The cities near Halifax, NS that boast the highest number of data analyst jobs are:
OttawaSydneyDartmouthSt. John'sSaint JohnMonctonFrederictonCornwallCharlottetownMount Pearl
The 10 cities near Halifax, NS that have the most job openings are:
OttawaSydneyDartmouthSt. John'sSaint JohnMonctonFrederictonCornwallCharlottetownMount Pearl
The 10 most popular job searches in Halifax, NS are:
work from homefederal governmenthealthcarecanada postgovernmentnursernregistered nursesummerlpn
Office Location:
Ottawa (ON);

Calgary (AB);
Halifax (NS);

Montreal (QC);
Toronto (ON);

Vancouver (BC)Travel Requirement:
Travel not requiredLanguage Skill Levels (Read/Write/Speak):
ZZZSecurity Requirement:
Reliability StatusSalary:
Our salaries generally range from $ to $ and are based on qualifications and experience.About CMHCThe 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 youWe’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.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 roleJoin 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: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, NumPy, tidyverse, dplyr.Intermediate/advanced skills in SQL (complex queries, JOINs and subqueries), and Excel (for data analysis).Advanced skills in SAS combined with substantial experience working with SAS statistical software suite to perform programming tasks.Ability to translate business processes into business systems requirements.Valuable communication and presentation skills,

📌 Data Quality Analyst (Lakeside)
🏢 CMHC
📍 Lakeside