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Remote Data Analytics Intern Jobs in Ottawa, ON (NOW HIRING)

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

This is a permanent position that is completely remote! Our client is a fintech company based out ... Strong analytical skills working with unstructured data sets * Knowledge of relational (PostgreSQL ...

With over 2,000 members, including Canada's largest cities, small urban areas, rural and remote ... Perform initial quantitative and qualitative analysis of program data and data collected from ...

With over 2,000 members, including Canada's largest cities, small urban areas, rural and remote ... Perform initial quantitative and qualitative analysis of program data and data collected from ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

This is a permanent position that is completely remote! Our client is a fintech company based out of Vancouver. You'll have the opportunity to work on an amazing platform that combines Data Analytics ...

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

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Remote Data Analytics Intern information

What does a remote data analytics intern do?

A Remote Data Analytics Intern assists companies in collecting, processing, and analyzing data to support business decisions, all while working from a remote location. Their responsibilities often include cleaning datasets, creating reports, visualizing data trends, and sometimes developing predictive models under the guidance of experienced analysts. Interns use tools like Excel, Python, R, or SQL to handle data tasks and may participate in virtual meetings to discuss findings and recommendations. This role helps interns gain practical experience in data analysis, problem-solving, and communication within a professional remote setting.

What are the key skills and qualifications needed to thrive as a remote data analytics intern, and why are they important?

To thrive as a Remote Data Analytics Intern, you need foundational knowledge in statistics, data analysis, and proficiency with data manipulation, typically supported by coursework in data science or a related field. Familiarity with tools such as Excel, SQL, Python, and data visualization platforms like Tableau is often expected. Strong communication, time management, and self-motivation are crucial soft skills for collaborating remotely and delivering results independently. These skills enable effective data-driven insights and ensure productivity in a virtual work environment.

What are some common challenges faced by remote data analytics interns and how can they overcome them?

Remote Data Analytics Interns often encounter challenges like maintaining clear communication with team members, staying self-motivated, and accessing necessary data or tools. To overcome these, it's important to proactively schedule check-ins with supervisors, utilize collaboration platforms (like Slack or Microsoft Teams), and clarify data access protocols early on. Setting a structured daily routine and keeping detailed notes can also help interns stay organized and productive while working remotely.

What is the difference between Remote Data Analytics Intern vs Remote Data Analyst?

AspectRemote Data Analytics InternRemote Data Analyst
Required CredentialsTypically pursuing or recently completed a degree in data science, statistics, or related fieldOften holds a degree and may have some professional experience in data analysis
Work EnvironmentInternship, often part-time or temporary, with mentorship and trainingFull-time or part-time remote role with independent responsibilities
Employer & Industry UsageUsed by companies for entry-level training and talent pipelineUsed by organizations for ongoing data analysis and decision support

The main difference between a Remote Data Analytics Intern and a Remote Data Analyst lies in experience and responsibilities. Interns are typically students or recent graduates gaining practical experience, while Data Analysts are more experienced professionals performing ongoing data analysis tasks. Internships serve as training roles, whereas Data Analysts handle continuous, independent work in data-driven decision-making.

What are popular job titles related to Remote Data Analytics Intern jobs in Ottawa, ON?

For Remote Data Analytics Intern jobs in Ottawa, ON, the most frequently searched job titles are:

What cities near Ottawa, ON are hiring for Remote Data Analytics Intern jobs?

Cities near Ottawa, ON with the most Remote Data Analytics Intern job openings:

Infographic showing various Remote Data Analytics Intern job openings in Ottawa, ON as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution.

Data Analytics Engineer - Corporate Data Analytics Group

Canadian Bank Note Company

Nepean, ON โ€ข On-site, Remote

Full-time

Medical, Life, Retirement

Re-posted 28 days ago


Job description

Company Description

Canadian Bank Note Company (CBN) is a leader and trusted provider of secure document and adjacent enterprise-level system solutions across the following domains: border security, civil identity, driver licence/identification and vehicle information, excise control, currency, lotteries and charitable gaming.

Our Corporate Philosophy and 7 Core Principles shape and guide our corporate behaviours and underpin the sense of community you will experience at CBN. We seek long-term relationships with our employees and offer a competitive compensation package that includes health, medical and life insurance benefits and a defined contribution pension plan with company matching.

Job Description

Internal Job Title: Data Analytics Engineer

Job Type: Permanent, Full-time

Location: Ottawa, Ontario

Work Model: Remote

Job Status: Existing Vacancy

Position Summary

The Data Analytics Engineer plays a critical role in preparing enterprise data to be AI-ready by designing rich semantic layers and business context that enable advanced analytics, self-service BI, and AI-powered decision-making. This role focuses on transforming curated data into trusted, governed, and reusable data products that can be safely consumed by business users, copilots, and machine learning models across the organization.

Key Responsibilities

Business Partnership & Domain Alignment

  • Partner with business stakeholders to translate domain knowledge into structured analytical and semantic representations.

Semantic Modeling & Data Foundation

  • Design, develop, and maintain enterprise semantic models that represent business meaning, metrics, and relationships across data domains.
  • Collaborate with data engineers to shape silver and gold datasets that support semantic clarity and downstream AI consumption.
  • Build AI-ready data products by enriching datasets with business definitions, hierarchies, metadata, and contextual logic.

BI Development & Metric Standardization

  • Develop and optimize Power BI semantic models, datasets, and metric layers to support BI, Copilot, and AI use cases.
  • Create and manage standardized KPIs and calculations using DAX, ensuring consistency and reuse across analytics and AI workloads.
  • Document business logic, data definitions, and metric context to support discoverability and AI-assisted querying.

Governance, Security & Trusted Data

  • Implement data governance controls including row-level security (RLS), object-level security, sensitivity labels, and certified datasets.

Data Product Enablement & AI Integration

  • Publish trusted semantic models and datasets to enable self-service and AI-assisted analytics at scale.
  • Support integration of analytics models with AI and ML workflows, including retrieval-augmented generation (RAG) scenarios.

Performance Optimization & Reliability

  • Monitor and optimize model performance, refresh reliability, and query efficiency.

Standards & Continuous Improvement

  • Contribute to analytics and AI standards and best practices through the Data & AI Community of Practice.
Qualifications

Mandatory Requirements

  • Legally eligible to work in Canada.
  • Fluent in English (speak, read, write).
  • Able to obtain (in a timely manner) and maintain Government of Canada Secret (Level II) security clearance.

Minimum Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.
  • Understanding of the following:
    • Semantic modeling concepts including metrics, hierarchies, and dimensional modeling.
    • Data governance principles and secure data access patterns.
  • 8+ years of relevant professional experience, including:
    • 3+ years of professional experience in analytics, business intelligence, or data modeling roles.
    • 3+ years of hands-on experience with Power BI semantic modeling, DAX, and dataset design.
    • 3+ years of experience working with SQL-based analytical datasets.
    • Ability to translate business concepts into structured analytical and semantic representations.

Preferred Qualifications

  • Microsoft Certifications:
    • Power BI Data Analyst Associate (PL-300) or Fabric Analytics Engineer Associate (DP-600).
  • Knowledge of data catalogs, business glossaries, and metadata management.
  • Experience with the following:
    • Microsoft Fabric semantic models, OneLake, and data products.
    • Preparing datasets for AI/ML or Copilot scenarios (e.g., feature tables, RAG inputs).
    • Manufacturing, software, or regulated environments.

Additional Information

Equal Opportunity Statement

Our organization is committed to employment equity and diversity in the workplace. We actively encourage applications from women, Indigenous Peoples, persons with disabilities, members of visible minorities, and LGBTQ2+ individuals.

We are dedicated to removing barriers and fostering an inclusive workplace that reflects society and we are committed to providing an accessible and inclusive recruitment process in accordance with the Accessibility for Ontarians with Disabilities Act (AODA).

If you require accommodation at any stage of the hiring process, please contact us at recruitment@cbnco.com so that appropriate arrangements can be made.

AI Use in Recruitment Statement

As part of our commitment to transparency and fairness in hiring, we disclose that artificial intelligence (AI) tools may be used at certain stages of our recruitment process. These tools assist in tasks such as resume screening, candidate matching, and interview scheduling. All AI-assisted decisions are subject to human oversight to ensure fairness, accuracy, and compliance with applicable laws.

We are committed to the responsible, transparent, and accountable use of AI, in alignment with Ontario’s Responsible Use of Artificial Intelligence Directive and the requirements under the Working for Workers Four Act. This includes taking steps to mitigate bias, protect candidate privacy, and ensure that AI does not unfairly influence hiring outcomes.

If you have questions or concerns about how AI is used in our hiring process, please contact us at recruitment@cbnco.com .