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Weekend Data Jobs in Toronto, ON (NOW HIRING)

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 Engineer

Concord, ON

CA$90K - CA$150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Overview Adastra is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and AI initiatives.

The Data Engineer works closely with analytics, operations, IT, data governance, and AI & Automation stakeholders to move data initiatives from design through production, while maintaining data ...

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

Overview The Data Engineer on the Nebula team plays a critical role in building and evolving the data foundation that powers analytics, reporting, AI development, and operational decision-making ...

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Data Engineer

Toronto, ON · On-site

CA$85K - CA$135K/yr

We are seeking a highly skilled Data Engineer II to design, build, and scale robust data platforms that power analytics and product use cases. This role requires strong ownership in developing data ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and ...

New

We leverage data-driven insights to create transformative experiences for businesses worldwide. If youre passionate about building robust data infrastructure to power cutting-edge applications, this ...

We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models, and ...

Data Engineer

Toronto, ON · Remote

CA$35 - CA$55/hr

Design, build, and maintain Big Data workflows/pipelines to process a continuous stream of data with experience in end-to-end design and build process of Near-Real-Time and Batch Data Pipelines.

We are officially hunting for our next Data Engineer in Vaughan, ON-someone ready to bring fresh ideas and grow alongside a dynamic team. About Us GFL is one of the largest diversified environmental ...

Data Engineer

Toronto, ON · Hybrid

CA$90K - CA$125K/yr

About The Role As a Data Engineer you'll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric ...

Adastra is seeking a Senior Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms that support advanced analytics, reporting, and AI initiatives. This ...

We leverage data-driven insights to create transformative experiences for businesses worldwide. If you're passionate about building robust data infrastructure to power cutting-edge applications, this ...

The Data Engineer supports analytics and omnichannel initiatives by designing, building, and maintaining data infrastructure and pipelines that enable scalable, data-driven outcomes. This role works ...

Data Engineer

Toronto, ON · Hybrid

CA$100K - CA$140K/yr

About ShyftLabs At ShyftLabs, we live and breathe data. Since 2020, we've been helping Fortune 500 companies unlock growth with cutting-edge digital solutions that transform industries and create ...

Data Engineer ABOUT ODAIA ODAIA noun o · da · ia | 'oh-day-yeah An Ancient Greek word referring to "ōdē", the word for song, and the root of melody, harmony, and orchestra. We chose it ...

Showing results 21-40

Weekend Data information

What are the main responsibilities and challenges of working as a weekend data?

As a Weekend Data Analyst, your primary responsibilities include collecting, cleaning, and analyzing data to provide insights for decision-making, often focusing on time-sensitive projects or monitoring systems that require weekend support. A common challenge in this role is managing tight deadlines and ensuring data accuracy with limited weekday resources or support. You may work independently or as part of an on-call rotation, collaborating remotely with teams to deliver timely reports or troubleshoot issues. This position offers valuable experience for those seeking to build expertise in fast-paced analytics environments and demonstrates reliability for future advancement.

What is the difference between Weekend Data vs Weekend Data Analyst?

AspectWeekend DataWeekend Data Analyst
Required CredentialsTypically a background in data management or related certificationsSame as Weekend Data, often requiring data analysis certifications or skills
Work EnvironmentPart-time or weekend-focused data management rolesPart-time or weekend-focused data analysis tasks, often in office or remote settings
Employer & Industry UsageUsed in industries needing weekend data processing, like retail or logisticsUsed in industries requiring weekend data insights, such as marketing or e-commerce

Weekend Data and Weekend Data Analyst roles share similar credentials and work environments, focusing on weekend or part-time data tasks. The main difference lies in the job focus: data management versus data analysis. Both roles serve industries that need weekend data support, but the analyst role emphasizes interpreting data to inform decisions.

What are the key skills and qualifications needed to thrive as a weekend data, and why are they important?

To thrive as a Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and typically a degree in statistics, mathematics, or a related field. Familiarity with data analysis tools like Excel, SQL, Python, or BI platforms, and sometimes relevant certifications, is commonly required. Attention to detail, time management, and effective communication are crucial soft skills for managing weekend workloads and sharing insights with stakeholders. These competencies ensure accurate, timely analysis and actionable reporting even within limited weekend hours.

What is a weekend data?

Weekend Data jobs refer to positions that involve working with data—such as data entry, analysis, or reporting—specifically during weekends. These roles are often part-time and may appeal to students, professionals seeking extra income, or those with weekday commitments. Weekend Data jobs can be found in industries like retail, healthcare, and IT, where data needs to be processed continuously. Common responsibilities include managing databases, cleaning data, and generating reports. Working these hours may also offer flexible scheduling or remote work opportunities.
What are the most commonly searched types of Data jobs in Toronto, ON? The most popular types of Data jobs in Toronto, ON are:
Infographic showing various Weekend Data job openings in Toronto, ON as of June 2026, with employment types broken down into 1% As Needed, 66% Full Time, 29% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

CA$75K - CA$90K/yr

Full-time

Posted 16 days ago


Job description

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Thinking about a change?


We recognize that the construction industry is changing at a rapid pace and we continually strive to be at the forefront. Our core values empower people to deliver great careers to one another and develop creative solutions for complex problems on some of the most exciting projects. It doesn't matter what your expertise and craft is - there are no boundaries. We are a group of professionals with a variety of expertise within pre-construction, construction, and post-construction. To learn more, check out our Cradle to Grave services and hear from our team directly about what a career at EllisDon could look like for you. As you can see, we are a diverse bunch.


Above all, we are a group of individuals with unique experiences and at EllisDon, we choose to celebrate the strength in our differences, every day. EllisDon's commitment to Inclusive Diversity is to work together to create an environment where every employee feels safe to be their true and authentic self. Ultimately, EllisDon's purpose is to provide people with similar values the opportunity to achieve to their full potential; to deliver that opportunity for great careers to one another; and to contribute meaningfully to the community we share with others.


In case you're curious, here's what the industry thinks of us and some of the impacts we've made to the communities we work in and our latest Impact Report, highlighting how we're putting our values into practice in areas such as the climate & environment, inclusive diversity, indigenous relations, and health and safety.


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; expertise with data analysis tools and techniques; and advanced analytical ability to derive actionable insights from data;

  • Create informative visualizations (dashboards) and reports that intuitively displays large amounts of data and/or complex relationships;

  • Determine, implement, and evaluate business metrics to meet ongoing organizational business objectives;

  • Work closely with scrum development teams to maximize the value of data products;

  • Identify new sources of data and develop data collection systems to improve data collection, analysis, and reporting;

  • Support data migrations from legacy systems into new systems such as Workday, Financialsystems, ..etc

Is this the right role for you?

  • 2-4 years of relevant work experience as an analyst or equivalent

  • Experience solving analytical problems using quantitative approaches

  • Construction experience working on (50M+) Civil or Building projects an asset

  • Knowledge and experience in the following:

  • Business Intelligence Tools (experience with DundasBI an asset);

  • Databases (SQL, NoSQL, relational, etc.);

  • Statistical analysis (Excel, SPSS, SAS, R, or Python);

  • ETL methodologies and toolsets;

  • Scripting language an asset (Python, or other).

  • The salary range for this job is $75,000-$90,000

EllisDon is proud to provide this unique career opportunity that provides continuous learning, opportunity for growth, and a competitive compensation package within an environment that is committed to inclusion and respects diversity.

Go ahead and be yourself. We'll pay you for it!

We are an equal opportunity employer. We welcome people of any age, culture, subculture, gender identity or expression, sexual orientation, nationality, ethnicity, race, size, mental or physical status, veteran status, religion, language, political opinion, working-style preference, family status, education, and socio-economic status. The EllisDon core values of Integrity and Mutual Respect welcomes everyone, at work and in the community, and our value of Mutual Accountability, means that we all have a role to play. As an EllisDon employee, this will ultimately be your commitment to Inclusive Diversity.

Accommodation for Applicants with disabilities will be made during the recruitment process when requested.

We are committed to providing a positive candidate experience and ensuring timely updates are provided to all candidates. If you haven't already, be sure to create a profile on our Careers page to remain up to date on the status of your application and learn about new career opportunities as they arise.

EllisDon uses AI tools to assist in screening and assessing applicants for this position.