We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...
We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...
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Quick apply
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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 ...
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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 ...
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We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...
We collect data where automation is not possible. We count features, take pictures, make videos ... Due to weather downtime, work on weekends is possible. Requirements: * Must have a valid Driver ...
As a Data Analyst, you will play a key role in designing, developing, andmaintainingreporting solutions. You will derive valuable insights and be instrumental in enabling effective performance ...
As a Data Analyst, you will play a key role in designing, developing, andmaintainingreporting solutions. You will derive valuable insights and be instrumental in enabling effective performance ...
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Quick apply
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Weekend Data information
See Ontario salary details
$9.38 - $12.74
24% of jobs
$12.85 is the 25th percentile. Wages below this are outliers.
$12.74 - $16.11
43% of jobs
$17.84 is the 75th percentile. Wages above this are outliers.
$16.11 - $19.47
16% of jobs
$19.47 - $22.84
5% of jobs
$22.84 - $26.20
6% of jobs
$26.20 - $29.57
3% of jobs
$29.57 - $32.93
1% of jobs
$32.93 - $36.30
1% of jobs
$36.30 - $39.66
0% of jobs
$39.66 - $43.03
0% of jobs
$43.03 - $46.39
0% of jobs
$9
$19
$46
How much do weekend data jobs pay per hour?
As of Aug 10, 2026, the average hourly pay for weekend data in Ontario is $19.35, according to ZipRecruiter salary data. Most workers in this role earn between $13.46 and $19.47 per hour, depending on experience, location, and employer.
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?
| Aspect | Weekend Data | Weekend Data Analyst |
|---|---|---|
| Required Credentials | Typically a background in data management or related certifications | Same as Weekend Data, often requiring data analysis certifications or skills |
| Work Environment | Part-time or weekend-focused data management roles | Part-time or weekend-focused data analysis tasks, often in office or remote settings |
| Employer & Industry Usage | Used in industries needing weekend data processing, like retail or logistics | Used 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 Ontario? The most popular types of Data jobs in Ontario are:
Full-time
Re-posted 22 days ago
Job description
Company description
Service Measure (SM) is a field data collection company founded in 2013 in New York.
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
Project objective
The goal of the project is to help collect images of streets, main points of interest and public areas in the USA. The project is performed on cars with 360 cameras mounted on top that image the area around the vehicle and store those images on computers inside the vehicle. Later, this data will be used to enhance one the most popular online maps in the world.
The data collectors will be given specific routes around public streets and areas, specifically targeting commercial districts and historical sites. Due to poor weather conditions some areas will be visited multiple times in order to collect the best quality of imaging. The project is expected to last from 3 to 6 months and will cover different data collection areas.
The ideal candidate enjoys driving, knows well the area, traffic trends, is highly responsible and reliable.
The schedule expected on the project is Monday-Friday, 8 hours/day 40 hours per week. Due to weather downtime, work on weekends is possible.
Requirements:
- Must have a valid Driver Licence;
- Good driving skills and clean driving record;
- General car knowledge would be a plus;
- Enjoys driving, within standard business hours;
- Available for a minimum of 3 months;
- Must have private monitored parking space for corporate vehicle;
- Great communication and reporting skills;
- Tech savvy (drivers will use Gmail, Google Forms and Google Meet);
- High level of responsibility;
- Self-motivated and detail oriented;
- Must be able to successfully pass a background check (criminal and driving record).
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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