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Entry Level Systems Analyst Jobs in Alberta (NOW HIRING)

Enter and update employee and patient data within computerized system * Respond professionally and ... applications, analyzing resumes, or assessing candidate responses. These tools assist our ...

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This is an entry-level role focused on building foundational estimating skills -- including ... Learn and effectively use the team's estimating systems, offering suggestions for improvement where ...

... systems are accurate and efficient. With a focus on financial reporting and analysis, this role is perfect for someone who thrives in a dynamic environment and is passionate about finance and ...

Leveraging Applicant Tracking Systems to build candidate pools and pipelines. * Manage multiple ... Ability to understand and interpret data, run reports, analyze trends, and identify actionable ...

Leveraging Applicant Tracking Systems to build candidate pools and pipelines. * Manage multiple ... Ability to understand and interpret data, run reports, analyze trends, and identify actionable ...

The Field consists of sour well production, gathering system and condensate stabilization ... Minimum 2 years of operational experience. Entry level may be considered. * Routine operational and ...

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Entry Level Systems Analyst information

See Alberta salary details

$12

$29

$59

How much do entry level systems analyst jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for entry level systems analyst in Alberta is $29.41, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $31.25 per hour, depending on experience, location, and employer.

What is an entry level systems analyst?

An Entry Level Systems Analyst is responsible for analyzing an organization's IT systems, identifying inefficiencies, and recommending improvements. They work closely with stakeholders to gather requirements, document processes, and support system implementation. This role often involves troubleshooting issues, assisting with software development, and ensuring technology aligns with business goals. Strong analytical skills, problem-solving abilities, and knowledge of computer systems are essential for success.

What does a typical day look like for an entry level systems analyst?

A typical day for an Entry Level Systems Analyst involves gathering and documenting user requirements, analyzing existing systems, and assisting with troubleshooting technical issues. You may work closely with senior analysts, developers, and business users to help design or improve workflows and support system upgrades. Most days include meetings for project updates, reviewing documentation, and testing software changes to ensure everything functions correctly. This collaborative and dynamic environment helps you quickly build foundational skills and prepares you for more advanced analyst roles in the future.

What are the key skills and qualifications needed to thrive as an entry level systems analyst?

To thrive as an Entry Level Systems Analyst, you should have strong analytical abilities, problem-solving skills, and a foundational understanding of information systems or computer science, typically supported by a relevant degree. Familiarity with database management systems, Microsoft Excel, SQL, and enterprise software, as well as certifications like CompTIA IT Fundamentals or entry-level ITIL, is often beneficial. Strong communication, attention to detail, and teamwork skills help candidates excel in collaborative technical environments. These abilities are essential for analyzing business processes, translating user requirements, and supporting successful system implementation.

Can I be an entry level systems analyst with no experience?

Entry level systems analyst positions often require little to no professional experience, focusing instead on foundational knowledge of IT systems, programming, or data analysis. Candidates typically need relevant coursework, internships, or certifications such as CompTIA or Microsoft to demonstrate their skills and readiness for the role.

How to become an entry level systems analyst with no experience?

To become an entry level systems analyst with no experience, focus on gaining foundational knowledge through a bachelor's degree in information technology, computer science, or related fields. Developing skills in systems analysis, programming, and database management, along with obtaining certifications like CompTIA or Microsoft, can improve your prospects; internships or entry-level IT roles also provide valuable experience.

What are the most commonly searched types of Systems Analyst jobs in Alberta?

The most popular types of Systems Analyst jobs in Alberta are:

What are popular job titles related to Entry Level Systems Analyst jobs in Alberta?

For Entry Level Systems Analyst jobs in Alberta, the most frequently searched job titles are:

What job categories do people searching Entry Level Systems Analyst jobs in Alberta look for?

The top searched job categories for Entry Level Systems Analyst jobs in Alberta are:

Infographic showing various Entry Level Systems Analyst job openings in Alberta as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $61,163 per year, or $29.4 per hour.

UDA Business Analyst - Students Seeking Opportunities

ExxonMobil

Calgary, AB • On-site

Full-time

Posted 6 days ago


ExxonMobil rating

6.0

Company rating: 6.0 out of 10

Based on 232 frontline employees who took The Breakroom Quiz

70th of 87 rated oil and gas companies


Job description

At Imperial, we work every day to responsibly develop Canada’s energy resources – applying technology and innovation to supply affordable, accessible and reliable energy while reducing emissions. Imperial recognizes the important role we can play by advancing climate solutions within our operations and by providing lower life-cycle emission products to our customers. This effort is powered by a unique and diverse workforce fueled by a pride in what we do and what we stand for. 

The success of our upstream, downstream and chemical, and corporate divisions is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies. 

Imperial honours diverse backgrounds so we can be a place where people can bring their full selves to work, no matter their identity, race, gender, sexual orientation, age, or ability.

At Imperial, we want you to come for the position and stay for the career. As an integrated company, we are uniquely positioned to offer you a wide range of career prospects and growth opportunities through the course of your career with us. We invite you to bring your ideas and help create sustainable solutions that improve quality of life and meet society’s evolving needs. 

Come be part of the Upstream and Global Operations Departments at Imperial which has more than 140 year history in Canada. Our offices are located across Canada.

What role you will play in our team


The Business Analyst Student will work as part of an integrated team within the Upstream Digital Accelerator, helping deliver digital innovation and solve operational challenges across our mining and in situ oil sands operations.
The student will collaborate with site operators, engineers, business stakeholders, data scientists, software developers, and management to understand business needs and translate them into practical digital solutions. Depending on the project, the student may help define requirements, map business processes, analyze data, develop business cases and project plans, coordinate activities, and design or prototype technology solutions.
Projects may involve artificial intelligence, data science, machine learning, mathematical optimization, analytics, robotics, automation, enterprise data platforms, and software development.
This role combines teamwork and stakeholder engagement with independent analysis and hands-on technical work. The ideal candidate is curious, collaborative, comfortable working through ambiguity, and interested in learning how technology can improve industrial operations.

What you will do

  • Work with business stakeholders, site personnel, engineers, and technical teams to understand operational challenges, user needs, and desired business outcomes.
  • Translate business needs into clear requirements, user stories, acceptance criteria, process maps, data requirements, and actionable work items.
  • Support the development of business cases, value assessments, project plans, delivery roadmaps, and implementation recommendations.
  • Help define project scope, objectives, assumptions, dependencies, risks, and success measures.
  • Collaborate with stakeholders and delivery teams to prioritize work based on business value, operational impact, technical feasibility, risk, and effort.
  • Collect, clean, analyze, and visualize operational and business data to identify trends, opportunities, root causes, and potential improvements.
  • Use analytics, business intelligence, statistical methods, and AI-enabled tools to support data-driven decisions.
  • Assist with the design, development, testing, and prototyping of analytics, automation, AI, optimization, or software solutions.
  • Develop and document process models, data models, analytical approaches, and solution workflows.
  • Evaluate and help integrate tools and technologies that improve workflows, productivity, decision-making, or operational performance.
  • Track work items, milestones, risks, issues, decisions, and dependencies, and provide clear progress updates.
  • Participate in solution testing, including validating requirements, analyzing results, documenting issues, and confirming that solutions meet user needs.
  • Help monitor the performance, reliability, adoption, and business value of delivered products or prototypes.
  • Create clear documentation, presentations, demonstrations, and training materials for technical and non-technical audiences.
  • Support meetings, workshops, interviews, demonstrations, and working sessions involving business and technical teams.
  • Follow company requirements for safety, cybersecurity, data governance, privacy, records management, and responsible AI.

About you

Skills and Qualifications

  • Currently enrolled in business analytics, computer science, data science, software engineering, engineering, mathematics, statistics, operations research, management information systems, or a related University program.
  • University student available for a work term beginning in January or May 2027
  • Currently enrolled in a university program and returning to full-time studies after the work term
  • To be considered for employment, your most recent unofficial transcript(s) must be submitted with your application
  • Able to gather business/stakeholder needs and turn them into clear requirements, user stories, process maps, or action plans.
  • Strong analytical, problem-solving, communication, and teamwork skills.
  • Experience with Python and SQL for data analysis, automation, development, or projects.
  • Basic understanding of: Statistics, Data visualization, Process/data modeling, Software requirements, Testing and quality assurance
  • Familiarity with project management and Agile practices (planning, prioritization, risk tracking, reporting).
  • Experience using development tools such as Git, GitHub, VS Code, or Jupyter Notebook.
  • Interest in AI, machine learning, analytics, optimization, automation, or software development.
  • Able to document and present technical information to both technical and non-technical audiences.
  • Curious, adaptable, organized, and comfortable learning new technologies.
  • Willing to travel occasionally and follow site safety requirements.

Preferred Qualifications/Experience 

  • Experience with cloud and enterprise data platforms such as Databricks, Snowflake, Microsoft Fabric, or Azure.
  • Experience with BI and visualization tools like Power BI or Tableau.
  • Knowledge of Generative AI, AI agents, prompt engineering, RAG, or responsible AI.
  • Experience with machine learning, forecasting, anomaly detection, predictive maintenance, or computer vision.
  • Knowledge of optimization, simulation, operations research, or mathematical modeling tools.
  • Experience with data engineering concepts such as data pipelines, APIs, data quality, governance, and metadata.
  • Familiarity with Agile tools and frameworks such as Azure DevOps, Scrum, or Kanban.
  • Experience with software testing, debugging, code reviews, and CI/CD practices.
  • Exposure to industrial sectors such as mining, energy, maintenance, reliability, process engineering, or operational technology data.

Work Location: Calgary, AB
 
 
Start Date: January or May 2027


Work term: 18 months


Other Considerations

  • For applicants selected to be interviewed, pre-employment background screening will be required
  • We thank all those who apply; however, only those candidates selected for interviews will be contacted
  • In certain situations, Imperial may use your application to consider your suitability for other positions in the company and may also provide the information to its affiliates, including affiliates of ExxonMobil Corporation, in connection with possible opportunities at those affiliates
  • To be considered for employment, your most recent unofficial transcript(s) must be submitted.
     


Application Deadline: September 30, 2026

Job Group Capability
Data Science, Digital & Analytics
Job Group
Computational & Data Sciences
Job Role Description
The AI Scientist Associate is responsible for developing solutions for well-defined AI problems with minimal supervision. Strong Python coding skills, familiarity with endorsed tools, and adherence to ExxonMobil AI best practices are required. Additionally, a solid understanding of AI fundamentals and hands-on experience in a specialized AI field are essential
Job Role Responsibilities
Conducts data acquisition, cleansing, exploratory data analysis (EDA), and feature engineering to gain insights from data for well‑defined AI problems
Trains physical, statistical, or machine‑learning models to meet defined metrics using endorsed Python libraries and other tools while following ExxonMobil AI best practices
Converts EDA outcomes and knowledge from business subject‑matter experts (SMEs) into model inputs (e.g. features)
Deploys solutions by collaborating with Machine Learning Engineers and supports sustainment activities
Documents throughout the lifecycle of the AI solution development process
Functional Skills
Applied Software Engineering for Data
Mathematical Framing of Business Problems
Deep & Reinforcement Learning
Machine Learning

Imperial is an Equal Opportunity Employer. Imperial is committed to providing equitable treatment and equal opportunity to all individuals and encourages all eligible applicants to apply.

Imperial conducts business in a manner that respects the land, environment, rights and cultures of Indigenous communities. In the areas where we explore, develop and operate, Imperial engages Indigenous communities in open and forthright consultation and strives to establish meaningful relationships built on mutual trust and respect. Please see here for more information on Imperial’s Indigenous Relations Guiding Principles and Guidelines.

Imperial is committed to supporting persons with disabilities throughout the recruitment process. We will work with qualified applicants to provide reasonable accommodation upon request at Recruit.Services.CA@exxonmobil.com.

Eligibility to work in Canada

All applicants who receive an offer of employment must be eligible to work in Canada on a regular full-time basis without restrictions on their start date.  Proof of eligibility shall be in the form of a Canadian birth certificate, Canadian passport, Canadian citizenship certificate, Canadian certificate of permanent residence, Canadian open work permit or receipt from Immigration Canada of an application for a post-graduate work permit. 

Proof of eligibility must be current and valid (not expired, cancelled or voided). Proof of eligibility will be required if an offer of employment is made. Failure to provide proof of eligibility at least six (6) weeks prior to the start date may result in the offer of employment being rescinded.

Job ID: 108615#LI-Onsite


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