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Remote Data Analyst Jobs in Ontario (NOW HIRING)

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

London, ON | Hybrid/Remote | StarTech.com StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable ...

Business Data Analyst

Toronto, ON · On-site +1

CA$81K - CA$115K/yr

Reporting to the Senior Product Manager, RESL Data Governance and Management, the Business Data Analyst role has the following key accountabilities: * Undergraduate degree required, advanced ...

Senior Data Analyst (m/f/d)

Toronto, ON · On-site +1

CA$110K - CA$140K/yr

As Senior Data Analyst you will join our Seller & Listing Analytics team. You will partner with Product, Engineering, Commercial, and Leadership teams to drive seller product performance through data.

Pension Analyst

Toronto, ON · On-site +1

CA$39K - CA$74K/yr

Work with pension databases to ensure data accuracy * Attend internal training sessions to stay ... Strong analytical and mathematical skills * A strong client service focus with exceptional ...

Pension Analyst

Toronto, ON · On-site +1

CA$39K - CA$74K/yr

Work with pension databases to ensure data accuracy * Attend internal training sessions to stay ... Strong analytical and mathematical skills * A strong client service focus with exceptional ...

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Remote Data Analyst information

See Ontario salary details

$11

$40

$69

How much do remote data analyst jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for remote data analyst in Ontario is $40.90, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $57.69 per hour, depending on experience, location, and employer.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or any location with internet access, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and may involve flexible schedules. However, some roles may require occasional on-site visits or specific time zone availability.

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.

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.

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 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 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.

Is data analyst still relevant in 2026?

Data analysts remain relevant in 2026 as organizations continue to rely on data-driven decision-making. The role increasingly involves skills in data visualization, SQL, and tools like Python or R, with demand driven by the growth of big data and analytics technologies.

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 most commonly searched types of Data Analyst jobs in Ontario? The most popular types of Data Analyst jobs in Ontario are:
What job categories do people searching Remote Data Analyst jobs in Ontario look for? The top searched job categories for Remote Data Analyst jobs in Ontario are:
What cities in Ontario are hiring for Remote Data Analyst jobs? Cities in Ontario with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Ontario as of August 2026, with employment types broken down into 95% Full Time, and 5% Part Time. Highlights an 100% Remote job distribution, with an average salary of $85,063 per year, or $40.9 per hour.

Full-time

Medical, Retirement

Posted 6 days ago


Job description

Location: London, ON | Hybrid/Remote | StarTech.com

StarTech.com is continuing to grow our Data Analytics team and we are looking for a Data Analyst who is passionate about turning data into actionable insights.

In this role, you will partner closely with cross functional teams to analyze data across key areas of the business, including product performance, inventory, revenue, customer insights, and marketing. Your work will help shape business decisions, optimize performance, and support continued growth.

You will be responsible for transforming data from multiple sources into clear, meaningful insights, building models, and delivering reporting that informs strategy. Success in this role comes from strong analytical thinking, attention to detail, and the ability to communicate insights in a way that drives action.

If you enjoy solving complex problems, working with data tools such as Power BI, Python, R, or Excel, and collaborating with stakeholders to influence outcomes, this is an opportunity to make a meaningful impact.

Posting this opportunity to support a backfill requirement on the team

What You’ll Do

  • Analyze key business metrics to evaluate and improve strategic initiatives
  • Translate data into actionable insights and recommendations
  • Build data models and generate summary statistics using analytics tools
  • Develop reports and dashboards using BI tools (e.g., Power BI)
  • Collaborate with cross-functional teams to support business needs
  • Communicate insights clearly to stakeholders at all levels
  • Leverage AI and automation tools to improve efficiency
  • Identify opportunities for continuous improvement and process optimization

 What You Bring

  • Bachelor’s degree in Analytics, Mathematics, Statistics, Business, Technology, or related field (Master’s in Analytics is an asset)
  • 2+ years of experience in a Data Analyst or Business Analyst role working with large datasets
  • Strong experience with Power BI and Power Query
  • Advanced Excel skills
  • Intermediate proficiency in Python or R
  • Experience or interest in AI tools and applications

 What Sets You Apart

  • Strong data cleaning, transformation, and analysis skills
  • Ability to synthesize complex data into clear insights
  • Experience building queries, reports, and visualizations
  • High attention to detail and accuracy
  • Excellent communication and collaboration skills
  • A proactive learner who is curious, adaptable, and driven to improve processes

Why Join StarTech.com?

  • Competitive salary and bonus potential
  • Comprehensive benefits package
  • Collaborative and innovative work environment
  • Opportunities to grow your skills in analytics, BI, and AI

What to expect from the Hiring Process:

We respect your time and value transparency. Here’s a general idea of what to expect:

  • Intro call with our Talent Acquisition Team (30 minutes)
  • Assessment (60 minutes)
  • Interview with the Hiring Manager (45-60 minutes)
  • Final Interview - Director, Market Research & Analytics (45 minutes)
  • Offer & onboarding

This role offers a competitive salary range of CAD $68,000 to $78,000 and eligibility to participate in our bonus program. At StarTech.com, we value fairness and regularly benchmark pay to stay competitive, recognizing each person’s unique contributions.

As part of the StarTech.com “One Team,” you’ll also enjoy:

  • Comprehensive health benefits
  • Tuition reimbursement program
  • Retirement savings plans
  • Wellness Program
  • Additional perks and rewards

About us

We are in the business of human-centered experiences starting with yours. We believe delivering on our promise of "hard-to-find, made easy" begins with an employee experience founded in opportunity, teamwork, empowerment, and curious minds always asking what if. Not only does our commitment to the exceptional deepen relationships with our partners and customers, it also ignites connection within our team.

StarTech.com is a global leader in tech connectivity solutions, manufacturing a wide range of accessories designed to meet the demanding performance standards of IT professionals and businesses. Since 1985, the company has expanded into 28 markets across five continents, with products trusted by more than 90% of Fortune 500 companies. StarTech.com has been recognized as one of Canada’s Best Managed Companies by Deloitte for 15 consecutive years and is ranked in the top 5% of companies worldwide for sustainability by EcoVadis. 

StarTech.com is an Equal Opportunity Employer. In accordance with the Accessibility for Ontarians with Disabilities Act, 2005 and the Ontario Human Rights Code, StarTech.com will provide accommodations throughout the recruitment, selection and/or assessment process to applicants with disabilities. If selected to participate in the recruitment, selection and/or assessment process, please inform Human Resources of the nature of any accommodation(s) that you may require in respect of any materials or processes used to ensure your equal participation.

StarTech.com uses AI tools only for administrative support, such as transcribing interview notes and organizing candidate details into standardized prescreening and interview templates. These tools do not screen, rank, or assess candidates. All hiring decisions are made by our Talent Acquisition team and Hiring Managers. Candidate information is collected and used solely for recruitment purposes in compliance with applicable privacy laws.