Analyst, Business Systems

Job Requisition : 12290

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 $ 62393.27 to $ 77991.59 and are based on qualifications and experience.

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. 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.

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.
• While positions at CMHC require some in-office presence, alternative work arrangements may be considered for Indigenous candidates.

Join the Data team, in the Analyst, Business Systems 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 solid 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.

• Support 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.
• Identify where automation could create more efficient data related processes and implementing those efficiencies in end-user systems.
• Introduce new and follow 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 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) 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 and data processing frameworks, including Python and PySpark.

• An undergraduate degree in a quantitative discipline: computer science, statistics, applied mathematics, data analysis/science, engineering, or related quantitative field.
• A minimum 3 years of relevant programming and quantitative analysis experience.
• Advanced skills in Excel.
• Intermediate to advanced programming skills in Python, including Pandas and Num Py.
• Intermediate to advanced skills in SQL: ability to write complex queries, including JOINs and subqueries.
• The ability to work with Apache Spark and/or PySpark.
• Familiar with Azure Databricks and…