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Part Time Weekend Data Analyst Jobs in Brampton, ON

Supply Chain Data Analyst Primary Job Location: Toronto, ON, Canada Location Flexibility ... Hybrid, Toronto based Employment Type (Permanent/Contract/Part -time/Intern): Permanent, Full-Time ...

HEALTH INFORMATION ANALYST

Toronto, ON · Hybrid

CA$42.68 - CA$46.31/hr

Retrieves, organizes, analyzes, interprets and reports data using appropriate methods to support ... NOTE TO INTERNAL FULL-TIME AND PART-TIME CITY OF TORONTO EMPLOYEES: City of Toronto employees must ...

Business Analyst

Toronto, ON · Hybrid

CA$85K - CA$105K/yr

Business Analyst, Data & Insights (Power BI) Location: Etobicoke Corporate Office (Hybrid - In ... We offer a 40% child care discount to ALL Full-time employees & 10% to Part-time employees so that ...

Design secure, scalable platforms across Fabric, Azure and Databricks that make data ready for analytics and AI. Join Us in Building the Future At Architech, we don't just ship software. We partner ...

... part-time opportunities at any given time. We aim to provide our people with more than just a job ... Analyze and interpret sustainability data related to greenhouse gas emissions, energy, waste, and ...

Senior Architect - Data & AI

Toronto, ON · Hybrid

CA$115K - CA$160K/yr

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... Design and optimize cloud analytics solutions including data lakes, MLOps pipelines, automation ...

In addition to salary, full-time and part-time permanent employees are eligible for an annual bonus ... This role is ideal for a CPA-designated professional with a passion for data-driven decision-making ...

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Part Time Weekend Data Analyst information

What is a part time weekend data analyst?

Part time weekend data analysts are professionals who work with data to help organizations make informed decisions, but their work schedule is limited to weekends and often on a part-time basis. They collect, process, and analyze data using statistical tools and software, then present their findings to guide business strategies. This role is ideal for those who need flexibility or want to supplement their income, as it allows for work outside traditional weekday hours. Key responsibilities include data cleaning, report generation, and supporting data-driven decision-making. Employers often seek candidates with strong analytical skills, proficiency in tools like Excel or SQL, and the ability to communicate insights clearly.

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

To thrive as a Part Time Weekend Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data visualization tools (like Tableau or Power BI), spreadsheet software (Excel), and programming languages such as SQL or Python is typically required. Attention to detail, effective communication, and time management are vital soft skills, especially for independently handling weekend projects. These skills enable accurate data-driven insights, efficient reporting, and timely decision-making even with limited weekday collaboration.

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

Part-time weekend data analysts often face challenges such as limited access to team members who work standard weekday hours and tighter deadlines due to condensed work schedules. To address these, it's helpful to establish clear communication channels with colleagues and supervisors, proactively clarify expectations, and use collaborative tools that allow for asynchronous updates. Additionally, effective time management and setting priorities are essential to ensure that data analysis tasks are completed accurately and on time. Seeking feedback during available hours and documenting work thoroughly can further help maintain workflow continuity.

Is it still worth it to become a part time weekend data analyst in 2026?

Part time weekend data analyst roles can still be valuable in 2026, especially for gaining experience with data analysis tools like Excel, SQL, or Python. These positions often offer flexible schedules and can serve as stepping stones to full-time roles or specialized skills in data management and reporting.

What are the most commonly searched types of Weekend Data Analyst jobs in Brampton, ON?

The most popular types of Weekend Data Analyst jobs in Brampton, ON are:

What job categories do people searching Part Time Weekend Data Analyst jobs in Brampton, ON look for?

The top searched job categories for Part Time Weekend Data Analyst jobs in Brampton, ON are:

What cities near Brampton, ON are hiring for Part Time Weekend Data Analyst jobs?

Cities near Brampton, ON with the most Part Time Weekend Data Analyst job openings:

CA$65K - CA$87K/yr

Full-time, Part-time

Medical, Dental, Life, Retirement

Posted 3 days ago

New


Job description

Permanent Full Time 

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Canada Life is seeking a highly skilled Data Analyst to join the Insurance Solutions team. As a part of the Performance Management area, this role will be responsible for supporting the data management, analysis, and reporting needs of the department. The Data Analyst supports decision-making, monitors business performance, and provides actionable insights using analytics and visualizations tailored to different audiences.

The role will benefit from collaboration with subject matter experts and data scientists. If you are looking to become a subject matter expert in connected data and help guide the team in improving processes through data mining and analysis, this is the role for you.

Given the size and scope of our organization, we have the flexibility for this position to be located in the following head office locations: Toronto and London. 

What you will do

Build, implement, and maintain data models, custom reports, and dashboards, keeping in mind the needs of varied audiences
Create visually compelling presentations and use strong communication skills to present them to stakeholders (ability to build a narrative that outlines the background and highlights the impact of initiatives)
Identify opportunities to ingest data, prioritize data needs, and build data marts to drive efficiencies in reporting functions
Leverage data expertise to support new initiatives through analysis and ongoing reporting across the entire analytics lifecycle
Communicate requirements to the Technology team for development and ensure smooth deployment of data projects after performing data quality testing
Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs
Support existing data owners in their data management practices, ensuring a single source of truth
Work with large datasets that may be inconsistent, unclean, or not fully modeled
Ensure best practices are followed with respect to data governance and structure
Communicate effectively while demonstrating critical thinking and business acumen

What you will bring

University or College education in a related field of study, or an equivalent combination of education and experience
Experience working with raw data and manipulating large datasets
Proficiency in Excel, Power BI, data modelling, and Databricks, with experience creating interactive dashboards
Ability to work with diverse data inputs and build data marts aligned with business requirements
Proven ability to learn quickly, work independently, and manage multiple priorities in a fast-paced environment
Ability to work with little to no documentation or instructions
Strong attention to detail, with the ability to produce high-quality outputs under tight timelines
Driven to continuously improve processes, performance, and efficiency
Knowledge of the organization, distribution channels, products, systems, and data is an asset
Ability to write complex SQL queries to extract and integrate data from multiple sources
Proficiency in scripting languages such as Python or R
Hands-on experience with Azure compute services and a good understanding of Azure Data Factory pipelines 
Preferred: Microsoft Certified - Azure Data Analyst Associate (Power BI) certification

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The base salary for this position is between $65,800 - $87,700 annually. This represents base salary only and does not represent other variable compensation components of our total compensation ( i.e. annual bonus, commission etc). If you are selected to move forward in our recruitment process, your recruiter will be able to discuss additional details of our total rewards program with you.

Career opportunities will be open a minimum of 5 business days from the date of posting, closing dates will vary depending on the search activity. All applications received will be reviewed on a rolling basis.

Grow with Canada Life 

We're united by a shared purpose: to improve the financial, physical and mental well-being of Canadians. Our company is trusted by 1 in 3 Canadians and contributes to the strength of communities across the country.  

We're looking for people who live our values everyday: we step up, we do the right thing, and we deliver - for our customers, communities and each other. Are you someone who always strives to do the right thing, who steps up for themselves and others, and who delivers with impact? Then we want to hear from you! 

What we offer:  

We're committed to supporting our employees through every stage of their career. Here's what you can expect as a full-time or part-time permanent team member: 

  • Career Development: Opportunities for career advancement, access to industry-leading learning programs and up to$2,000 annually towards education reimbursement. 
  • Health & Wellness:Flexible health and dental benefits, plus a $5,000 mental health benefit to support your well-being. 
  • Time Off:In addition to regular vacation and personal days, we support community involvement with a volunteer day. 
  • Financial Security:Company-matching pension plan,share ownership program and additionalinvestment options. 
  • Rewards and Recognition: Employee recognition programs, service milestone celebrations, employee discounts and more!  
  • Emphasis on Community: We provide a workplace where employees feel connected and supported through Employee Resource Groups (ERGs), mentorship programs, social clubs and events.  

Learn more about Canada Life.  

We're committed to removing barriers and ensuring equal access to employment. Applicants requiring reasonable accommodation during the application process may contact  talentacquisitioncanada@canadalife.com. All information provided will be handled in accordance with applicable laws and Canada Life policies.  

Canada Lifewould like to thank all applicants, however only those who qualify for an interview will be contacted. 

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