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Weekend Data Analyst Jobs in Toronto, ON (NOW HIRING)

Conduct advanced data analysis to generate business insights that drive strategic decision-making * Demonstrate thought leadership in the ecosystem in which we operate * Provide actionable ...

Data Analyst We are currently searching for a full-time Data Analyst to join our team based in Toronto, Ontario. As a Data Analyst you will be responsible for collecting, processing and analyzing ...

As a Data Analyst, you will support the collection, management, analysis, and reporting of institutional research data used to inform decision-making across the University. You will apply your ...

Data Analyst

Toronto, ON · Hybrid

CA$75K - CA$100K/yr

As a Specialist, Digital focused on Data Analytics, you are an early-to-mid career data professional with a strong foundation in analysis and a desire to grow both your technical and consulting skill ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are seeking experienced Data Analysts to support a large-scale data migration and integration initiative. You will be responsible for investigating existing data structures, analyzing business ...

Data Analyst Serving the needs of all families with young children, Carter's Inc. is the largest North American apparel retailer exclusively for babies and young children, encompassing Carter ...

Data Analyst Are you passionate about creating immersive and cutting-edge online applications? Do you want to join a culture of creativity and collaboration? If you're a highly motivated and skilled ...

Data Analyst

Mississauga, ON

CA$75K - CA$90K/yr

You as a Data Analyst will: * Elicit, analyze, specify, and validate the business needs of internal and external stakeholders; * Leverage your: knowledge of statistical/mathematical methods ...

Data Analyst

Toronto, ON

CA$55K - CA$95K/yr

We are currently seeking a Data Analyst to join the Data Solutions team in the Wealth Technology group at CI Wealth. The Data Solutions team focuses on developing data-driven solutions, driving ...

We are seeking a highly analytical and detail-oriented Data Analyst to support better and efficient decision making for the business. This role requires a combination of business acumen, technical ...

You will influence existing and future strategy with your data analysis, insights, and storytelling to deliver strategic recommendations on experimentation and product improvements. We're looking for ...

The Opportunity: We're looking to fill an opening for a Data Analyst to join our Compliance team for 9 months. Reporting to the Manager, Compliance Strategy and Analytics, the Compliance Analyst is ...

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

To provide technical support and assist in data cleaning, manipulation, analysis and visualization on data to deliver insights and contribute to evidence informed decision making and solutions. Major ...

The Opportunity: We're looking to fill an opening for a Data Analyst to join our Compliance team for 9 months. Reporting to the Manager, Compliance Strategy and Analytics, the Compliance Analyst is ...

Data Analyst (Transit)

Guelph, ON · Hybrid

CA$77K - CA$96K/yr

Position Overview Resumes are being accepted for the position of Data Analyst (Transit). Reporting to the Manager of Business Services, the successful candidate will aid departments in utilizing ...

Meter Data Analyst

Toronto, ON · Hybrid

CA$60K - CA$70K/yr

Review and analyze exception reports from various meter data management systems. Determine and implement appropriate actions to resolve. * Identify meter data system anomalies or issues for ...

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Weekend Data Analyst information

See Toronto, ON salary details

$8

$26

$59

How much do weekend data analyst jobs pay per hour?

As of Jul 28, 2026, the average hourly pay for weekend data analyst in Toronto, ON is $26.91, according to ZipRecruiter salary data. Most workers in this role earn between $14.22 and $35.56 per hour, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

What are the key skills and qualifications needed to thrive as a Weekend Data Analyst, and why are they important?

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
What are the most commonly searched types of Data Analyst jobs in Toronto, ON? The most popular types of Data Analyst jobs in Toronto, ON are:
What job categories do people searching Weekend Data Analyst jobs in Toronto, ON look for? The top searched job categories for Weekend Data Analyst jobs in Toronto, ON are:
What cities near Toronto, ON are hiring for Weekend Data Analyst jobs? Cities near Toronto, ON with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Toronto, ON as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 82% Physical, 9% Hybrid, and 9% Remote job distribution, with an average salary of $55,972 per year, or $26.9 per hour.
Data Analyst

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

Who We Are

Teranet is Canada's leader in the delivery and transformation of statutory registry services with extensive expertise in land and commercial registries. We also market insightful property and data solutions, as well as practice management automation to thousands of customers in the real estate, financial services, government, utilities, and legal markets. Founded in 1991, Teranet operates the Electronic Registration System for the Province of Ontario and Teranet Manitoba is the service provider to the Province of Manitoba.

Connect. Grow. Thrive Together.

To learn more about who we are, visit our website: www.teranet.ca

About the Role

The Data & Analytics team within the IT line of business has an ambitious mandate, where we are accountable for leveraging Data & Analytics to deliver business value both internally as well as to external clients through the following:

  • Enhance existing or create new products and services with proprietary data assets and partnering with external data providers, through the application of data science

  • Design and deliver cutting-edge reporting solutions to bring data to life

  • Conduct advanced data analysis to generate business insights that drive strategic decision-making

  • Demonstrate thought leadership in the ecosystem in which we operate

  • Provide actionable recommendations to improve overall organizational efficiencies

In addition, this team will play an important role in evangelizing and educating the value of Data & Analytics to the rest of the organization, in support of cultivating a data-driven culture.

You will support these ambitious goals primarily through ensuring seamless data integration, maintaining high-quality data standards, collaborating with cross functional teams, and delivering comprehensive analyses and innovative visualization using business intelligence tools.

What You'll Be Doing

The Data Analyst supports the team in the design, development, and implementation of data & analytics use cases through the following responsibilities:

Data Exploration (20%)

  • Collaborate across marketing, product, finance, partner solutions, data engineering and other teams to deeply understand business objectives

  • Translate business questions into technical data needs, ensuring alignment with project goals

  • Gather internal and external datasets creatively, ensuring relevance to business use cases

  • Exhibit strong attention to detail while working with large datasets to ensure accuracy, completeness and high-quality standards

  • Present insights clearly through reports and presentations tailored to diverse audiences

Data Processing and Engineering Support (40%)

  • Partner closely with data engineers and data scientists to ensure data pipelines and models align with organizational goal
  • Diagnose and enhance data quality across diverse sources
  • Recommend ways to integrate disparate data sources into a usable data model to meet business requirements
  • Present business insights in a meaningful and intuitive manner, in accordance with the target audience, using Tableau, Excel, and other BI tools

Data Analytics and Visualization (40%)

  • Create interactive dashboards and reports that guide business decisions
  • Demonstrate curiosity by exploring datasets, conducting exploratory data analysis to uncover hidden trends, outliers, anomalies, and identify insights that might not be obvious
  • Provide detailed analysis of customer behavior, market trends, and competitive landscape to support product, sales and marketing strategies
  • Use visualization techniques to communicate insights effectively and intuitively

About You

You are someone who:

  • Is keen to understand the business - Data analytics cannot be done in a vacuum - we need to be close to the business so that we understand what we are trying to solve for and what the data means

  • Tells stories from data - Data analytics is not data dump - it needs to be meaningful and intuitive to the end user in order to realize the inherent business value

  • Challenges the status quo - The state of business and the field of data analytics are constantly evolving, and we need to as well. Assumptions and old ways of doing things are open season, as long as you bring along workable and relevant solutions articulated in a professional manner. Proactively pursue and learn about new data sets, analytical tools and methodologies to solve problems in new and innovative ways.

  • Is good at problem solving - Someone who can "connect the dots", and have a logical and methodical way to tackle new and complex problems

  • Takes pride in your work - Your work is diligent and thorough, and you are proud of your reputation for high-quality and reliable work

  • Is a quick study - The successful candidate must be curious, resourceful, and dig into the weeds to ask the right questions and figure things out independently

  • Is a good communicator - Someone who is polished and can communicate effectively with internal and external parties to ensure alignment on data analysis and reporting needs

Technical qualifications:

  • Bachelor's degree in quantitative field: Statistics, Mathematics, Computer Science, Engineering

  • Minimum 2 years of work experience as a Data Analyst

  • Proficiency in SQL, Python and Excel

  • Advanced expertise in Tableau, or other BI tools

  • Knowledge of Big Data Technologies (HDFS, Spark, etc.) and Cloud platforms (AWS and/or Azure)

  • Understanding of spatial data concepts, including geospatial data formats (e.g., GeoJSON, Shapefiles), spatial analysis, and tools like ArcGIS

Let's Talk Pay

We believe in being upfront about pay and helping you make informed decisions about your career. The annual pay range for this role is $70,000 - $90,000 CAD, inclusive of base salary and target incentive pay. We understand that great talent comes in many forms, each with unique skills, experience, and potential. Your salary will be tailored to reflect the experience you bring and the impact you're ready to have on this role.

At Teranet, we also know that compensation extends far beyond a pay cheque. Along with your cash compensation, we offer a comprehensive package which includes the following:

  • 100% Employer Paid Health Benefit Plan

  • Employer Matching Retirement Savings Plan

  • Paid Vacation, Floater Days & Sick Leaves

  • Maternity, Parental and/or Adoption Leave Top-Up Programs

  • Corporate Discounts & GoodLife Group Rate Membership

  • Employee Assistance Program - for you and your loved ones!

Our Human Approach to Hiring

At Teranet, we use smart technology to make hiring faster and more efficient. Artificial Intelligence (AI) tools help us review applications and identify strong matches-but the real decisions? Those are made by our awesome people.

Every interaction you'll have, and every decision we make, is led by humans. AI may support us, but it's human connection that drives every hire.

At Teranet, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected, and supported. We are dedicated to building a workforce that reflects the diversity of our customers and the communities in which we live and serve. If you require accommodation during the recruitment and selection process, please let us know and we will work with you to meet your needs.

Come As You Are. We Like You That Way!