Team Lead, Analytics

Strathcona Resources Ltd. ("Strathcona") is a Calgary, Alberta based oil and gas production and development company focused on maximizing oil and gas recovery from its low decline, high free cash flow oil and gas resource base. Strathcona's operations, infrastructure and land position are focused in Alberta and Saskatchewan.

Strathcona is always looking for people focused on growth, both personal and professional. Those who love a challenge and get excited at the prospect of collaborating with talented people to continuously improve and innovate on tasks both large and small.

We are seeking an experienced Team Lead, Analytics to lead our data analytics function in Calgary. Reporting to the Manager, Measurement, Analytics & Technology, you will manage a data team who deliver actionable insights and data solutions across Strathcona's business units.

As a hands-on leader with strong analytical skills and operational experience, you will ensure your team delivers prompt, accurate, and reliable dashboards, visualizations, and analytical tools that optimize asset performance and enable informed decision-making. You will also support emerging operational AI initiatives, helping to integrate advanced analytics capabilities into business operations.

Responsibilities:

Leadership & Team Management

• Lead, mentor, and develop a data team supporting various business units and corporate groups
• Recruit, onboard, and retain talent aligned with Strathcona's high-performance culture
• Set clear performance objectives, provide coaching and feedback, and conduct performance reviews
• Allocate resources and prioritize work effectively across competing business needs
• Foster a collaborative team environment that encourages continuous improvement and professional growth

Analytics Delivery & Technical Oversight

• Oversee the design, creation, and publication of engineering visualization displays (dashboards) and reports to monitor and improve asset performance and deliver actionable insights
• Guide the team in selecting appropriate analytical techniques, statistical methods, and visualization approaches
• Maintain hands-on technical involvement in high-priority or complex analytics initiatives

Operational Support & Business Partnership

• Leverage operational experience to translate operational challenges into analytical solutions
• Collaborate with operational and corporate teams to identify, track, and visualize key performance metrics
• Present insights, recommendations, and analytics capabilities to technical teams and leadership
• Identify and define new data process opportunities that improve operational efficiency and decision-making

AI & Advanced Analytics Support

• Support operational AI initiatives by helping integrate AI capabilities into business operations and workflows
• Collaborate with AI/ML teams to understand requirements and facilitate adoption of AI solutions
• Help identify use cases where AI and advanced analytics can drive operational value
• Bridge the gap between traditional analytics and emerging AI capabilities

Data Quality & Governance

• Ensure team adherence to data governance processes, standards, and best practices
• Oversee data quality and completeness for business analytics, serving as liaison for data quality issues
• Own the business data and be the key liaison for issues related to data quality and completeness
• Guide the team in acquiring data from primary or secondary data sources and validating data integrity

Requirements:

Education and Experience

• Bachelor's degree in engineering, Geoscience, Data Science, Statistics, Mathematics, or related field is an asset
• 8-10+ years of progressive experience in data analytics within the oil and gas industry
• 2-3+ years of people leadership experience, including managing and developing analytical teams

Competencies

• Strong experience with data visualization and BI tools such as Tableau, Spotfire, and Power BI
• Advanced proficiency in SQL & Python as asset
• Experience with statistical analysis techniques and identifying actionable insights from complex data sets
• Exposure to modern cloud data architecture such as AWS, Azure
• Experience with cloud data platforms like Databricks or Snowflake
• Familiarity with AI/ML concepts and applications in operational settings
• Strong leadership and people management skills with ability to inspire and develop talent
• Business acumen and understanding of how analytics drives operational decisions

Great things aren't done by one person, they're done by a team.

Strathcona is committed to developing a high-performance culture through collaboration, trust, and agility. We value our work, our communities, and our commitments – but most of all, we value the team of people who make what we do possible.

Apply to Strathcona

If you have what it takes to be a great Strathcona team member, we want to hear from you. We appreciate all interest in this opportunity but only those selected to advance through the process will be contacted.