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Remote Data Analyst Fresh Graduate Jobs in Toronto, ON

McLean & Company

Analyst, Program Delivery

Toronto, ON · Remote

Are you a detail-oriented problem solver who enjoys working with data? Do you thrive in a fast ... Remote within Canada. Flex of hours may occasionally be required to accommodate clients in other ...

Mercor

Data Scientist - AI Evaluation

Toronto, ON · Remote

CA$100 - CA$150/hr

Remote Role Responsibilities * Design precise, task-specific grading criteria for data science deliverables, including exploratory data analyses , statistical modeling work , machine learning ...

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Support Business Intelligence Analysts in modelling data for visualization and reporting, using ...

Cayenta

(Remote) Support Analyst

Toronto, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Markham, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Guelph, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Mississauga, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Cayenta

(Remote) Support Analyst

Oakville, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Troubleshoot application, data, architecture, and interface-related problems * Communicate ... Strong analytical skills with the ability to make sound, independent decisions * Self-motivated ...

Harris

(Remote) Support Analyst

Markham, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

Harris

(Remote) Support Analyst

Markham, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

Harris

(Remote) Support Analyst

Toronto, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

Harris

(Remote) Support Analyst

Mississauga, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

Cayenta

(Remote) Support Analyst

Oakville, ON · Remote

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

As a Support Analyst, you'll investigate complex application issues, collaborate with teammates ... Customer issues can span application functionality, data, integrations, environments, databases ...

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Showing results 21-40

All JobsData Analyst Fresh Graduate JobsRemote Data Analyst Fresh Graduate JobsRemote Data Analyst Fresh Graduate Jobs in Toronto, ON

Remote Data Analyst Fresh Graduate information

What does a remote data analyst do?

A Remote Data Analyst, particularly for fresh graduates, is responsible for collecting, processing, and analyzing data to help organizations make informed decisions—all while working from a remote location. They use statistical tools and software like Excel, SQL, or Python to interpret data sets, identify trends, and generate reports. Fresh graduates in this role often collaborate with teams online, learn new analytical methods, and contribute to projects while building their skills and experience. The position offers flexibility and the opportunity to work with diverse industries without needing to be onsite.

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

To thrive as a Remote Data Analyst Fresh Graduate, you need a solid understanding of statistics, data interpretation, and a relevant degree in fields like mathematics, statistics, or computer science. Familiarity with data analysis tools such as Excel, SQL, Python, and visualization platforms like Tableau or Power BI is typically required. Strong attention to detail, critical thinking, and effective communication are essential soft skills, especially for remote collaboration and reporting insights. These skills and qualities are crucial for delivering accurate analyses and actionable recommendations in a distributed work environment.

What are some common challenges faced by fresh graduates working remotely as data analysts, and how can they overcome them?

Fresh graduates working remotely as data analysts often encounter challenges such as limited guidance, difficulty in understanding company data systems, and feeling isolated from team members. To overcome these, it is helpful to proactively schedule regular check-ins with supervisors, participate in virtual team meetings, and seek mentorship opportunities within the organization. Leveraging online collaboration tools and maintaining open communication can also help build relationships and ensure efficient workflow, even when working from different locations.

What is the difference between Remote Data Analyst Fresh Graduate vs Remote Data Analyst?

AspectRemote Data Analyst Fresh GraduateRemote Data Analyst
Required CredentialsBachelor's degree in relevant field; internship or entry-level experienceBachelor's or higher; some roles prefer certifications like SQL or Python
Work EnvironmentRemote, entry-level position, often part-time or internshipRemote or hybrid, with more complex projects and responsibilities
Employer & Industry UsageStartups, entry-level roles in tech, finance, healthcareEstablished companies, mid-level to senior roles across industries

The main difference between a Remote Data Analyst Fresh Graduate and a Remote Data Analyst lies in experience and responsibilities. Fresh graduates typically have limited experience and focus on learning and supporting data tasks, while experienced analysts handle complex analysis, reporting, and decision-making. Both roles often require similar educational backgrounds, but the level of expertise and project scope distinguishes them.

What are popular job titles related to Remote Data Analyst Fresh Graduate jobs in Toronto, ON?

For Remote Data Analyst Fresh Graduate jobs in Toronto, ON, the most frequently searched job titles are:

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

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

Remote Data Analyst Fresh Graduate jobs near you

Data Integration Engineer

GFR Technologies SE

Toronto, ON • Remote

Full-time

Posted 14 days ago

Job description

Data Integration Engineer (Azure & Databricks)

Location: Canada (Hybrid/Remote)
Experience: 5-8 Years

Position Overview

We are seeking a hands-on Data Integration Engineer to join our growing data and analytics team. This role is focused on the design, development, enhancement, and support of enterprise data integration solutions within an Azure and Databricks ecosystem.

The ideal candidate is an execution-oriented professional who enjoys building and supporting data pipelines, integrating data from multiple source systems, and implementing scalable modern data platform solutions. While the role requires participation in solution discussions, the primary focus is on delivery, implementation, and operational support, rather than enterprise architecture or strategic consulting.

Key Responsibilities

Data Integration & Engineering

  • Design, develop, and maintain scalable data integration pipelines using Azure and Databricks.
  • Build and support batch and near real-time data ingestion processes from multiple internal and external source systems.
  • Develop data transformation logic to support analytics, reporting, and business consumption requirements.
  • Implement data quality, validation, reconciliation, and monitoring processes.
  • Optimize pipeline performance and troubleshoot production issues.

Databricks Development

  • Develop and maintain Databricks notebooks, workflows, and processing pipelines.
  • Build transformation frameworks using Spark and Databricks best practices.
  • Support data ingestion, cleansing, enrichment, and aggregation activities.
  • Work with large and complex datasets across multiple domains.

Azure Data Platform Delivery

  • Develop solutions using Azure data services including:
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Azure Databricks
    • Azure SQL
    • Azure Synapse (preferred)
  • Support deployment, monitoring, and operational activities across the data platform.

Data Architecture Implementation

  • Implement and support Medallion Architecture (Bronze, Silver, Gold layers).
  • Ensure data lineage, governance, and consistency across the platform.
  • Contribute to data modeling and solution design discussions.
  • Translate architectural direction into technical implementation and delivery.

Team Collaboration

  • Collaborate closely with Data Engineers, Solution Architects, Product Owners, and Business Stakeholders.
  • Support ongoing initiatives and enhancements within an established delivery team.
  • Participate in Agile ceremonies, sprint planning, estimation, and backlog refinement.
  • Assist in production support, troubleshooting, and continuous improvement initiatives.

Required Qualifications

  • 5-8 years of experience in Data Engineering, Data Integration, or Data Platform Development.
  • Strong hands-on experience with Azure Databricks.
  • Proven experience building and supporting enterprise-scale data pipelines.
  • Strong understanding of data ingestion, transformation, and integration patterns.
  • Experience integrating data from multiple source systems and platforms.
  • Solid understanding of modern data lake and lakehouse architectures.
  • Experience implementing Medallion Architecture concepts.
  • Strong SQL development and data analysis skills.
  • Experience working within Agile delivery teams.

Technical Skills

Required

  • Azure Databricks
  • Apache Spark / PySpark
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • SQL
  • Python
  • Data Integration & ETL/ELT Development
  • Data Quality & Reconciliation

Preferred

  • Azure Synapse Analytics
  • Delta Lake
  • CI/CD for Data Pipelines
  • Azure DevOps
  • Git
  • Kafka or Event-Driven Architectures
  • Power BI

Preferred Experience

  • Experience supporting cloud-based analytics and reporting platforms.
  • Experience working with complex enterprise data ecosystems.
  • Exposure to financial services, insurance, banking, or regulated industries.
  • Experience supporting production environments and ongoing operational initiatives.
  • Familiarity with data governance and data management best practices.

Apply