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Remote Data Entry Insurance Jobs in Ottawa, ON (NOW HIRING)

Customer issues can span application functionality, data, integrations, environments, databases ... visas for entry into Canada, the United States, and the Caribbean. Salary: 60K - 75K AI ...

Customer issues can span application functionality, data, integrations, environments, databases ... visas for entry into Canada, the United States, and the Caribbean. Salary: 60K - 75K AI ...

Customer issues can span application functionality, data, integrations, environments, databases ... visas for entry into Canada, the United States, and the Caribbean. Salary: 60K - 75K AI ...

... insurance agency. We may use artificial intelligence (AI) tools to support parts of the hiring ... If you would like more information about how your data is processed, please contact us. apply for ...

... insurance agency. We may use artificial intelligence (AI) tools to support parts of the hiring ... If you would like more information about how your data is processed, please contact us. apply for ...

... insurance agency. We may use artificial intelligence (AI) tools to support parts of the hiring ... If you would like more information about how your data is processed, please contact us. apply for ...

... insurance agency. We may use artificial intelligence (AI) tools to support parts of the hiring ... If you would like more information about how your data is processed, please contact us. apply for ...

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Remote Data Entry Insurance information

See Ottawa, ON salary details

$9

$23

$57

How much do remote data entry insurance jobs pay per hour?

As of Aug 27, 2026, the average hourly pay for remote data entry insurance in Ottawa, ON is $23.55, according to ZipRecruiter salary data. Most workers in this role earn between $14.20 and $26.56 per hour, depending on experience, location, and employer.

What is a remote data entry insurance professional?

A Remote Data Entry Insurance job involves inputting, updating, and maintaining insurance-related data into digital systems while working from a location outside of a traditional office, such as from home. Responsibilities typically include entering policy information, claims details, and customer data accurately and efficiently. This role requires attention to detail, proficiency with data entry software, and a basic understanding of insurance terminology. Remote data entry positions offer flexibility and are ideal for individuals who are organized, self-motivated, and comfortable working independently.

What are the key skills and qualifications needed to thrive as a remote data entry insurance professional?

To thrive as a Remote Data Entry Insurance professional, you need strong attention to detail, data accuracy, and familiarity with insurance terminology, typically supported by a high school diploma or equivalent. Proficiency with data entry software, spreadsheet tools like Microsoft Excel, and insurance management systems is commonly required. Excellent time management, self-motivation, and strong written communication skills help individuals excel in a remote environment. These competencies ensure accurate processing of insurance information, reduce errors, and support efficient remote operations.

What are some common challenges faced by remote data entry professionals in the insurance industry, and how can they be overcome?

Remote data entry specialists in the insurance sector often face challenges such as maintaining data accuracy, managing large volumes of sensitive information, and staying connected with team members. Adhering to strict quality control processes and regularly verifying entries can help ensure data integrity. Utilizing secure communication tools and participating in virtual check-ins with supervisors and colleagues can foster collaboration and address any questions promptly. Staying organized and following established workflows also helps manage workload efficiently.

What is the difference between Remote Data Entry Insurance vs Remote Claims Processor?

AspectRemote Data Entry InsuranceRemote Claims Processor
Required CredentialsHigh school diploma, basic computer skillsHigh school diploma, knowledge of insurance policies
Work EnvironmentHome-based, computer-focusedHome-based, customer service and data review
Industry UsageInsurance companies, data management firmsInsurance companies, healthcare providers
Common Search IntentData entry jobs in insuranceInsurance claims processing jobs

Remote Data Entry Insurance involves inputting insurance data into systems, focusing on accuracy and speed. Remote Claims Processors handle reviewing and processing insurance claims, often requiring knowledge of policies. Both roles are home-based and involve insurance industry work, but they differ in responsibilities and skill requirements.

Are any remote data entry insurance jobs legit?

Remote data entry insurance jobs are legitimate opportunities that typically involve inputting insurance data using computer software and require attention to detail. However, job seekers should verify the employer's credibility, avoid jobs that require upfront payments, and be cautious of scams promising high pay for minimal work.

Are remote data entry insurance jobs legit?

Remote data entry insurance jobs are generally legitimate opportunities that involve inputting insurance-related information into digital systems. However, job seekers should verify the employer's credibility, avoid jobs that require upfront payments, and be cautious of scams promising high pay for minimal work. Using reputable job boards and researching companies can help ensure the job's legitimacy.

What are the most commonly searched types of Data Entry Insurance jobs in Ottawa, ON?

The most popular types of Data Entry Insurance jobs in Ottawa, ON are:

What job categories do people searching Remote Data Entry Insurance jobs in Ottawa, ON look for?

The top searched job categories for Remote Data Entry Insurance jobs in Ottawa, ON are:

What cities near Ottawa, ON are hiring for Remote Data Entry Insurance jobs?

Cities near Ottawa, ON with the most Remote Data Entry Insurance job openings:

Infographic showing various Remote Data Entry Insurance job openings in Ottawa, ON as of June 2026, with employment types broken down into 1% As Needed, 82% Full Time, 8% Part Time, 7% Temporary, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $48,989 per year, or $23.6 per hour.

Data Analytics Engineer - Corporate Data Analytics Group

Nepean, ON โ€ข On-site, Remote

Canadian Bank Note Company
Manufacturingย โ€ขย 1 - 5K employees

Full-time

Medical, Life, Retirement

Re-posted 5 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 .