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Remote Part Time Data Analytics Jobs in Burlington, ON

Total Performance Consulting

Data Engineer

Toronto, ON · Remote

Comfortable modeling data across relational and document-based systems, analyzing schemas, and ... Environment * US-based remote working within PT/ET time zones with the potential for occasional ...

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Remote Part Time Data Analytics information

What is a remote part time data analyst?

Remote part-time data analytics jobs involve analyzing data sets to uncover trends, insights, and patterns, all while working from a location outside a traditional office and on a reduced hours schedule. Professionals in this role use tools like Excel, SQL, or Python to clean, interpret, and visualize data for organizations to support decision-making. These jobs are ideal for individuals seeking flexibility, such as students or those with other commitments, and can be found across many industries including marketing, healthcare, finance, and technology. Typical tasks include creating reports, building dashboards, and supporting data-driven projects. Remote part-time positions usually require strong analytical skills, attention to detail, and the ability to communicate findings effectively.

What skills and qualifications are needed to thrive as a remote part time data analyst?

To thrive as a Remote Part Time Data Analyst, you generally need strong analytical skills, proficiency in statistics, and a relevant degree or coursework in data analysis, mathematics, or a related field. Familiarity with tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau or Power BI is typically required. Excellent time management, communication, and self-motivation are standout soft skills for working independently and collaborating remotely. These abilities are crucial for accurately interpreting data, delivering actionable insights, and maintaining productivity in a flexible, remote work environment.

What are common challenges faced by remote part time data analysts, and how can they be addressed?

Remote part-time data analysts often encounter challenges such as maintaining effective communication with team members, managing time across multiple projects, and accessing secure data remotely. To address these, it's important to establish clear communication channels—such as regular video meetings or dedicated chat groups—and use robust project management tools. Additionally, familiarizing yourself with your organization's data security protocols and time-tracking practices can help ensure a smooth workflow and data integrity while working remotely.

What is the difference between Remote Part Time Data Analytics vs Remote Part Time Data Analysis?

AspectRemote Part Time Data AnalyticsRemote Part Time Data Analysis
Required CredentialsTypically a degree in data science, statistics, or related field; certifications like Google Data Analytics or Microsoft ExcelSimilar credentials; often includes degrees in statistics, mathematics, or related areas; certifications are common
Work EnvironmentRemote, flexible hours, project-based tasksRemote, flexible hours, often involves data cleaning, visualization, and reporting
Employer & Industry UsageTech companies, finance, marketing agenciesMarket research firms, healthcare, e-commerce

Remote Part Time Data Analytics and Remote Part Time Data Analysis are closely related roles involving working with data remotely on a part-time basis. Data Analytics often emphasizes interpreting data to inform decisions, while Data Analysis may focus more on data cleaning and reporting. Both roles require similar skills, credentials, and work environments, making them interchangeable in many contexts.

What job categories do people searching Remote Part Time Data Analytics jobs in Burlington, ON look for?

The top searched job categories for Remote Part Time Data Analytics jobs in Burlington, ON are:

What cities near Burlington, ON are hiring for Remote Part Time Data Analytics jobs?

Cities near Burlington, ON with the most Remote Part Time Data Analytics job openings:

Remote Part Time Data Analytics jobs near you
Infographic showing various Remote Part Time Data Analytics job openings in Burlington, ON as of August 2026, with employment types broken down into 100% Part Time. Highlights an 21% In-person, and 79% Remote job distribution.

Data Engineer

Toronto, ON • Remote

Total Performance Consulting
11 - 50 employees
Learn more about Total Performance Consultingexternal

Part-time

Posted 9 days ago

Job description

Responsibilities
  • Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards.
  • Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs.
  • Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures.
  • Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads.
  • Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team
  • You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle.

Languages and Frameworks

  • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning.
  • MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems.
  • Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues.
  • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric.
  • Python, working proficiency for scripting, automation, and data pipeline support.
  • JS, Node.js, and joi experience a plus.
Tools
  • Experience maintaining projects using a distributed version control system such as Git and GitHub.
  • Experience in automated pipeline deployment and schemas into production environments.
  • You should be experienced with agile methods and the concepts behind continuous delivery.
  • We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST.
  • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation.
Education
  • BS in Computer Science and a minimum of five years of experience delivering production solutions
Focus
  • Minimum 5+ years working in Data Science.
  • We expect you to have a passion and experience in shipping and maintaining production software products.
  • You must have strong verbal and written skills.
  • We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized.
Environment
  • US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices.
  • We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued.

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