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Part Time Entry Level Data Analyst Jobs in Ottawa, ON

ParaMed

Personal Support Worker - Part Time

Osgoode, ON · On-site

CA$21.97/hr

If you would like more information about how your data is processed, please contact us. Time Type ... applications, analyzing resumes, or assessing candidate responses. These tools assist our ...

ParaMed

Personal Support Worker - Part Time

Greely, ON · On-site

CA$21.97/hr

If you would like more information about how your data is processed, please contact us. Time Type ... applications, analyzing resumes, or assessing candidate responses. These tools assist our ...

Royal Bank of Canada

Client Advisor

Winchester, ON · On-site

... Data Analysis, Digital Literacy Additional Job Details Address: 440 MAIN STREET SOUTH:ALEXANDRIA City: Alexandria Country: Canada Work hours/week: 21.5 Employment Type: Part time Platform: PERSONAL ...

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Part Time Entry Level Data Analyst information

What is a part time entry level data analyst?

A part time entry level data analyst is someone who works fewer hours than a full-time employee and is typically new to the field of data analysis. Their main responsibilities include collecting, cleaning, and interpreting data to help organizations make informed decisions. They often use basic tools like Excel or introductory data analysis software, and work under the supervision of more experienced analysts. Entry level roles are designed for those who may have limited professional experience or are recent graduates looking to build their skills.

What types of projects and tasks can I expect to handle as a part time entry level data analyst?

As a part-time entry level data analyst, you'll typically work on tasks such as cleaning and organizing raw data, creating basic reports and visualizations, and assisting with data quality checks. You might also help maintain databases or support senior analysts with ongoing projects, such as tracking key metrics or preparing presentations. The projects are usually well-defined and supervised, making this role an excellent opportunity to build foundational skills while working closely with experienced team members.

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

To thrive as a Part Time Entry Level Data Analyst, you generally need a basic understanding of statistics, data interpretation, and proficiency with spreadsheet tools like Microsoft Excel, often supported by a relevant degree or coursework. Familiarity with data visualization software (e.g., Tableau), databases (e.g., SQL), and potentially introductory certifications in analytics are common requirements. Attention to detail, problem-solving abilities, and effective communication are soft skills that set standout candidates apart. These skills and qualities are crucial for accurately analyzing data, drawing meaningful insights, and clearly presenting findings to support organizational decision-making.

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For Part Time Entry Level Data Analyst jobs in Ottawa, ON, the most frequently searched job titles are:

What job categories do people searching Part Time Entry Level Data Analyst jobs in Ottawa, ON look for?

The top searched job categories for Part Time Entry Level Data Analyst jobs in Ottawa, ON are:

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Cities near Ottawa, ON with the most Part Time Entry Level Data Analyst job openings:

Part Time Entry Level Data Analyst jobs near you
Infographic showing various Part Time Entry Level Data Analyst job openings in Ottawa, ON as of August 2026, with employment types broken down into 100% Part Time. Highlights an 91% In-person, and 9% Remote job distribution.

ATPUO - Winter 2027 - ADM3308M - Business Data Mining

Uottawa

Ottawa, ON

CA$239.47/hr

Part-time

PTO

Posted 2 days ago

New

Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2027 Winter Semester

Faculty:

Ecole de gestion Telfer / Telfer School of Management

Academic Unit:

Telfer School of Management

Course Title:

Business Data Mining

Course Code:

ADM3308

Section:

M

Course Description:

Introduction to the data mining process, data mining tasks including classification, clustering and association rules, as well as data mining modeling techniques such as decision trees, neural networks, and regression analysis. Introduction to the management of Big Data and Big Data Analytics. Examples in various managerial applications including Customer Relationship Management, marketing, sales, credit scoring, churn, and survival analysis.

Posting limited to:

Professeur a temps-partiel etudiant/ Student Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/08/24

Applications must be received BEFORE (YYYY/MM/DD):

2026/09/24

Expected Enrolment:

60

Approval date:

2026/08/24

Number of credits:

3

Work Hours:

39

Hourly Rate:

Enseignement / Teaching: $239.47 (2024-2025)

The academic year starts on September 1 and ends on August 31.

These rates do not included vacation pay nor statutory pay.

These rates will be applied until a new collective agreement is ratified. Retro will be paid after the ratification.

Course type:

C

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Mardi | Tuesday 17:30-19:00 Jeudi | Thursday 17:30-19:00 -

Requirements:

Must have an MBA or Master's Degree (PhD preferred) in an area directly related to the course and demonstrate recent relevant experience in the area of the course. Must also have teaching experience, preferably in the area of Business Data Mining.

Teaching mode:

Please note that the teaching method will be delivered in person. Teaching method might incur changes due to health measures or other reasons.

Additional Information and/or Comments:

This section first prioritizes PhD. candidates in an area directly related to the course and demonstrate recent relevant experience in the area of the course.

An acceptable level of education and/or experience could be viewed as being equivalent to the educational required and/or demonstrated experience. If you are invited to continue the selection process, please notify us of any adaptive measures you might require. Information you send us will be handled respectfully and in complete confidence. Employees are required under provincial law to successfully complete all mandatory legislated training. The list of training may be modified by provincial law.

The hiring process will be governed by the current APTPUO collective agreements; you can click here for the main unit, here for the OLBI unit, or here for the Toronto/Windsor unit to find out more.

The University of Ottawa embraces diversity and inclusion in the workplace. We are passionate about our people and committed to employment equity. We foster a culture of respect, teamwork and inclusion, where collaboration, innovation, and creativity fuel our quest for research and teaching excellence. While all qualified persons are invited to apply, we welcome applications from qualified Indigenous persons, racialized persons, persons with disabilities, women and LGBTQIA2S+ persons. The University is committed to creating and maintaining an accessible, barrier-free work environment. The University is also committed to working with applicants with disabilities requesting accommodation during the recruitment, assessment and selection processes. Applicants with disabilities may contact vra.affairesprofessorales@uottawa.ca to communicate the accommodation need. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority.

Prior to May 1, 2022, the University required all students, faculty, staff, and visitors (including contractors) to be fully vaccinated against Covid-19 as defined in Policy 129 - Covid-19 Vaccination. This policy was suspended effective May 1, 2022 but may be reinstated at any point in the future depending on public health guidelines and the recommendations of experts.

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