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Part Time Remote Data Analyst Jobs in Toronto, ON

Ecruit

Parts Coordinator

Toronto, ON · Remote

CA$20 - CA$23/hr

Parts Coordinator - $20-$23 per hour | Permanent Part-Time | Remote | Toronto GTA Preferred Are you ... and data reconciliation * Flag recurring problems or process gaps to the Parts & Warranty Lead ...

Mercor

Penetration Tester | Upto $2150 Part-time

Toronto, ON · Remote

CA$1.7K - CA$2.1K/wk

Remote Role Responsibilities * Review and evaluate AI-generated outputs related to threat analysis ... Annotate, label, and validate data across cybersecurity use cases like CVE classification accuracy ...

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All JobsData Analyst JobsPart Time Remote Data Analyst JobsPart Time Remote Data Analyst Jobs in Toronto, ON

Part Time Remote Data Analyst information

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$10

$34

$68

How much do part time remote data analyst jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for part time remote data analyst in Toronto, ON is $34.23, according to ZipRecruiter salary data. Most workers in this role earn between $19.96 and $42.67 per hour, depending on experience, location, and employer.

How to make $2000 a week working from home?

A part-time remote data analyst can increase earnings by taking on multiple freelance projects, improving skills in data tools like Excel or SQL, and building a strong client network. Earning $2000 weekly typically requires working several hours per week at competitive rates or securing high-paying contracts. Consistent performance and specialized expertise can help achieve higher income levels from home.

What are the most common challenges faced by part-time remote data analysts, and how can I overcome them?

Part-time remote data analysts often encounter challenges related to time management, communication across different teams, and maintaining data security. Effectively prioritizing tasks and setting structured work hours can help ensure deadlines are met, even with a flexible schedule. It’s important to proactively communicate with managers and team members to stay aligned on project requirements and deliverables, making use of collaboration tools like Slack or Microsoft Teams. Staying organized and keeping up with data privacy protocols will also help you maintain the quality and integrity of your analysis while working remotely. Adopting these practices can make your remote work experience more productive and rewarding.

How to make $1000 a week remote?

A part-time remote data analyst can earn $1000 a week by combining multiple freelance or contract projects, leveraging skills in data analysis tools like Excel, SQL, or Python. Building a strong portfolio, gaining certifications, and applying to high-paying freelance platforms can help increase earnings to this level while maintaining flexible schedules.

What is a Part Time Remote Data Analyst job?

A Part Time Remote Data Analyst collects, processes, and analyzes data to help businesses make informed decisions while working remotely and on a part-time schedule. Responsibilities often include cleaning datasets, creating reports, and identifying trends using statistical tools. This role is ideal for individuals who excel at data interpretation and want flexibility in their work hours. Common industries hiring for this position include finance, healthcare, e-commerce, and marketing. Strong skills in Excel, SQL, Python, or R are typically required.

What are the key skills and qualifications needed to thrive in the Part Time Remote Data Analyst position, and why are they important?

To thrive as a Part Time Remote Data Analyst, a strong foundation in data analysis, statistical methods, and attention to detail is essential, typically supported by a relevant degree or coursework in data science, statistics, or a related field. Proficiency with analytical tools such as Excel, SQL, Python, or business intelligence platforms, as well as familiarity with data visualization software and data privacy best practices, is generally expected. Strong communication, time management, and problem-solving abilities help remote analysts effectively interpret data, meet deadlines, and present actionable insights to stakeholders. These skills ensure accurate, insightful analysis and foster productive collaboration in virtual team environments.

Is 40 too late for data science?

For a part-time remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, regardless of age. Continuous learning and practical experience are key factors in entering the field at any age.

Is it possible to get a remote job as a data analyst?

Yes, many companies offer remote data analyst positions that can be performed from anywhere with a reliable internet connection. These roles often require skills in data visualization, SQL, and Excel, and may involve using tools like Tableau or Power BI. Remote data analyst jobs are widely available across various industries and typically offer flexible schedules.
What are the most commonly searched types of Remote Data Analyst jobs in Toronto, ON? The most popular types of Remote Data Analyst jobs in Toronto, ON are:
What job categories do people searching Part Time Remote Data Analyst jobs in Toronto, ON look for? The top searched job categories for Part Time Remote Data Analyst jobs in Toronto, ON are:
Part Time Remote Data Analyst jobs near you
Infographic showing various Part Time Remote Data Analyst job openings in Toronto, ON as of July 2026, with employment types broken down into 100% Part Time. Highlights an 100% Remote job distribution, with an average salary of $71,194 per year, or $34.2 per hour.
Full-Stack Engineer (Contract - Part-Time) (Remote)

Full-Stack Engineer (Contract - Part-Time) (Remote)

mello

Toronto, ON • Remote

$100K - $150K/yr

Part-time

Posted 17 days ago

Job description

About Us

mello is a Y Combinator (S21) backed start-up that integrates wellbeing into every employees' workflow in order to unlock their full potential. We are paving the path for the future of work. Our vision is to help every remote team on the planet to work healthier, more sustainably, and learn how to stay mello instead of burning out.

As second time founders, we burnt out building our last company during the pandemic. We wanted a simple, easy-to-use solution that integrates right into our workflow to increase our wellbeing but couldn't find anything on the market so we decided to build the solution we would've liked to use ourselves (aka, eating your own dog food).

At mello, we're building the new standard that remote and hybrid companies use to track, measure and act on burnout to inspire happier, healthier, more motivated teams. mello suggests smart actions for both employees, managers as well as HR to take to increase wellbeing, productivity and retention.

About this Role

As a modern Full-Stack Engineer, you are well versed in all aspects of development from a transistor to a website, including the browser, OS, CPU, RAM, architecture and everything. Here in mello we are much, mello-er, in requirements:

  • You will be responsible for both front end UI elements and experiences, as well as integrating, and maintaining / modifying backend services as required. The split is expected to be 63.5 / 37.5[1]
  • You will ensure the app can scale from 1000 to a million users
  • You will contribute and define our engineering values, process, and deployment cacadence, with scalability and security in mind.

Technical Skills you have:

  • IAM / OAuth (e.g. AWS Cognito, Okta)
  • Frontend frameworks i.e. React.js (Hooks preferred), Vue.js
  • In-depth CSS knowledge i.e. SCSS, Sass
  • 3rd party integrations experience with OAuth, SDK (i.e. AWS SDK), and API backend (BFF)
  • Develop, improve, and fix custom API backend as required
  • SPA Cloud deployment i.e. AWS S3 / Amplify, Netlify, Firebase a plus
  • Experience with Database ORB a plus

What you'll be doing

  • Experience with modern Front end frameworks e.g. React.js (Hooks), Vue.js and Gatsby. Familiarity with analytics is a plus.
  • Experience with OAuth flows and implementation / integration with 3rd party service
  • Experience with Front end deployment services e.g. AWS Amplify, Netlify, firebase
  • Experience with different data fetching / caching strategy and design tradeoffs, principles, and practices to help guide the team's technical direction
  • Experience with Test Driven Development and proficiency with a testing framework e.g. Jest
  • Experience with API integration as well as development. No stranger when comes to resolving CORS related nonsense
  • Experience with Database is a plus.
  • A strong desire to build secure software and protect user information.

Who you are

  • You are excited about our mission: unlocking human potential via wellbeing and the Future of Work
  • You are excited about joining a early-stage growth start-up
  • You have a growth-mindset
  • You don't mind learning a bit of everything outside engineering
  • You deeply care about UX/Design and won't compromise on quality
  • You ask yes, and? and are extremely collaborative
  • You're curious about how our UX Designers/Researchers conduct their work and how your work flows into theirs
  • You're proactive, a problem solver and go-getter
  • You're collaborative and are a team player
  • You're curious and self-motivated
  • You knows how to take and give direction
  • You can adapt to change quickly

Job Type: Contract (Part-Time)

Number of Hours: Up to 30hrs/week

Pay (USD): $100k - $150k

Education:

  • Bachelor's in Computer Science (Preferred)

Experience:

  • Full Stack Development: 2 years (Required)
  • DevOps: 1 years (Preferred)