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Assistant Data Analyst Jobs in Calgary, AB (NOW HIRING)

Support data platform modernization initiatives. * Help clients identify and prioritize analytics and AI use cases. * Contribute to business cases and roadmap development. * Assist with change ...

Support cross functional stakeholders with scalable reporting architecture * Assist in high-priority analytics platform issues Who you are: * You are an expert in Power BI data modeling and Power BI ...

... analytics solutions to our teams. Support consultants will work as part of the CDST to assist clients facing teams with data extraction, transformation, and load capabilities into our various audit ...

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... analytics models, and applications * Apply and follow best practices for automated regression testing to ensure the reliability and accuracy of data solutions * Assist in implementing change ...

Formulate process and assess progress against goals and objectives. Assist in the development of recommendation of overall strategies for implementation. * Analyze data and identify opportunities for ...

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Assistant Data Analyst information

See Calgary, AB salary details

$10

$26

$60

How much do assistant data analyst jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for assistant data analyst in Calgary, AB is $26.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.07 and $30.05 per hour, depending on experience, location, and employer.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What are the key skills and qualifications needed to thrive as an assistant data analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.
What are the most commonly searched types of Data Analyst jobs in Calgary, AB? The most popular types of Data Analyst jobs in Calgary, AB are:
Infographic showing various Assistant Data Analyst job openings in Calgary, AB as of August 2026, with employment types broken down into 87% Full Time, and 13% Temporary. Highlights an 100% In-person job distribution, with an average salary of $55,551 per year, or $26.7 per hour.

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Job description

Data Elephant is one of Canada's leading Data, Analytics & AI consulting firms, helping organizations modernize their data platforms, unlock business value from data, and accelerate AI adoption.


We partner with industry-leading technologies including AWS, Databricks, and Microsoft to deliver pragmatic, business-focused solutions.



Data Elephant is seeking a Senior Business Analyst to join our growing consulting team. This role is ideal for an experienced BA who thrives at the intersection of business strategy, process improvement, data, analytics, and technology.


You will work directly with client stakeholders, project teams, data engineers, architects, and analytics specialists to define business requirements, map business processes, improve data quality, and support the delivery of modern analytics and AI solutions.

This is a highly consultative role requiring strong communication skills, business acumen, and the ability to translate complex business needs into actionable requirements for technical teams.


Business Analysis & Stakeholder Engagement

  • Lead discovery workshops and stakeholder interviews.
  • Elicit, document, and validate business requirements.
  • Translate business objectives into functional and non-functional requirements.
  • Facilitate alignment between business and technical teams.
  • Support solution design and implementation activities throughout the project lifecycle.


Process Analysis & Process Mapping

  • Document current-state and future-state business processes.
  • Identify inefficiencies, bottlenecks, and improvement opportunities.
  • Facilitate business process optimization initiatives.
  • Create process maps, workflows, user journeys, and business capability models.


Data & Analytics

  • Gather and document data, reporting, analytics and ML/AI requirements.
  • Assess data quality issues and support data governance initiatives.
  • Define KPIs, business metrics, and reporting requirements.
  • Collaborate with technical teams to ensure analytics solutions align with business needs.
  • Support user acceptance testing and solution validation.


Data Modernization & AI Projects

  • Support data platform modernization initiatives.
  • Help clients identify and prioritize analytics and AI use cases.
  • Contribute to business cases and roadmap development.
  • Assist with change management and user adoption activities.


Required Experience

  • 6+ years of Business Analysis experience.
  • Proven experience leading requirements gathering and stakeholder engagement activities.
  • Strong process mapping and business process improvement experience.
  • Experience working on data, analytics, reporting, or data modernization projects.
  • Strong understanding of data quality concepts and challenges.
  • Experience defining KPIs, business metrics, and reporting requirements.
  • Excellent communication, facilitation, and documentation skills.
  • Ability to manage multiple stakeholders and priorities in a consulting environment.



Experience in one or more of the following industries is highly desirable:

  • Energy, Mining, Construction or Utilities
  • Experience across Finance, Supply Chain, Commercial Trading/Energy trading an asset
  • Experience working with reporting and BI tools including Genie, AI/BI, PowerBI and Tableau an asset


You are someone who:

  • Asks great business questions before proposing solutions.
  • Can quickly understand complex business processes and data flows.
  • Bridges the gap between executives, business users, and technical teams.
  • Is passionate about helping organizations become more data-driven.
  • Thrives in a fast-paced consulting environment.
  • Enjoys solving complex business and data challenges.


Why Work with Us?

  • Work on impactful data, analytics, and AI projects across Canada's most important industries.
  • Collaborate with experienced consultants, architects, and data specialists.
  • Gain exposure to leading cloud and data platforms including Databricks, AWS, and Microsoft.
  • Flexible work environment.
  • Opportunity to grow your career in one of Canada's fastest-growing data and AI consulting firms.