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Added 13 mins ago
Quality Assurance Analyst 2
Symcor
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Recommend product and business solution improvements for future releases.
Added 27 mins ago
Quality Assurance Analyst
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Full-time
Demonstrate initiative and are adaptable, organized and solution-oriented.
Added 42 mins ago
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Added 1 hour ago
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Metro Vancouver

Data Platform Analyst

Burnaby, BC, Canada

Pay: Salary Range/ Wage Rate: PG T27 $3,734.48 - $4,413.08 bi-weekly
Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

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Original job description

Position Title: Data Platform Analyst

Position Status: Full-Time Regular

Department: Corporate Services

Employee Group: Teamsters Local 31

Location: 4515 Central Boulevard, Burnaby

Salary Range/ Wage Rate: PG T27 $3,734.48 - $4,413.08 bi-weekly

Our Corporate Services Department is seeking a Data Platform Analyst who will support and maintain enterprise data platforms, database systems, and analytics solutions. You will develop and optimize data pipelines, data models, and reporting solutions; administer and monitor database environments; troubleshoot operational issues; and liaise between client departments, technical staff, and vendors to keep data systems reliable, secure, and aligned to business needs.

You are a pragmatic, service-oriented data professional with strong technical depth across database administration, data engineering, and analytics, who can translate business requirements into well-governed, supportable data solutions and keep critical enterprise data platforms running dependably.

This role:

Installs and maintains database systems to ensure a high level of data availability; develops database architecture using established standards; maintains and ensures database and coding standards and quality assurance standards and procedures; assists with planning and coordinating data migration between systems; and assists with the development and maintenance of cloud database components.
Develops and maintains ETL (extract, transform, load) processes and data pipelines for data integration across platforms; designs and develops data models for data warehousing and business analytics; assists with data integration and transformation between data sources; supports data warehouse development and maintenance; and monitors and validates data flows to ensure accuracy and consistency.
Develops, implements and maintains data analytics solutions using enterprise business intelligence tools; works with business stakeholders to gather requirements, translate, and deliver data analytics solutions; creates and optimizes semantic data models, calculated measures, and data transformations for solutions; and provides training and assistance to business users on self-service analytic tools.
Monitors and evaluates technical performance of corporate data systems; identifies and resolves data abnormalities to avoid system outages; recommends replacement of aging systems and opportunities for optimization; assists with the monitoring and administration of cloud data storage solutions; provides technical support for operational issues; and participates in data backup and recovery planning.
Serves as a technical resource on various infrastructure and database projects; completes tasks according to project schedules; coordinates with departmental stakeholders to ensure that database standards remain relevant and aligned with business requirements; as required, oversees the work of consultants for compliance with corporate database and applications development standards.
Researches, evaluates and recommends information technology solutions and best practices related to data engineering, analytics, and data management; evaluates impacts of new technology and practices on existing systems; and prepares and presents related reports as required.
Maintains documentation for database configurations, data pipelines, reports and procedures.
Performs related work as required.

To be successful, you have:

Bachelor’s degree in computer science, information technology, data engineering, business analytics or related discipline, plus considerable related experience in data analytics, data engineering and database administration; or an equivalent combination of training and experience.
Considerable knowledge of relational database management systems, including the principles, methods, practices and procedures for database administration, maintenance, design and optimization.
Considerable knowledge of data engineering methods and procedures, including the tools and practices for extracting, transforming, loading data, automating and optimizing data pipelines for data integration.
Considerable knowledge of data analytic methods and procedures, including statistical analysis, data visualization and modeling techniques, processes and tools related to the work.
Considerable knowledge of the characteristics and capabilities of the District’s computing environment.
Considerable knowledge of problem definition and solution techniques applicable to the work.
Sound knowledge of the functions of departments served and their requirements as applied to the work.
Ability to analyze and evaluate various data and information requirements and to prepare data engineering and data analytics solutions to meet the needs of client departments.
Ability to develop databases including physical and logical data structures, using established standards.
Ability to evaluate and monitor the performance of databases and related applications to ensure data integrity, security and optimization of database resources, and to provide related technical support.
Ability to design and implement data transformation logic and pipeline workflows for data integration.
Ability to create and optimize data models, processes, queries, and calculated measures.
Ability to serve as a technical resource for enterprise infrastructure and database projects.
Ability to establish and maintain effective working relationships with a variety of contacts, to communicate effectively, and to provide advice and assistance on matters related to the work.
Skill in using SQL, common programming languages, and enterprise business intelligence tools.
Driver’s Licence for the Province of British Columbia.

Our Vision:

Metro Vancouver embraces collaboration and innovation in providing sustainable regional services that contribute to a livable and resilient region and a healthy natural environment for current and future generations.

Metro Vancouver employees proudly serve the region and demonstrate the behaviours and attributes of six leadership competencies: Accountability, Adaptability, Building and Nurturing Relationships, Communication, Continuous Learning, and Strategic Thinking and Action.

At Metro Vancouver, we are committed to cultivating a diverse, safe, equitable, and inclusive work environment for all. We strive to attract and retain a talented, diverse workforce that is reflective of the region we serve. If an accommodation is required during the recruitment and selection process, please contact careers@metrovancouver.org for support. Learn more about our commitments to diversity, equity, and inclusion here.

Please follow this link https://metrovancouver.org/about-us/careers to our Careers page where you can submit your application by October 13, 2026.

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More about this job

Responsibilities

Maintain and optimize enterprise database systems, cloud data components, ETL pipelines, data models, data warehouses, and business intelligence solutions. Monitor system performance and data quality, troubleshoot operational issues, support projects and stakeholders, and maintain technical documentation and data recovery planning.

Requirements

Requires a bachelor’s degree in computer science, information technology, data engineering, business analytics, or a related discipline, plus considerable relevant experience, or an equivalent combination of training and experience. Candidates should have strong knowledge of relational databases, data engineering and analytics, SQL and programming, and enterprise BI tools, as well as a British Columbia driver’s licence.

Skills

Database Administration
Data Engineering
ETL
Data Pipeline Development
Data Modeling
Data Warehousing
Business Intelligence
Data Analytics
SQL
Programming
Database Performance Optimization
Data Integration
Cloud Database Administration
Data Visualization
Data Migration
Technical Support

Visa sponsorship

Not detected in the job text

Keywords

Database Administration
Database Architecture
SQL
ETL
Data Pipelines
Data Integration
Data Transformation
Data Warehousing
Data Modeling
Business Analytics
Business Intelligence
Semantic Data Models
Calculated Measures
Data Visualization
Statistical Analysis
Cloud Databases
Cloud Data Storage
Database Performance Monitoring
Data Integrity
Data Security
Data Migration
Backup and Recovery
Quality Assurance
Enterprise Data Platforms
Self-Service Analytics
Programming Languages
Technical Documentation
Data Governance

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