Senior Data Platforms Analyst

WestJet Group•Calgary, AB

3d•Onsite

About The Position

The Senior Data Platform Analyst, reporting to the Manager, Data Platforms, is a senior technical resource responsible for supporting, optimizing, governing, and evolving WestJet’s enterprise data platforms. This role provides senior-level platform oversight across key technologies including Power BI, Microsoft Fabric, Snowflake, Tableau, Alteryx, Dagster, Azure integrations, and emerging AI enablement capabilities. This is a platform-focused role, not a traditional developer-only role. The Senior Data Platform Analyst is expected to understand how data platforms are used across the organization, identify risks and optimization opportunities, guide teams toward scalable solution patterns, and help ensure platforms are stable, cost effective, governed, and ready to support future business needs. A key focus of this role is proactive Power BI and Fabric capacity management, including monitoring usage trends, identifying high-impact datasets and reports, supporting optimization efforts, and helping avoid unnecessary capacity spend. The role will also support Snowflake platform enablement, including AI use cases, governance, guardrails, cost controls, monitoring, and safe adoption patterns. The Senior Data Platform Analyst will contribute to the Data Platforms roadmap by assessing new capabilities, supporting proof of concepts, enabling safe rollout of platform features, and building reusable standards, documentation, and enablement material through the Data Platforms Center of Excellence. This role also requires strong communication, presentation, and mentoring skills. The Senior Data Platform Analyst will be expected to explain technical concepts clearly, present recommendations and proof-of-concept outcomes, mentor analysts, and help business users adopt platform capabilities through guidance, documentation, training, and knowledge sharing.

Requirements

Bachelor’s degree in a technical, analytical, data, engineering, computer science, business technology, or related field, or equivalent practical experience.
5 or more years of experience supporting, administering, optimizing, or enabling BI, data, analytics, ML, ETL, or cloud data platforms.
3 or more years of experience with data warehousing, business intelligence, data platform operations, or analytics engineering.
Strong experience with Power BI administration, semantic model optimization, report performance analysis, DAX, Power Query, refresh troubleshooting, workspace governance, and capacity management.
Experience with Microsoft Fabric capabilities, Power BI Premium or Fabric capacity concepts, or willingness to quickly develop expertise in Fabric platform management.
Experience with Snowflake or a similar cloud data platform, including platform usage, performance, cost awareness, governance, and user enablement.
Experience with SQL and at least one scripting or programming language such as Python or PowerShell.
Strong understanding of data modelling best practices, BI solution design, and performance optimization for reports, datasets, semantic models, and analytical workloads.
Experience supporting or assessing data orchestration, CI/CD, deployment pipelines, Git integration, automation, or workflow management tools.
Experience with one or more platforms or tools such as Power BI, Microsoft Fabric, Snowflake, Tableau, Alteryx, Dagster, Airflow, Azure Data Factory, AzureML, Power Platform, or Splunk.
Strong incident and problem management skills, including the ability to investigate root cause, assess business impact, recommend corrective action, and document resolution steps.
Strong presentation, teaching, and mentoring skills, with the ability to explain technical concepts clearly to business users, analysts, developers, and leadership audiences.
Experience creating or delivering training, enablement sessions, demos, documentation, best practices, or knowledge-sharing material.
Ability to provide technical guidance to business users, developers, analysts, and stakeholders while balancing usability, governance, performance, cost, and long-term supportability.
Demonstrated ability to manage multiple priorities, work independently on complex items, escalate appropriately, and drive work forward with limited direction.
Strong learning agility and willingness to develop expertise in emerging platform capabilities, including AI enablement, GenAI governance, Microsoft Fabric, Copilot, and modern data orchestration patterns.

Responsibilities

Provide senior-level support and oversight for enterprise data platforms, including Power BI, Microsoft Fabric, Snowflake, Tableau, Alteryx, Dagster, Azure integrations, and related technologies.
Proactively monitor and optimize Power BI and Fabric capacity usage, including semantic models, datasets, refresh patterns, report performance, workload trends, and high-impact usage patterns.
Identify and support cost avoidance opportunities by optimizing existing platform usage before recommending additional capacity, licensing, or infrastructure spend.
Support Power BI and Fabric governance, including workspace structure, deployment patterns, lineage visibility, usage monitoring, access patterns, and platform standards.
Support proof of concepts and assessments for new platform capabilities such as Fabric, Copilot, Power BI Git integration, Dataflow Gen2, deployment pipelines, and other roadmap items.
Support Snowflake AI enablement by helping define safe usage patterns, platform guardrails, monitoring, cost controls, and governance practices for AI and GenAI use cases.
Provide guidance to business units and delivery teams on data platform requirements, solution design, scalability, performance, supportability, and appropriate platform selection.
Establish and maintain Center of Excellence documentation, including platform standards, best practices, onboarding materials, runbooks, reusable patterns, training content, and user enablement guidance.
Present platform recommendations, proof-of-concept outcomes, best practices, demos, and enablement sessions to technical and non-technical audiences.
Mentor analysts and support business users by teaching platform concepts, reviewing solution approaches, and helping teams adopt standards and best practices.
Develop dashboards and reporting assets for platform observability, governance, capacity management, usage analysis, audit support, and operational insights.
Support rollout and adoption of Dagster and other orchestration capabilities, ensuring solutions are implemented safely and consistently.
Configure and support integrations across multiple data platforms, including connectivity, automation, orchestration, and operational monitoring.
Recommend and execute platform optimizations, process improvements, automation opportunities, and governance enhancements across the Data Platforms portfolio.
Lead or support incident, change, release, and problem management activities for supported platforms and services.
Troubleshoot complex platform issues, including report performance, refresh failures, capacity spikes, access issues, platform configuration, and cross-platform integration challenges.
Document resolution steps, maintain support runbooks, contribute to knowledge management, and support transition of repeatable operational activities to managed service providers where appropriate.
Support platform security posture, including access management, governance controls, audit participation, monitoring, and remediation activities.