Specialist, Data Analysis (Anywhere In Canada)

Job Requisition ID: 9188

Language Designation: English Essential

Language Skill Levels (Read/Write/Speak): ZZZ

Position Status: Permanent Full Time

Travel Requirement: Travel not required

Office Location: Ottawa (ON); Calgary (AB); Halifax (NS); Montreal (QC); Toronto (ON); Vancouver (BC)

Salary: Our salaries generally range from $ 81410.14 to $ 101762.68 and are based on qualifications and experience.

At CMHC, we trust you to get the job done. We empower our employees to be fully autonomous and accountable in achieving their results.

Here are some of the reasons why we were chosen as one of Canada's top employers:

• An annual individual performance bonus;
• Defined benefit pension plan;
• Comprehensive group insurance to support your well-being from day one;
• Enjoy 5 weeks of vacation;
• An inclusive workplace culture and environment with multiple Employee Resource Groups and much more!
• Access to a catalogue of courses for individual learning;

Help make a difference for Canadians. CMHC’s aspiration is that by 2030, everyone in Canada has a home that they can afford and that meets their needs. All of our programs and activities support this singular goal.

Be part of an inclusive workplace. Diversity and Inclusion guides everything we do at CMHC. We’re taking  concrete actions to eradicate racism and advance equity within CMHC and the housing system.

Join CMHC’s Research team in the Specialist, Data Analysis position. In your role, you will undertake data retrieval, analysis and provide advice relating to social, economic, and socio-economic information with the ultimate purpose of informing decision-making and enhancing risk management.

Responsibilities

• Responds to data inquiries by providing thoughtful, evidence-based insights regarding the performance of various housing programs; conducts assigned portions of research studies and projects, providing support to teams to optimize data use.
• Applies data expertise and business knowledge to compile qualitative and quantitative data while helping internal and external stakeholders use data and interpret data results.
• Maintains relationships with key stakeholders to ensure availability of strategic data required to develop, validate, and implement models using state-of-the-art methods and technology.
• Conducts data mining and data analyses using a variety of tools to extract qualitative and quantitative data for reporting, model development and validation and the interpretation of model results; monitors the integrity of data and databases.
• Participates in the development of policies, guidelines and internal protocols regarding data, data-mining methodologies, procedures, and analytics.
• Documents all existing and newly developed data mining methodologies; compiles information and undertakes routine review and analysis on a variety of topics and issues.

Minimum Qualifications

• Undergraduate degree from a recognized university in Statistics, Actuarial Science, Mathematics, Quantitative Finance, Computer Science, or a combination of relevant professional work experience.
• Advanced project management skills; strong written and oral communication skills including presentation, negotiation and influencing skills, and the ability to speak and write clearly and succinctly in a variety of settings and styles to communicate messages that have the desired effect.
• Good understanding of data formats/structures and relevant tools used to extract data and perform complex analysis; ability to work in a sophisticated technological environment.
• Minimum of five years of relevant work experience with a demonstrated ability to conduct rigorous analysis using critical thinking and judgment to resolve complex issues.
• Demonstrated ability to capture and synthesize information to develop relevant, value-added recommendations and provide advice.
• Advanced knowledge of and experience with research and analysis of primary and secondary data using appropriate methodologies, qualitative and/or quantitative and statistical analysis and providing facts, evidence, and conclusions to support internal and external decision-making.
• Demonstrated experience developing research projects in terms of scope, objectives, methodologies, and project management.

Preferred Qualifications

• Knowledge of housing finance and knowledge of CRM is an asset.

Posting closing date: Note, the competition will remain active until filled.

IMPORTANT NOTICE – COVID-19 MEASURES

On June 14, 2022, the Government of Canada announced that as of June 20, 2022, it will suspend vaccination requirements for federal government employees. This decision followed a review of the current public health situation, including the evolution of the virus and vaccination rates in Canada. As a result, and consistent with the Government of Canada decision, CMHC has suspended its Vaccination Policy, effective June 20, 2022.

As a result, at this time, CMHC does not require employees to be fully vaccinated as a condition of employment. CMHC will continue to monitor the public health situation and may at any time make adjustments and adopt or reintroduce measures, including mandatory vaccination, attestation and verification requirements. Any such vaccination measures, as updated from time to time, shall form a term and condition of your employment at CMHC.

CMHC is an inclusive workplace where diversity of thought – and of people – are recognized, valued, and considered essential to achieving our aspiration .

We are committed to employment equity and actively encourage applications from women, Indigenous Peoples, persons with disabilities, veterans and persons of all races, ethnicities, religions, abilities, sexual orientations, and gender identities and expressions. We also welcome applications from non-Canadians who are eligible to work in Canada.

We sincerely thank all candidates for their interest, however, please note that only applicants selected for further consideration will be contacted. If selected for an interview or testing, please advise us if you require an accommodation.