Data Analyst (12-month contract)

ARC Resources Ltd.; Calgary; On-site; CAD 70,000 - 90,000; Full time

Job summary

A Canadian energy company is seeking a Data Analyst for a 12-month term to enhance analytics capabilities. The successful candidate will be responsible for developing models and conducting exploratory analyses to support data-driven decisions. Candidates should possess a relevant degree, proficiency in Python and SQL, and have at least 3 years of data experience. This role emphasizes collaboration and innovation in the energy sector.

Benefits

Focus on health and well-being

Culture of caring and high performance

Opportunities for career growth

Qualifications

• Minimum of 3 years of experience in data analytics with strong analytical methodologies understanding.
• Hands-on experience with collaborative analytics workflows.
• Demonstrated ability to work with cross-functional teams.

Responsibilities

• Design and maintain scalable data pipelines for real-time and batch processing.
• Leverage statistical techniques and machine learning to derive actionable insights.
• Develop dashboards and visualizations for non-technical stakeholders.

Skills

Proficiency in Python

Proficiency in SQL

Strong communication skills

Experience with Databricks

Education

Bachelor's or Master's degree in data science, computer science, statistics, engineering, or a related field

Tools

Databricks

Visualization tools

Job description

THE OPPORTUNITY

We are currently seeking a Data Analyst for a 12‑month term to join our Data Analytics team. Reporting to the Supervisor, Advanced Analytics, this role will be responsible for developing models, conducting exploratory analysis, and solving operational challenges that support data‑driven decision‑making across the organization. The successful candidate will bring strong analytical and technical expertise, paired with a deep curiosity for uncovering insights and driving value through data. This role will play a key part in advancing ARC’s analytics capabilities while fostering collaboration and supporting the growth of a data‑informed culture.

RESPONSIBILITIES

Pipeline Development & Operational Efficiency

• Design and maintain scalable data pipelines that support real‑time and batch processing, enabling rapid iteration and deployment of economic models.
• Integrate cost regressors and depletion indices to support budget forecasting, long‑term development planning, and scenario analysis for strategic planning.

Prototype to Production

• Rapidly prototype and refine experimental models based on evolving business needs and feedback loops.
• Collaborate with data engineers to transition validated pipelines and models into production environments, ensuring reliability, scalability, and performance.
• Support ongoing monitoring and optimisation of production systems to maintain economic relevance and strategic alignment.

Economic Impact & Predictive Modeling

• Leverage statistical techniques, machine learning models, and predictive analytics to transform large datasets into actionable insights that drive capital efficiency, optimise well design, and inform strategic decisions.
• Develop simulations and forecasting tools that quantify economic outcomes across a range of design and operational scenarios.

Business Enablement & Decision Support

• Partner with SMEs, engineers, and analysts to ensure data readiness and model feasibility for strategic initiatives.
• Develop dashboards, interfaces, and visualisations that communicate complex economic insights to non‑technical stakeholders, enabling data‑driven decision‑making.
• Promote adoption of analytical tools through change management and training, embedding data science into core business processes.
• Champion innovation by exploring emerging technologies and methodologies that enhance economic modelling and strategic forecasting.
• Document model workflows, data sources, and solution architectures to support transparency, reproducibility, and knowledge sharing across teams.

WHAT YOU WILL BRING TO ARC

• A bachelor's or master's degree in data science, computer science, statistics, engineering, or a related field.
• A minimum of 3 years of experience in data, with a strong understanding of analytical methodologies and economics.
• Proficiency in Python and SQL, with experience using visualisation tools to communicate insights effectively.
• Hands‑on experience with Databricks to support collaborative analytics workflows.
• Strong communication skills and a demonstrated ability to collaborate with cross‑functional teams.

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 organisation’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 talent acquisition process.