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2027 Data Analytics & AltaGas - 2027 Process Automation Co-op Student

  • Calgary, AB
  • On-site
  • Posted Oct 9, 2026
  • 1 position

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Employment type
Internship / apprenticeship, Full-time
Experience level
Entry, Junior · 0+ years
Minimum education
Bachelor’s degree
Apply by
Oct 22, 2026
Posting language
English
Working hours
40 hours per week

Job summary

The student will support data analytics, business intelligence, and process automation initiatives to improve project performance and operational efficiency. They will also assist in developing dashboards, managing data quality, and collaborating with project teams to streamline workflows.

Job details

Job Description Number of Positions: 1 Term: 4 Months Start Date: January 2027 About the Role At AltaGas, data plays a critical role in supporting project delivery, operational performance, and business decision-making. As a Data Analytics & Process Automation Co-op Student, you'll work closely with Midstream project teams to support data analytics, business intelligence, process improvement, and automation initiatives. This role offers a unique opportunity to combine technical and business skills while gaining exposure to project controls, cost management, benchmarking, reporting, and field operations. You'll work with data from multiple sources to help improve reporting, streamline processes, and develop solutions that drive efficiency across the project portfolio. What You'll Do As a Data Analytics & Process Automation Co-op Student, you will: Support data analytics and reporting initiatives related to project performance, cost tracking, key performance indicators (KPIs), and project portfolio management. Assist with benchmarking activities by organizing, validating, and preparing data for meaningful analysis and comparison. Help develop dashboards and reporting solutions using Microsoft Fabric and Power BI by integrating data from multiple systems and sources. Support database development, data organization, and data quality initiatives to improve reporting and business decision-making. Contribute to process improvement and automation initiatives that reduce manual effort and improve operational efficiency. Support the LEMS Automation Initiative by analyzing labour, equipment, and material tracking processes and identifying opportunities for automation and workflow improvements. Assist in developing process documentation, playbooks, training materials, and onboarding resources to support LEMS adoption. Contribute to initiatives aimed at reducing invoice processing and validation time through automation and streamlined workflows. Collaborate with project, construction, and business teams to identify technology-enabled solutions that improve project execution and reporting. Participate in site visits to gain a deeper understanding of field operations and the processes that support project reporting and controls. What You'll Bring Currently enrolled in the second or third year of an undergraduate degree program in Data Analytics, Data Science, Computer Science, Software Engineering, Computer Engineering, Business Analytics, Statistics, Engineering, Artificial Intelligence, or a related discipline. Strong analytical, problem-solving, and organizational skills. Interest in data analytics, business intelligence, artificial intelligence, automation, and process improvement. Ability to work with large datasets and translate information into meaningful insights. Strong verbal and written communication abilities. Ability to work both independently and collaboratively in a team environment. Experience with Microsoft Office applications, particularly Excel. Exposure to Power BI, Microsoft Fabric, SQL, Python, data visualization tools, or automation technologies is considered an asset. Exposure to project controls, estimating, cost management, construction, or infrastructure projects is considered an asset. What You'll Gain Hands-on experience supporting high-impact projects across AltaGas' Midstream business. Exposure to data analytics, business intelligence, process automation, artificial intelligence, and emerging technologies. Opportunities to work with project, construction, engineering, and business teams across the organization. Experience developing dashboards, reporting solutions, automation tools, and business process improvements that support strategic decision-making. Exposure to field operations and project execution environments. Mentorship, coaching, and professional development opportunities. The opportunity to build your network and develop skills that will support your future career. #LI-INTERNS For Canadian hires: AltaGas hires personnel on the basis of job-related qualifications. All qualified applicants will receive consideration without regard to a person's ancestry, place of origin, colour, ethnic origin, citizenship, creed, sex, sexual orientation, gender identity or expression, age, record of offences, marital status, family status or disability or any other characteristic protected by applicable law. For U.S. hires: WGL/SEMCO/AltaGas offers a total rewards package that includes competitive pay, incentive bonus plans, holiday pay, 401K matching and a wide array of benefits. These benefits including medical, dental and vision coverage are designed to help you and your family stay healthy. We also have paid time off (PTO) to balance the demands of your work and personal life. Available benefits vary depending upon the specifics of the role. U.S. affiliates of AltaGas are committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, ethnicity, religion, gender, age, national origin, marital status, sexual orientation, gender identity, family responsibilities, matriculation, physical or mental disabilities, political affiliation, genetic information, status as a protected veteran or any other characteristic protected by federal, state, or local law.

What you’ll do

The student will support data analytics, business intelligence, and process automation initiatives to improve project performance and operational efficiency. They will also assist in developing dashboards, managing data quality, and collaborating with project teams to streamline workflows.

Requirements

Candidates must be currently enrolled in the second or third year of an undergraduate degree program in a relevant field such as Data Analytics, Computer Science, or Engineering. Strong analytical, problem-solving, and communication skills are required, along with experience in Microsoft Office applications.

Benefits

  • Mentorship
  • Coaching
  • Professional development

Listed skills

  • Power BI · Preferred
  • SQL · Preferred
  • Python · Preferred
  • Data visualization · Preferred
  • Process Improvement · Preferred
  • Reporting · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

  • Data analytics
  • Business intelligence
  • Process automation
  • Power BI
  • Microsoft Fabric
  • SQL
  • Python
  • Data visualization
  • Project controls
  • Cost management
  • Process improvement
  • Data quality
  • Reporting
  • Benchmarking
  • Workflow optimization
  • Project Documentation
  • Operational Efficiency
  • Operational Performance Management
  • Strategic Decision Making
  • Workflow Management
  • Organizational Skills
  • Reporting Solutions
  • Project Controls
  • Time Off Management
  • Project Implementation
  • Emerging Technologies
  • Project Performance
  • Project Delivery
  • Artificial Intelligence
  • Data Analysis
  • Automation
  • Business Intelligence
  • Cost Management
  • Business Analytics
  • Dashboard
  • Business Process Automation
  • Business Process Improvement
  • Decision Making
  • Computer Science
  • Computer Engineering
  • Construction Engineering
  • Data Quality
  • Data Visualization
  • Database Development
  • Invoicing
  • Problem Solving
  • Python (Programming Language)
  • Key Performance Indicators (KPIs)
  • Mentorship
  • Microsoft Office

Job areas

  • Data & Analytics
  • Energy
  • Technology
  • Engineering
  • Software
  • Process Automation Analyst
  • Data Analyst
  • Statistical, Mathematical and Related Associate Professionals
  • Business Intelligence Analysts
  • Data Scientists

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