensure maximum user adoption and actionable insights.

  • Validates data sources, complex transformations, and analytical outputs against business rules and reference data to guarantee the accuracy, completeness, and integrity of all derived reports.

  • Creates comprehensive documentation for business requirements, data sources, infrastructure, complex data models, and reporting governance processes to provide clarity and context for all data consumers.

  • Acts as a Subject Matter Expert (SME) in Business Intelligence, providing guidance, training, and knowledge transfer to team members and business users on advanced Power BI functionalities, data best practices, and data interpretation.

  • Optimizes all stages of the data analysis process, from data extraction and advanced querying to data modeling and visualization, ensuring high performance and efficiency of all BI solutions.

  • What you must have:

  • Bachelor's degree in Computer Science, Statistics, Data Science, Business Analytics, or a closely related quantitative field. Master's degree is an asset.

  • 7 - 10 years of progressive experience in data analysis and business intelligence, with a strong emphasis on complex report development in large-scale enterprise environments.

  • Demonstrated expert-level experience with Microsoft Power BI, including advanced data modeling, DAX, Power Query (M), and custom visualizations.

  • Proven expert-level experience with SQL for complex query development, performance tuning, and data manipulation, ideally within a data warehouse environment like Databricks.

  • Extensive hands-on experience working with Databricks and Delta Lake architectures, specifically in developing gold-layer queries for BI consumption.

  • Demonstrated experience integrating data from diverse enterprise systems, particularly within a manufacturing or project-driven industry (e.g., ERP, PLM, Scheduling systems).

  • Experience with Azure Analytics Services, including Azure SQL Data Warehouse and Azure Analysis Services, is highly desirable.

  • Experience in a shipbuilding, heavy manufacturing, or large-scale project management environment is a significant asset.

  • Expert Data Modeling

    Skills:

    Deep understanding and practical application of star schema, snowflake schema, and other advanced data modeling techniques within Power BI and data warehouses.

  • Advanced SQL & Query Optimization:
    Exceptional proficiency in writing and optimizing complex SQL queries, stored procedures, and functions for large datasets.

  • DAX & M Language Mastery:
    Ability to write highly efficient and complex DAX measures, calculated columns, and tables, as well as advanced Power Query (M) transformations.

  • Data Architecture Understanding:
    Strong conceptual and practical understanding of data warehousing principles, ETL/ELT processes, and data lake concepts.

  • Analytical & Problem-Solving Acumen:
    Superior analytical and problem-solving skills, with the ability to dissect complex business problems, identify…

  • Position Requirements
    10+ Years work experience
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