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Part Time Data Analyst R Programming Jobs in Ottawa, ON

Professeur a temps-partiel etudiant/ Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Experience with satellite remote sensing, spatial data analysis, and programming for geospatial ...

Professeur a temps-partiel etudiant/ Student Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ... Experience with GIS, spatial data analysis, and programming for geospatial data processing. An ...

... Biological Engineering Course Title: Data Collection and Interpretation Course Code: CHG3337 ... Combinatorial analysis; probability and random variables; discrete and continuous densities and ...

Faculte de genie / Faculty of Engineering Academic Unit: Ecole de conception et d'innovation ... DMAIC (define, measure, analyze, improve and control), process mapping, data collection and ...

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

Faculte de genie / Faculty of Engineering Academic Unit: Ecole de conception et d'innovation ... Professeur a temps-partiel regulier / Regular Part-Time Professor Date Posted (YYYY/MM/DD): 2026/05 ...

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Part Time Data Analyst R Programming information

What is the difference between Part Time Data Analyst R Programming vs Part Time Data Analyst Python?

AspectPart Time Data Analyst R ProgrammingPart Time Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentData analysis, reporting, statistical modelingData analysis, automation, machine learning projects
Industry UsageResearch, healthcare, financeTech, finance, marketing

Both roles involve data analysis in a part-time setting but differ mainly in programming language expertise. R is favored for statistical analysis and visualization, while Python is preferred for automation and machine learning tasks. Your choice depends on the specific tools and industry focus.

What are the most commonly searched types of Data Analyst R Programming jobs in Ottawa, ON? The most popular types of Data Analyst R Programming jobs in Ottawa, ON are:
What are popular job titles related to Part Time Data Analyst R Programming jobs in Ottawa, ON? For Part Time Data Analyst R Programming jobs in Ottawa, ON, the most frequently searched job titles are:
What job categories do people searching Part Time Data Analyst R Programming jobs in Ottawa, ON look for? The top searched job categories for Part Time Data Analyst R Programming jobs in Ottawa, ON are:
What cities near Ottawa, ON are hiring for Part Time Data Analyst R Programming jobs? Cities near Ottawa, ON with the most Part Time Data Analyst R Programming job openings:

APTPUO Part-Time Professor 2026 Fall SEG3501A

Uottawa

Ottawa, ON โ€ข On-site

CA$239.47/hr

Part-time

PTO

Posted 2 days ago


Job description

Posting Reason:

New Position

Location:

Main Campus

Academic Period:

2026 Fall Semester

Faculty:

Faculte de genie / Faculty of Engineering

Academic Unit:

Ecole de science informatique et de genie electrique \\ School of Electrical Engineering and Computer Science

Course Title:

Ingenierie des exigences

Course Code:

SEG3501

Section:

A

Course Description:

Techniques pour l'elicitation d'exigences. Langages et modeles pour representer les exigences. Techniques d'analyse et de validation, incluant l'analyse de besoins, de buts et de cas d'utilisations. Exigences dans le contexte de l'ingenierie des systemes. Specification et mesure de qualites externes: performance, fiabilite, disponibilite, surete, securite, etc. Specification et analyse d'exigences pour divers types de systemes: embarques, grand public, applications Web, d'affaires, pour scientifiques et autres ingenieurs. Resolution d'interactions entre services. Normes de documentation d'exigences. Tracabilite. Facteurs humains. Exigences dans le contexte de processus agiles. Gestion des exigences et des changements.

Posting limited to:

Professeur a temps-partiel regulier / Regular Part-Time Professor

Date Posted (YYYY/MM/DD):

2026/05/06

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

2026/06/07

Expected Enrolment:

n/a

Approval date:

2026/05/06

Number of credits:

3

Work Hours:

52

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:

B

Posting type:

Regulier / Regular

Language of instruction:

Anglais | English

Competence in second language:

Passive

Course Schedule:

Lundi | Monday 11:30-13:00 Jeudi | Thursday 13:00-14:30 -

Requirements:

Excellent knowledge of course subject matter, demonstrated by having taught similar or related courses, or demonstrated by relevant work experience. Applicants must also be licensed as a Professional Engineer. Regular applicants must have a doctorate and it should be in a field related to the course (especially in the case where the course is more specialized), if not, they must have a relevant work experience in a field related to the course, after having obtained their Ph.D.

Please include your P.Eng. License number and province of registration when applying.

Please note that the teaching method for this course will be delivered: IN PERSON.

The contract for this course will include a payment for 52 hours (instead of 39 hours), as it is required that the part-time professor teaching this course attends tutorials at least one hour per week (on average).

Additional Information and/or Comments:

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.