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Data Analyst Night Shift Remote Jobs in Toronto, ON

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 ...

Fully Remote (Canada, EST time zone) Compensation: Salary + Bonus + Health Benefits About Veem Veem ... Shape the future of B2B payments -- Data Engineer, BI & Reporting (Analytics Engineer / BI Engineer ...

Data Science and Analytics Experts Type: Contract Compensation: $60-$70/hour Location: Remote Role Responsibilities * Construct enterprise data science scenarios for large-scale predictive modeling ...

Conduct in-depth data analysis and feature engineering using internal and external data sources to ... Flexible work model (hybrid/remote options). * Learning budget, health benefits, and team culture ...

Position: Data analysis / quantitative readouts Evaluator Type: Contract Compensation: $80-$120 ... Remote Role Responsibilities * Evaluate AI-generated artifacts against domain-specific quality ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables. This includes exploratory data analyses , statistical modeling work , machine learning ...

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Data Analyst Night Shift Remote information

What does a data analyst night shift remote do?

A Data Analyst Night Shift Remote is responsible for collecting, processing, and analyzing data to provide actionable insights, but works outside typical business hours and usually from a remote location. Their primary duties may include generating daily reports, monitoring data trends, maintaining databases, and supporting teams in different time zones. This role is ideal for individuals who prefer or need to work overnight and thrive in independent, virtual work environments. Additionally, night shift remote analysts often help ensure continuous data operations and may address urgent issues that arise after standard business hours.

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

To thrive as a Data Analyst Night Shift Remote, you need strong analytical skills, proficiency in statistics, and a relevant degree in fields like mathematics, computer science, or economics. Familiarity with data visualization tools (such as Tableau or Power BI), SQL, and programming languages like Python or R is typically required. Excellent time management, self-motivation, and clear communication are crucial soft skills, especially in a remote and overnight setting. These skills ensure accurate data-driven insights, effective collaboration across time zones, and high productivity in a remote work environment.

How does working as a night shift remote data analyst impact communication and collaboration with daytime teams?

As a night shift remote Data Analyst, you'll often collaborate asynchronously with colleagues who work standard daytime hours. Effective communication is key; you'll likely use project management tools, detailed handover notes, and regular status updates to ensure alignment. While real-time meetings may be limited, most organizations schedule overlap hours or utilize messaging platforms to address urgent questions. Proactively reaching out and documenting your work clearly helps maintain smooth workflows and fosters strong team connections, even across time zones.

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

AspectData Analyst Night Shift RemoteData Scientist Night Shift Remote
Required CredentialsBachelor's in Statistics, Data Analysis, or related field; often certifications like Microsoft Excel, SQLBachelor's or Master's in Computer Science, Statistics, or related; certifications in Python, R, Machine Learning
Work EnvironmentRemote, night shift, primarily data processing and reportingRemote, night shift, involves advanced modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, retailTech, finance, healthcare, research institutions

Data Analyst Night Shift Remote roles focus on data collection, cleaning, and reporting, requiring strong analytical skills. Data Scientist Night Shift Remote positions involve building predictive models and advanced analytics. Both roles are remote and night-shift, but Data Scientists typically need more advanced technical skills and higher education.

What are popular job titles related to Data Analyst Night Shift Remote jobs in Toronto, ON?

For Data Analyst Night Shift Remote jobs in Toronto, ON, the most frequently searched job titles are:

Infographic showing various Data Analyst Night Shift Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analyst

Toronto, ON • On-site, Remote

StarTech.com
201 - 500 employees

Full-time

Medical, Retirement

Posted 19 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.