Senior, Data Analyst
Job in
Halifax, Nova Scotia, Canada
Listing for:
CMHC
Full Time
position
Listed on 2025-12-25
Job specializations:
-
IT/Tech
Data Analyst, Data Engineer, Data Scientist, Data Science Manager
Salary/Wage Range or Industry Benchmark: 71761 - 89701 CAD Yearly
CAD
71761.00
89701.00
YEAR
Job Description & How to Apply Below
Job Requisition : 10941
Position Status: Permanent Full Time
Position Type: Hybrid
Office
Location:
Ottawa (ON);
Calgary (AB);
Halifax (NS);
Montreal (QC);
Toronto (ON);
Vancouver (BC)
Travel Requirement: Travel not required
Language Designation: English Essential
Language Skill Levels (Read/Write/Speak): ZZZ
Security Requirement: Reliability Status
Salary: Our salaries generally range from $ 71761.28 to $ 89701.60 and are based on qualifications and experience.
About CMHC
The work you do and the work we do together matters. We come to work every day with a common purpose: to contribute to a well-functioning housing system.
At CMHC, we hold ourselves accountable for our results and support our colleagues in their achievements. We thrive on collaboration , connecting across CMHC and involving the right people to get our work done. We have flexibility , in how, when, and where we work, within the boundaries of the business needs and the nature of your role. Our leadership style is guided by trust , where our leaders favour an adaptive approach based on the needs of their teams.
Join us and be part of a team that's committed to making a real difference and be part of something meaningful.
What’s in it for you
We’ve got the purpose, the people and the perks you need for a fulfilling career. Here’s the comprehensive and generous benefits you get when you’re a permanent employee:
Annual paid vacation.Annual individual performance incentive.Defined benefit pension plan.Comprehensive group insurance plan to support your well-being from day one.Support towards your personal and professional growth with training, mentorship and more.An inclusive workplace culture and environment.About the role
Join the Data Dissemination team in the Senior, Data Analyst position. The role involves the delivery of data services and products to both internal and external clients through effective systems analysis and design, modeling, programming and data manipulation. The ideal candidate will have strong programming and analytical skills and can also understand client needs and translate this into useful data. This is a challenging and exciting role for someone who is passionate about data and wants to make a difference in the housing sector.
What you’ll do:
Lead business-as-usual production of various data products and reports (includes production of static data tables in Excel, Power BI dashboards, and flat files for website applications such as the Housing Market Information Portal).Perform programming and quantitative analysis services on research or policy issues by accessing internal and external data sources, integrating and reconciling data from alternate sources, analyzing and disseminating results in order to respond to client custom data requests.Manage and complete multiple simultaneous data-related projects by recommending work schedules and delivering products as requested.Identify where automation could create more efficient data related processes and implementing those efficiencies in end-user systems.Introduce new - and following existing - quality assurance processes to ensure that all disseminated products contain accurate data and are of high quality.Maintain definitions and descriptions of data produced, stored and used by the Data Division; ensure good process documentation.Assist with Data Division technology and data transformation projects: this involves migrating large data sets from legacy systems (Mainframe, SAS datasets, Cloudera) to Azure Databricks platform as well as modernizing and automating data ingestion, processing, quality assurance and dissemination.Assist in transforming legacy SAS code to other programming languages including Python/PySpark and R.What you should have:
Undergraduate degree in a quantitative discipline: computer science, statistics, applied mathematics, data analysis/science, engineering, or related quantitative field.Minimum 3 years of relevant programming and quantitative analysis experience or an equivalent combination of education and related experience.Intermediate/advanced Python or R programming skills, including Pandas, Num Py, tidyverse, dplyr.Intermediate/advanced skills…
Position Requirements
10+ Years
work experience
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