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Remote Data Analyst Jobs in Hamilton, ON (NOW HIRING)

Senior Infrastructure Analyst

Ottawa, ON · Remote

$110K - $125K/yr

This is a permanent position, remote! Our client is a large fintech firm with a product that you've ... Servers, Data Centers and Storage to ensure our client has a robust, scalable and stable ...

Senior Infrastructure Analyst

Ottawa, ON · Remote

$110K - $125K/yr

This is a permanent position, remote! Our client is a large fintech firm with a product that you've ... Servers, Data Centers and Storage to ensure our client has a robust, scalable and stable ...

QA Analyst

Ottawa, ON · On-site +1

Hybrid Ottawa - Open to remote Key Tasks Create and execute test plans and scripts that validate ... data migration testing from one CRM instance to another Perform integration testing across ...

QA Analyst

Ottawa, ON · On-site +1

Hybrid Ottawa - Open to remote Key Tasks Create and execute test plans and scripts that validate ... data migration testing from one CRM instance to another Perform integration testing across ...

Analyser les impacts des modèles proposés sur les données opérationnelles; * Mettre à jour les modèles de données lorsque requis; * Exercer un rôle-conseil sur les modèles de données ...

Job Responsibilities: * Analysis and development of business "critical success factors ... About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

Job Responsibilities: * Analysis and development of business "critical success factors ... About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of ...

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 ...

Showing results 41-60

Remote Data Analyst information

See Hamilton, ON salary details

$10

$39

$67

How much do remote data analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for remote data analyst in Hamilton, ON is $39.76, according to ZipRecruiter salary data. Most workers in this role earn between $25.47 and $56.09 per hour, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

What are the most commonly searched types of Data Analyst jobs in Hamilton, ON?

The most popular types of Data Analyst jobs in Hamilton, ON are:

What cities near Hamilton, ON are hiring for Remote Data Analyst jobs?

Cities near Hamilton, ON with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Hamilton, ON as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $82,699 per year, or $39.8 per hour.

Lead Data Scientist - Growth & Experimentation

Fullscript

Ottawa, ON • Remote

Full-time

Retirement, PTO

Re-posted 8 days ago


Job description

About Fullscript

We're an industry-leading health technology company on a mission to help people get better. We started in 2011 with one simple idea. Make it easier for practitioners to access the products they trust so they can deliver better care.

That simple idea grew into a platform that powers every part of care. Today, more than 125,000 practitioners use Fullscript for clinical insights, lab interpretations, patient analytics, education, and access to high-quality supplements. Over 10 million patients rely on Fullscript to stay connected to their care plans and follow through on treatment.

We build tools that make care smarter and more human. Tools that save time, simplify decisions, and help practitioners stay closely connected to the people they care for. When everything they need is in one place, they can focus on what matters most: helping people get better.

This is your invitation.

Bring your ideas, your grit, and your care for people.
Join us and shape the future of care.
The Opportunity

We're hiring a Lead Data Scientist to be the analytics owner for one of Fullscript's fastest-growing segments.

This is a rare shape of role: the scope of a head of analytics with the autonomy of a senior IC. You'll partner directly with the GM, Finance, Product and Commercial leaders to answer the questions that determine where the business invests next. That starts with a deep understanding of who our customers are and how they actually use the product, and it runs through owning the experimentation engine that tests our bets.

The focus for this role is around using analytics to drive performance: understanding results, designing/executing experiments, and telling leadership what's true and what to do about it.

This role is a foundational hire - you'll shape how analytics operates in this segment, with the opportunity to grow the function over time.

What you'll do
  • Own experimentation (the heart of the role). Partner with Product and Commercial teams to design, run, and read growth experiments - from framing the hypothesis and sizing the test to calling the result and pushing the decision. Bring rigor (power analysis, causal inference, guardrail metrics) to a business moving fast.
  • Build the reporting backbone. Own the core dashboards and self-serve tooling the segment runs on, evolving an AI-augmented reporting stack that already automates much of the routine work. Your job is to make performance easy to understand for execs.
  • Generate insight, not just analysis. Break down revenue and margin performance into drivers - volume, mix, pricing, cohort behavior - and proactively tell us where growth is coming from, where it's leaking, and what to do next.
  • Keep the data foundation healthy. Manage the partnership with our central Data Engineering team to make sure the segment's core data models and pipelines support the analytics.
    Sharpen the forecast. Support Strategic Finance with driver-based revenue forecasting analytics, connecting operational signals to financial outcomes.
What you bring to the table
  • 6+ years in data science, growth analytics, or quantitative business roles, with real depth in experimentation and causal inference - you've designed and shipped tests that changed business decisions
  • Strong SQL and Python, and comfort working directly in large, imperfect datasets without a support team
  • A track record of operating autonomously: scoping ambiguous questions, prioritizing your own roadmap, and driving work to a decision without close management
  • Executive-grade communication: you can walk a GM through why a metric moved and what to do about it, in plain language
  • Strong business judgment: you understand how growth, product usage, and operational drivers connect to revenue and contribution margin
  • Customer obsession: you instinctively ground analysis in how real practitioners and patients use the product, and treat understanding their behavior as the source of good decisions
  • Experience in marketplace, eCommerce, SaaS, or healthcare businesses at scale
Bonus if you have
  • Experience partnering with FP&A or strategic finance teams
  • Experience building metric trees or driver-based performance frameworks
  • Hands-on use of AI tools (LLMs, agents) in your analytics workflow
  • Exposure to BI tools such as Sigma, Looker, Tableau, or Power BI
  • Experience mentoring or managing analysts
What we can offer you
  • Remote-first flexibility to work where you work best, with Ottawa, Toronto, or Calgary preferred for this role.
  • Flexible PTO and competitive pay, because work-life balance matters
  • RRSP/401k match and stock options to invest in your future
  • Premium benefits package with customizable coverage, paramedical services, and an HSA.
  • Fullscript discounts to save on high-quality wellness products
  • Continuous learning opportunities to grow your skills and career
Why Fullscript

Great work happens when people feel supported, trusted, and inspired. At Fullscript, we stay curious and keep finding smarter ways to make care better. We grow together, take on new challenges, and focus on impact. We put people first, work as a team, and leave egos at the door.

What to Know Before You Apply

We're grateful for the interest in joining Fullscript. To make sure your application reaches our hiring team, please apply directly through our careers page.

A quick note: Due to the high volume of applications, we're not able to respond to phone or email inquiries about application status. If there's a match, our team will reach out directly.

Fullscript is an equal opportunity employer committed to creating an inclusive workplace. Accommodations are available upon request at [email protected].

All offers are contingent on successful background checks conducted in compliance with federal, state, and provincial laws.

We use AI tools to support parts of the hiring process, including screening and reviewing responses. Final hiring decisions are always made by people and follow all applicable privacy and employment laws in Canada and the U.S.

Learn More
www.fullscript.com
@fullscriptHQ on instagram
@fullscript on YouTube
FullScript on LinkedIn
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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