Data Analyst and Data Scientist

Important messages

We are committed to providing an inclusive and barrier-free work environment, starting with the hiring process. If you need to be accommodated during any phase of the evaluation process, please use the Contact information below to request specialized accommodation. All information received in relation to accommodation will be kept confidential.

Assessment accommodation

Please note that the candidates will be assessed on their ability to communicate in writing using the answers to the screening questions and their resumé.

When you apply, you must demonstrate how you meet the education and experience requirements, as well as the assets, by answering the online screening questions. It is not enough to indicate that you meet the qualifications or to provide a list of past or current responsibilities. You must indicate how, when and where you acquired these qualifications by providing concrete examples. The résumé will only be used to confirm the information provided. If the demonstration of your experience is not explicit enough, your application may be screened out.

Please note that screening may be based on pre-selected assets based on operational requirements.

Duties

The roles are as follows:

Data Analyst: This role is dedicated to providing all reporting and analysis requirements for one of Government of Canada’s top people management priorities - Diversity, Equity and Inclusion. In this role, the Analyst will lead the production of regular Employment Equity (EE) Status Report and respond to ad hoc EE data requests. They will also explore how other HR datasets can be leveraged to measure progress and efforts to improve diversity and inclusion at PSPC (e.g. staffing/recruitment, talent management data, etc.).

Data Scientist: This role will be responsible to advance our automation and analytics capacity by leading key digital transformation projects (e.g. automation of our regular workforce demographic reports by leveraging tools like R). They will also have opportunities to work hand-in-hand with our HR Systems team as well as colleagues in our Digital Services Branch and Chief Data Office, to explore potential use cases to test/prototype analytics capabilities and solutions.

Work environment

Are you passionate about data and analytics? Are you naturally curious, results-oriented and motivated to help others draw insights through their data story? Are you ready for an opportunity to be part of a digital transformation, one that has the potential to leverage an incredible source of data to propel us into a new way of working? Look no further!

The HR Analytics team at PSPC needs you! We are a forward-thinking team looking to transform how we leverage the use of data to uncover HR business solutions and support innovative and strategic people management approaches.

In a nutshell, we are the data team! We manage incoming HR data requests, we prepare demographic and operational data for broader consumption through regular reporting, we develop dashboards and other data visualizations, we create efficiencies through various automation projects, and we offer expertise and support the development of surveys. Furthermore, as we continue to mature as a data-driven organization, we are also exploring potential use cases to test/prototype advanced analytics capabilities and solutions. There are many opportunities on the horizon to innovate, test out new ideas, and explore the art of the possible!

Intent of the process

The process intent is to fill two indeterminate positions.

A pool of partially qualified candidates may be established and used to staff identical or similar positions for various duration, location, language requirements, and conditions of employment, within the Federal Public Service.

By applying to this process, you consent to your personal application-related information being shared with other government departments interested in staffing similar positions.

Positions to be filled: 2

Information you must provide

Your résumé.

In order to be considered, your application must clearly explain how you meet the following (essential qualifications)

EDUCATION

Graduation with a degree* from a recognized post-secondary institution with acceptable specialization in economics, sociology or statistics.

*The term “degree” refers to a baccalaureate as established by educational authorities.

Degree equivalency

EXPERIENCE

• Experience in large scale data analysis including at least two of the following elements: data management, validation, cleaning, categorizing, database development, data mining, data visualization.
• Experience in undertaking research and analysis to produce reports summarizing empirical findings for senior management*.
• Experience in establishing and managing relationships with internal or external stakeholders for the development and implementation of new products or initiatives.

*Senior management is defined as at the Director level or equivalent and above.

The following will be applied / assessed at a later date (essential for the job)

Bilingual - Imperative (BBB/BBB)

Information on language requirements

ABILITIES AND SKILLS

Ability to analyze and present complex data to non-technical audiences.
Communication
Demonstrating integrity and respect
Thinking things through
Working effectively with others
Showing initiative and being action-oriented
Client service competency - Level 1

The following may be applied / assessed at a later date (may be needed for the job)

ASSETS QUALIFICATION
Specialization or coursework in one or more of the following areas: mathematics, computer science, data science/data analytics, demography/population studies, or computer engineering.

Degree equivalency

Experience in analyzing various sources of Human Resources data.
Experience with Business Intelligence tools (such as CognosBI, PowerBI, Tableau, etc.).
Experience in using statistical methods to make predictions with data.
Experience working with surveys (including design/development, manipulation and analysis of data, reporting, etc.).
Experience in using machine learning methods to solve problems.
Experience developing and implementing data models.
Experience in using programming languages (Python, R, or SAS) techniques used to analyze and present complex data to non-technical audiences.

ORGANIZATIONAL NEEDS
In support of achieving a diversified workforce, consideration may be given to candidates, who, at the time of application, indicate (self-declaration)* that they are belonging to one of the following designated Employment Equity groups: Aboriginal person, Person with a Disability, Member of visible Minority group, Woman.

* If applicable, we encourage you to self-declare by checking off the appropriate box within the online application under the Employment Equity (EE) section if you wish to be considered for opportunities targeting EE groups. If you do not complete the questionnaire, you will not be considered for those opportunities as part of this process. Please note, you can self-declare at a later date, via the application system.

To learn more about self-declaring, we encourage you to consult the following website: https://www.canada.ca/en/services/jobs/opportunities/government/self-declaring-because-we-care.html

Conditions of employment

Reliability Status security clearance

Other information

The Public Service of Canada is committed to building a skilled and diverse workforce that reflects the Canadians we serve. We promote employment equity and encourage you to indicate if you belong to one of the designated groups when you apply.

Information on employment equity

We will communicate with you about this process by email. Applicants should use an email address that accepts messages from unknown senders (some email systems block such messages).

Persons are entitled to participate in the appointment process in the official language of their choice.

All applications must be submitted online through the GC Jobs website.

Preference

Preference will be given to veterans and to Canadian citizens, in that order, with the exception of a job located in Nunavut, where Nunavut Inuit will be appointed first.

Information on the preference to veterans

We thank all those who apply. Only those selected for further consideration will be contacted.