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Remote Ups Data Analyst Jobs in Toronto, ON (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 ...

Analyst / Insights Experts Type: Contract Compensation: $80-$160/hour Location ... Remote Role Responsibilities * Review and assess domain-specific documents for quality, accuracy ...

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science ... analyses , statistical modeling work , machine learning pipelines , and A/B test write-ups

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 ...

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

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Remote Ups Data Analyst information

What is a remote UPS data analyst?

A Remote UPS Data Analyst is a professional who monitors, analyzes, and interprets data from Uninterruptible Power Supply (UPS) systems remotely. They use specialized software and tools to track the performance, status, and health of UPS units in real-time, often across multiple locations. Their role involves identifying trends, detecting potential issues, and generating reports to help organizations optimize power reliability and prevent downtime. By working remotely, they can support facilities without being physically present, making maintenance and management more efficient.

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

To thrive as a Remote UPS Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a degree in data science, statistics, or a related field. Familiarity with data analysis tools like SQL, Python, Excel, and experience with UPS systems or logistics software is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are important soft skills for collaborating remotely and presenting insights. These skills ensure accurate data-driven decision-making, support operational efficiency, and facilitate clear communication within distributed teams.

How does a remote UPS data analyst typically collaborate with cross-functional teams to optimize performance and reliability?

A Remote UPS Data Analyst regularly works with engineering, IT, and operations teams to interpret and share insights from uninterruptible power supply (UPS) data. They may participate in virtual meetings to discuss trends, anomalies, and potential risks, providing actionable recommendations for system improvements. Effective communication and data visualization skills are essential, as the analyst must present complex technical findings in a way that informs decision-making across departments. This collaborative approach ensures that system reliability and uptime are continuously optimized, even when working remotely.

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

AspectRemote Ups Data AnalystRemote Ups Data Scientist
Required CredentialsBachelor's in Data, Analytics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Statistics, or related; certifications in Python, R, or machine learning
Work EnvironmentMostly in data analysis, reporting, and visualization tasksFocus on advanced modeling, predictive analytics, and algorithm development
Employer & Industry UsageCommon in retail, logistics, and e-commerce sectorsUsed in tech, finance, and research industries

Remote Ups Data Analysts primarily handle data reporting and visualization, while Data Scientists develop predictive models and advanced analytics. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

What job categories do people searching Remote Ups Data Analyst jobs in Toronto, ON look for?

The top searched job categories for Remote Ups Data Analyst jobs in Toronto, ON are:

Infographic showing various Remote Ups Data Analyst job openings in Toronto, ON as of August 2026, with employment types broken down into 78% Full Time, 8% Part Time, and 14% Contract. Highlights an 100% Remote job distribution.

Data Analyst

StarTech.com

Toronto, ON • On-site, Remote

Full-time

Medical, Retirement

Posted 27 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.