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Data Analytics Teaching Assistant Jobs in Calgary, AB

Data Elephant Inc

Business Analyst

Calgary, AB

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 ...

TELUS

L3 Data Management (GCP)

Calgary, AB · On-site +1

... 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 ...

WinSport

HRIS & Data Analyst

Calgary, AB · On-site

Provide analytics, dashboards, and data visualizations to inform workforce planning, compliance ... * Assist with benefit enrollments, changes, and terminations as needed. Records Management

KPMG

Senior Consultant, Forensics

Calgary, AB

Prepare and assist in examinations * Leverage data analytics tools and techniques. * Review or produce financial reports as an independent expert. * Plan and supervise the drafting of reports for ...

Veresen

Senior Market Risk Analyst

Calgary, AB · Hybrid

Contribute to the development of the strategy and roadmap for data quality and data analytics, data ... * Assist with the management, validation, and maintenance of reference data, forward price curves ...

Parsons

Environmental Data & GIS Specialist

Calgary, AB · On-site +1

Use GIS and associated software to produce, display, and analyze geographic information to support ... Support development or maintenance of GIS-based tools and applications, and assist with integration ...

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All JobsData Analytics Teaching JobsData Analytics Teaching Assistant JobsData Analytics Teaching Assistant Jobs in Calgary, AB

Data Analytics Teaching Assistant information

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

AspectData Analytics Teaching AssistantData Analyst
Required CredentialsOften a bachelor's degree in related field; some roles prefer coursework in data analytics or educationBachelor's or higher in data science, statistics, or related field; certifications like CAP or Microsoft Data Analyst
Work EnvironmentEducational settings, assisting instructors, supporting studentsCorporate, finance, healthcare, or tech industries analyzing data for business insights
Employer & Industry UsageUniversities, colleges, online education platformsBusinesses, consulting firms, government agencies
Common Search & Comparison IntentUnderstanding teaching roles in data analytics educationAnalyzing data for decision-making in organizations

The main difference is that a Data Analytics Teaching Assistant supports educational activities and helps students learn data concepts, while a Data Analyst focuses on analyzing data to generate insights for organizations. The roles overlap in required skills and certifications but differ significantly in work environment and primary responsibilities.

What are the key skills and qualifications needed to thrive as a data analytics teaching assistant?

To thrive as a Data Analytics Teaching Assistant, you need a strong foundation in data analysis, statistics, and a relevant degree or equivalent experience. Familiarity with tools like Python, R, SQL, Excel, and platforms such as Tableau or Power BI is typically required, along with knowledge of course management systems. Excellent communication, patience, and the ability to explain complex concepts clearly are crucial soft skills. These competencies ensure effective student support, foster learning, and contribute to successful course delivery.

What are the main challenges a data analytics teaching assistant might face when supporting students in a classroom setting?

As a Data Analytics Teaching Assistant, one of the main challenges is addressing the varying levels of technical proficiency among students. You may need to tailor explanations and provide additional resources for those struggling with complex concepts like data visualization or statistical analysis. Balancing your time between answering individual questions, assisting with group projects, and supporting the lead instructor can also be demanding. Developing strong communication and organizational skills is essential for effectively helping students and ensuring a positive learning environment.

What is a data analytics teaching assistant?

Data Analytics Teaching Assistants are professionals who support instructors and students in courses focused on data analytics. They help clarify complex topics such as data cleaning, visualization, and statistical analysis, and often assist with grading assignments, hosting office hours, and providing feedback. Their role is essential in ensuring students understand key concepts and succeed in their studies. Teaching assistants may also guide students in using popular data analytics tools like Excel, Python, or Tableau. Overall, they act as a bridge between the instructor and students, enhancing the learning experience.
What are popular job titles related to Data Analytics Teaching Assistant jobs in Calgary, AB? For Data Analytics Teaching Assistant jobs in Calgary, AB, the most frequently searched job titles are:
What job categories do people searching Data Analytics Teaching Assistant jobs in Calgary, AB look for? The top searched job categories for Data Analytics Teaching Assistant jobs in Calgary, AB are:
Data Analytics Teaching Assistant jobs near you

Business Analyst

Data Elephant Inc

Calgary, AB

Contractor

Re-posted 26 days ago

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.

Apply