Corporate Data Analytics Summer Student
ARC has had an exciting growth story driven by the contributions of our people, principled business strategy and high-performance culture. We are a Canadian energy company with a strong track record of operational and financial performance. Today, we are the largest pure-play Montney producer, and Canada’s third-largest natural gas producer and largest producer of condensate.
In alignment with our values, we are proud to produce Canadian energy safely and efficiently. Producing low-cost, reliable energy strengthens our resilience in the evolving global energy system, and enables ARC to create value for our people, shareholders, stakeholders and communities.
We have a long-term view and are committed to best-in-class performance in every aspect of our business. Following our guiding principles has shaped the company we are today and will underpin our success in the future. Through innovation, teamwork and a commitment to operational excellence, our people drive our company’s success. From the office to the field, our team of talented professionals work hard each day to safely execute our business and create positive and lasting impacts for our stakeholders.
At ARC, we know a diverse workforce drives better decision-making and stronger performance. We are building a workplace that creates a sense of belonging, promotes diversity of thought, and represents the experience and backgrounds of the communities where we live and work. To learn more about our commitment to diversity, equity and inclusion, please go to our website Diversity, Equity and Inclusion - ARC Resources.
THE OPPORTUNITY:
We are currently seeking a Corporate Data Analytics Summer Student to join our Information Technology team. Reporting to the Supervisor, Corporate Data and Analytics, the successful candidate will have strong analytical and communication skills, a passion for learning, and be able to work in a fast-paced environment. The work term will commence May 2025 and will last 4 months.
RESPONSIBILITIES:
- Develop dashboards for our departmental metrics and KPIs
- Optimize our CI/CD deployment pipelines to improve the delivery of development activities
- Develop and enhance our unit testing, data validation and governance processes to ensure the accuracy of our data portfolio
- Use Python scripting to manage enterprise-grade data engineering tasks
- Contribute to SQL scripting, including writing complex logic SQL statements, functions, triggers, and stored procedures
- Partner with Solution Architects, Data Developers and Visualization experts, to leverage the latest PAAS services, advanced DevOps practices, and data visualization technologies such as Power BI
WHAT YOU WILL BRING TO ARC:
- The position is ideally suited for students entering the third or fourth year of a Bachelor’s degree in Computer Science, Data Analytics, Business Technology Management, or a related field and are returning to school the following term
- Strong passion for data modelling and development with languages such as Python and PowerShell
- Familiarity and curiosity with cloud platforms including Azure, AWS, and GCP
- Experience in building data visualization dashboards
- Excellent problem-solving skills and the ability to approach complex challenges with a fresh perspective
REWARDING OPPORTUNITY:
- An opportunity to be part of delivering responsible energy by developing and growing your career with us
- Working collaboratively with, and learning from some of the most talented and experienced people in our industry
- A culture of caring and high performance
- Focus on health and well-being
- An environment where all individuals are treated fairly and respectfully, have equal access to opportunities and resources, feel a sense of belonging, and can contribute fully to the organization’s success
- Meaningful work that makes a difference in the Canadian energy industry
We thank you for your interest in ARC, however, only those candidates selected for an interview will be contacted. Accessibility accommodation for applicants is available upon request during the recruitment process.