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Part Time Data Analyst Jobs in Kitchener, ON (NOW HIRING)

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Part Time Data Analyst information

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$11

$22

$43

How much do part time data analyst jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for part time data analyst in Kitchener, ON is $22.69, according to ZipRecruiter salary data. Most workers in this role earn between $16.15 and $23.55 per hour, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

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

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

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

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

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

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

Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Kitchener, ON as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 80% Physical, 3% Hybrid, and 17% Remote job distribution, with an average salary of $47,193 per year, or $22.7 per hour.

Remote Client Experience Manager

AO Garcia Agency

Cambridge, ON • Remote

Full-time, Part-time

Posted 16 days ago

Job description

Ready to Take Control of Your Income and Career?

If you're motivated, driven, and looking for more than a traditional 9-to-5, this could be the opportunity you've been searching for.

We're seeking ambitious individuals to join a growing remote team, helping clients who have already requested information about financial protection and benefits. With qualified leads, comprehensive training, and ongoing mentorship, you'll have the support you need to build a rewarding long-term career.

What You'll Do
  • Meet virtually with clients who have requested information
  • Understand each client's needs and explain available benefit options
  • Guide clients through the enrollment process with professionalism and care
  • Build lasting relationships through exceptional customer service
  • Maintain accurate client records and follow up as needed
What We Provide
  • Pre-qualified leads-no cold calling
  • 100% remote work environment
  • Flexible full-time or part-time scheduling
  • Comprehensive training-no prior experience required
  • Ongoing mentorship and coaching
  • Access to industry-leading technology and resources
  • Clear opportunities for career growth and leadership
Compensation
  • Performance-based earnings
  • Competitive commission structure with uncapped earning potential
  • Leadership and team development opportunities for top performers
We're Looking For
  • Self-motivated individuals with a strong work ethic
  • Excellent communication and interpersonal skills
  • Competitive mindset and desire to achieve personal and professional goals
  • Coachable attitude and willingness to learn
  • Ability to work independently in a remote environment
  • Previous customer service or sales experience is an asset but not required
This Opportunity May Be a Great Fit If You
  • Want greater control over your income
  • Are looking for a flexible remote career
  • Enjoy helping people and building relationships
  • Thrive in a performance-driven environment
  • Are excited to learn new skills and grow professionally
Ready to Learn More?

If you're interested in exploring a flexible remote career with unlimited growth potential, we'd love to connect with you.

Apply today to schedule a brief virtual interview and learn more about the role, our training program, and whether this opportunity is the right fit for you.

Please Note:

  • All interviews are conducted virtually via Zoom.
  • Global Elite Empire Consultants is an independent third-party recruiting firm and is not an insurance agency.
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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