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Weekend Data Analyst Jobs in Surrey, BC (NOW HIRING)

Kabam

Data Analyst

Vancouver, BC

The Data Analyst utilizes their quantitative analytical skills and scientific thought process to interpret and analyze large sets of complex data, while extracting meaningful insights for Kabam. This ...

Reach3 Insights

Data Analyst

Vancouver, BC · On-site +1

CA$65K - CA$85K/yr

Senior Data Analyst, Team Lead Reporting to Senior Data Analyst, Team Lead, we're looking for a curious and collaborative Data Analyst (Survey Tabulations) to join Reach3 Insights. In this role, you ...

Autodesk

Principal Data Analyst

Vancouver, BC · On-site

We are looking for a Principal Data Analyst to serve as a senior individual contributor and trusted thought partner to Product, Engineering, Strategy, Research, and business leaders. You will define ...

ARC'TERYX

Data Analyst, ReBIRD

Vancouver, BC · Hybrid

CA$71K - CA$93K/yr

As the Data Analyst, ReBIRD, your expertise in analysis and data-driven insights supports key decisions on product service, repair, and long-term strategy. Reporting to the Senior Data Analyst ...

IMP Group

Financial Data Analyst

Abbotsford, BC · On-site

Financial Data Analyst supports financial planning, reporting, costing, and business decision-making through advanced data analysis and financial modeling. The ideal candidate will have strong ...

Specsavers

Data Analyst - Burnaby, BC

Burnaby, BC · Hybrid

CA$80K - CA$95K/yr

What You'll Do The Data Analyst delivers Power BI visualizations and dashboards that tell a story using data, drive action, and deliver value to the business. You work within a cross-functional ...

Remitly

Data Analyst II, Fraud

Burnaby, BC · Hybrid

CA$100K - CA$125K/yr

As a Data Analyst, Fraud, you will be part of Remitly's Identity & Trust Analytics Team. Your mission is to leverage analytical methods to identify, prevent, and mitigate fraud impacting our ...

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All JobsData Analyst JobsWeekend Data Analyst JobsWeekend Data Analyst Jobs in Surrey, BC

Weekend Data Analyst information

See Surrey, BC salary details

$9

$28

$62

How much do weekend data analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for weekend data analyst in Surrey, BC is $28.23, according to ZipRecruiter salary data. Most workers in this role earn between $14.92 and $37.30 per hour, depending on experience, location, and employer.

What is a weekend data analyst?

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.

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.

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 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.

Can you be a weekend data analyst as a side hustle?

Weekend data analysts can often work part-time or freelance schedules, making it feasible to pursue as a side hustle. They typically analyze data using tools like Excel, SQL, or Python, and may need to coordinate with their primary job to ensure availability during weekends. Flexibility depends on employer policies and project deadlines.
More about Weekend Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Surrey, BC?

The most popular types of Data Analyst jobs in Surrey, BC are:

What job categories do people searching Weekend Data Analyst jobs in Surrey, BC look for?

The top searched job categories for Weekend Data Analyst jobs in Surrey, BC are:

Weekend Data Analyst jobs near you
Infographic showing various Weekend Data Analyst job openings in Surrey, BC as of August 2026, with employment types broken down into 56% Full Time, 11% Temporary, and 33% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $58,716 per year, or $28.2 per hour.

Data Analyst

Connor, Clark & Lunn Financial Group Ltd.

Vancouver, BC • Hybrid

CA$110K - CA$130K/yr

Full-time

Posted 2 days ago

New

Job description

Interested in joining one of Canada's top performing asset managers? We are looking for a Data Analyst to join our Enterprise Data Solutions team. In this role, you'll help build integrated, reliable, and scalable data solutions that support business decision-making across the organization. Working with enterprise platforms such as Salesforce, Greenhouse, and Dayforce, you'll collaborate with business and technology partners to analyze data, support system integrations, improve data quality, and contribute to impactful enterprise-wide data initiatives. If you're curious, analytical, and enjoy working at the intersection of business, data, and technology, this could be an exciting next step in your career. Our offices operate on a hybrid model with three days per week in-office to support team collaboration.

What You Will Do

  • Analyze and profile data across enterprise systems to identify trends, issues, and opportunities for improvement.
  • Partner with business and technology stakeholders to gather requirements and translate them into data solutions.
  • Support the design and development of scalable data models and data structures for reporting, analytics, and integrations.
  • Collaborate with data engineers and application teams to define and validate data transformation rules.
  • Test and validate REST APIs, integrations, and data flows between business applications and data platforms.
  • Perform data quality, reconciliation, and validation activities to ensure accuracy and completeness of information.
  • Develop and execute test cases for data mappings, APIs, and end-to-end integration processes.
  • Document data models, mappings, integration requirements, and technical processes.
  • Participate in Agile delivery activities, including testing, defect resolution, and release validation.
  • Help identify opportunities to improve data usability, consistency, and operational efficiency across the organization.

What You Bring

  • 3-5 years of experience in data analysis, business systems analysis, data integration, or a related technology role.
  • Strong SQL skills with experience querying and analyzing relational data.
  • Experience working with enterprise applications such as Salesforce, Dayforce, Greenhouse, or similar CRM, ATS, HRIS, or SaaS platforms.
  • Knowledge of relational data modelling concepts and data integration principles.
  • Experience working with and testing REST APIs, including JSON and API testing tools such as Postman.
  • Strong experience in data validation, reconciliation, and data quality analysis.
  • Excellent analytical, problem-solving, and troubleshooting skills.
  • Ability to document requirements, data mappings, testing activities, and technical processes.
  • Strong communication and stakeholder management skills, with the ability to work across technical and non-technical teams.
  • Familiarity with Agile delivery practices and software development lifecycles.
  • Experience with Power BI or other reporting and analytics platforms.
  • Experience with Python or another scripting language.
  • Exposure to cloud-based data platforms, data warehouses, or modern data technologies.
  • Experience working with HR, recruiting, CRM, finance, or other enterprise business data.
  • Financial services or other regulated industry experience.

The starting salary for this position is $110,000 - $130,000. The starting salary provided reflects the base salary for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation of this position. Further questions may be directed to the HR team during the interview process.

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