Senior Analytics Advisor in Calgary

Senior Analytics Advisor

• Contract Length : 6 Months
• Work Type : Hybrid
• Location : Calgary, AB

Job Overview:

• As a Senior Advisor, Analytics, you will translate operational and financial data into actionable insights that directly influence pipeline performance, safety, regulatory compliance, and business unit financial outcomes. This role serves as a bridge between pipeline operations, advanced analytics, and AI-enabled decision support, ensuring leaders have access to timely, accurate, and impactful intelligence to optimize system performance.
• You will act as a senior technical advisor, leveraging modern analytics platforms such as Databricks, advanced programming capabilities in Python, SQL, and VBA, and AI-powered tools including Copilot agents to scale insight generation, scenario modeling, and decision support across the organization.

Key Responsibilities

• Lead advanced analytical problem-solving by transforming operational, financial, and market data into decision-ready insights using Python, SQL, and Databricks.
• Design, develop, and interpret complex analytical outputs, including trends, anomalies, forecasts, and scenario analyses, to identify performance improvement opportunities, strengthen risk controls, and support strategic decision-making.
• Build and maintain AI-enabled analytics solutions, including Copilot agents, to automate recurring analyses, explain metrics, and accelerate insight delivery.
• Perform financial and economic analyses, including revenue impact assessments and marginal cost evaluations, to support strategic planning and capital allocation decisions.
• Partner with data engineers and analytics teams to define data requirements, enhance data quality, and improve dashboards, self-service analytics capabilities, and decision-support tools.
• Collaborate with cross-functional stakeholders across Customer Service & System Performance, Finance, Strategy, and Investor Relations to align analytics initiatives with business objectives.
• Monitor emerging technologies, industry trends, AI advancements, and regulatory developments to continuously evolve analytics practices and capabilities.
• Support team development through mentoring, knowledge sharing, documentation, training materials, and promotion of analytics and AI best practices.
• Provide analytical leadership and expert guidance on complex operational and business challenges with significant financial and operational implications.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences, including senior leadership.

Scope and Impact

• Provides technical leadership, mentorship, and analytical guidance to junior and intermediate team members without direct supervisory responsibility.
• Serves as a key contributor within a collaborative analytics and operations environment supporting enterprise-wide optimization initiatives.
• Exercises independent judgment in evaluating and resolving complex analytical and operational issues.
• Maintains a broad understanding of business operations, technical systems, financial performance drivers, customer impacts, and regulatory requirements.
• Supports major pipeline systems across Canada and the United States, including liquids pipeline operations and related business entities.
• Influences senior stakeholders by translating complex metrics, operational trade-offs, and system behaviors into meaningful business insights and recommendations.

Qualifications

• Required
  • Bachelor's degree in Engineering, Finance, Economics, Data Analytics, Computer Science, or a related discipline.
  • Minimum of 7 years of experience in pipeline operations, midstream energy, operational analytics, or a related field with increasing levels of responsibility.
  • Experience analyzing operational and near real-time data from systems such as AVEVA PI System, SCADA platforms, or similar operational technologies.
  • Advanced proficiency in SQL and Python, with hands-on experience developing analytical workflows in cloud-based analytics environments, preferably Databricks.
  • Strong Excel expertise, including automation and analysis using VBA.
  • Demonstrated experience developing dashboards and analytics solutions using Power BI or similar business intelligence tools.
  • Practical experience utilizing AI-enabled analytics solutions and Copilot agents to automate analysis, explain metrics, and support scenario modeling.
  • Strong capability in developing what-if analyses and sensitivity models to assess operational, market, and regulatory impacts.
  • Excellent communication and presentation skills with the ability to translate complex analytics into executive-level insights and recommendations.
  • Proven ability to work independently on complex initiatives while collaborating effectively across cross-functional teams.
• Preferred
  • Industry-recognized certifications in cloud analytics, data engineering, or applied analytics, such as:
    • Databricks Data Engineer
    • Microsoft Azure Data Engineer
    • Certified Analytics Professional (CAP)
  • Knowledge of pipeline operational performance drivers, including throughput, capacity utilization, system reliability, maintenance effectiveness, and operational performance metrics.

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