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HomeCompaniesCanada English Avisonyoung Icims ComLead, Analytics Engineering

Lead, Analytics Engineering

Canada English Avisonyoung Icims Com · Toronto, ON, CA · On Site · Active · $130,000–$160,000 / day · iCIMS

Job facts

FieldValue
CompanyCanada English Avisonyoung Icims Com
TitleLead, Analytics Engineering
Normalized title-
Department / teamInformation Technology
LocationToronto, ON, Canada
Work modelOn Site
Employment typeFull Time
Salary$130,000–$160,000 / day
Statusactive
ATS provideriCIMS
Posted / first seen2026-04-23 / 2026-05-31
Changed / last seen2026-06-01 / 2026-06-06

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PageWhat it containsOpen
Company jobsActive postings from Canada English Avisonyoung Icims Com.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through iCIMS.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Toronto.Open
Department jobsActive postings in Information Technology.Open
Work model jobsActive On Site postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyCanada English Avisonyoung Icims Com
Source76342be7-5676-4861-9dab-5ec469a2a6e8
ATS provideriCIMS

Description

Our Story About You: You are a high achiever looking to thrive in a fast-paced environment. You take pride in your own work but are comfortable collaborating with a team of highly motivated individuals. You can communicate clearly and concisely with teammates and clients, and you enjoy strong company culture and camaraderie. You can navigate multiple corporate functions, including global lines of service and corporate centers of excellence. You possess strong interpersonal skills and are willing to take on diverse tasks to achieve the team’s common goal. You value personal and professional growth and are ready to take the next step in advancing your career.If this sounds like you, well, then you will love the culture at Avison Young! About Us: Avison Young is a global commercial real estate brokerage and advisory firm, offering transaction, management, financial and consulting services. We’ve designed our corporate structure to best serve our clients by enhancing collaboration across our organization.Real estate can have an enormous positive impact on people’s lives – and we’re in the business of making spaces and places work better for people. Our purpose is to create real economic, social and environmental value as a global real estate advisor, powered by people.We care about each other and we have each other’s backs. This makes Avison Young a great place to be a client, and a great place to work. We support the whole person and their complete wellness – economic, mental and physical – because what’s best for our business comes from our people bringing their whole selves to work. Of course we love it here, but outsiders think we’re pretty great too! Avison Young has been recognized as one of Canada's Best Managed Companies for the 13th year in a row, with a Platinum Club designation! Overview As Lead, Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate decision makers across investor, occupier, and public sector client segments. You will partner with our clients, advisory team, and leadership to design solutions that support complex use cases across portfolio analysis, site and market search, and highest and best use. The ideal candidate combines deep familiarity with commercial real estate strategy and data with strong product management expertise to translate complex needs into scalable, insight-driven solutions. They excel at partnering with stakeholders to shape strategy and test value and with engineering teams to deliver usable products. The base salary is aligned with market data and is estimated to be between $130,000 to $160,000 with the ability to achieve additional compensation through a bonus. This salary range reflects base compensation for the position across all Canadian locations. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equity. This posting is for an existing vacancy withing our organization. Responsibilities Lead the full lifecycle – from discovery and concept development, to test, scale, launch, and iteration – for data products and data science models. Develop mathematical and algorithmic approaches to address complex commercial real estate decisions overseeing the work of the data science and data engineering teams. Participate in the daily development processes with the engineering, data science, and product teams to deliver usable data products, directly contributing to the business and technical requirements and testing and validation of the data products. Manage data and technology vendor relationships through renewals, delivery timeliness, and data evaluation. Ensure compliance and responsible data usage and governance practices across all data products and workflows. Collaborate with clients, advisory team, and leadership to assess client needs, test value, and guide direction of data products. Support go-to-market teams with positioning and product market fit of new and upcoming products. Communicate strategy, roadmap and release plans to internal stakeholders and to clients. Define and track success metrics on delivered data products. And other duties as assigned. Qualifications Minimum of 10 years of experience in commercial real estate strategy, with at least 5 years working directly with technology, data, and analytics. Bachelor’s degree in data analytics, data engineering, business, real estate, or a related field. Strong understanding of SQL, data architecture, data pipelines, and geospatial datasets. Strong understanding of commercial real estate strategy. Excellent verbal, written, and presentation skills. A self-starter with a proactive and entrepreneurial mindset. Proven ability to influence without authority and build strong, collaborative relationships across teams. Workplace Type On-Site Our Equal Opportunity Commitment Avison Young practices as an equal opportunity employer in all services locations around the world. We are committed to building and maintaining a workforce diverse in experience, skills and knowledge with uniformity in service excellence, commitment and integrity. The firm maintains a strict policy to ensure employment opportunities are equal and do not discriminate based on race, color, religion, creed, age, sex, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, protected veteran or military service status, or any other elements protected by law. Avison Young welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates during the recruitment process. For those requiring assistance, information relating to the need for accommodation and accommodation measures will be addressed confidentially. Avison Young is committed to employing the best talent with the most fair and equitable recruitment practices. Apply with us TODAY!

Full job record

Job IDe493fc4f61929a62f34c55d1aa126bbbcc1adb26
Org ID03dcdc1e-1950-4a50-8621-9aa268b2d516
Source ID76342be7-5676-4861-9dab-5ec469a2a6e8
Board ID76342be7-5676-4861-9dab-5ec469a2a6e8
Providericims
Provider Job Key5692
TitleLead, Analytics Engineering
Normalized Title
Statusactive
Activeyes
Location TextToronto, ON, CA
DepartmentInformation Technology
Team
Employment Typefull_time
Workplace Typeon_site
Remote Policy
CountryCanada
RegionON
CityToronto
Salary RawOur Story About You: You are a high achiever looking to thrive in a fast-paced environment. You take pride in your own work but are comfortable collaborating with a team of highly motivated individuals. You can communicate clearly and concisely with teammates and clients, and you enjoy strong company culture and camaraderie. You can navigate multiple corporate functions, including global lines of service and corporate centers of excellence. You possess strong interpersonal skills and are willing to take on diverse tasks to achieve the team’s common goal. You value personal and professional growth and are ready to take the next step in advancing your career.If this sounds like you, well, then you will love the culture at Avison Young! About Us: Avison Young is a global commercial real estate brokerage and advisory firm, offering transaction, management, financial and consulting services. We’ve designed our corporate structure to best serve our clients by enhancing collaboration across our organization.Real estate can have an enormous positive impact on people’s lives – and we’re in the business of making spaces and places work better for people. Our purpose is to create real economic, social and environmental value as a global real estate advisor, powered by people.We care about each other and we have each other’s backs. This makes Avison Young a great place to be a client, and a great place to work. We support the whole person and their complete wellness – economic, mental and physical – because what’s best for our business comes from our people bringing their whole selves to work. Of course we love it here, but outsiders think we’re pretty great too! Avison Young has been recognized as one of Canada's Best Managed Companies for the 13th year in a row, with a Platinum Club designation! Overview As Lead, Analytics Engineering at Avison Young Technologies, you will lead the strategy and execution of our proprietary data products and models that empower commercial real estate decision makers across investor, occupier, and public sector client segments. You will partner with our clients, advisory team, and leadership to design solutions that support complex use cases across portfolio analysis, site and market search, and highest and best use. The ideal candidate combines deep familiarity with commercial real estate strategy and data with strong product management expertise to translate complex needs into scalable, insight-driven solutions. They excel at partnering with stakeholders to shape strategy and test value and with engineering teams to deliver usable products. The base salary is aligned with market data and is estimated to be between $130,000 to $160,000 with the ability to achieve additional compensation through a bonus. This salary range reflects base compensation for the position across all Canadian locations. Within this range, individual pay is determined by work location and other factors, including relevant education/training, experience, and internal equity. This posting is for an existing vacancy withing our organization. Responsibilities Lead the full lifecycle – from discovery and concept development, to test, scale, launch, and iteration – for data products and data science models. Develop mathematical and algorithmic approaches to address complex commercial real estate decisions overseeing the work of the data science and data engineering teams. Participate in the daily development processes with the engineering, data science, and product teams to deliver usable data products, directly contributing to the business and technical requirements and testing and validation of the data products. Manage data and technology vendor relationships through renewals, delivery timeliness, and data evaluation. Ensure compliance and responsible data usage and governance practices across all data products and workflows. Collaborate with clients, advisory team, and leadership to assess client needs, test value, and guide direction of data products. Support go-to-market teams with positioning and product market fit of new and upcoming products. Communicate strategy, roadmap and release plans to internal stakeholders and to clients. Define and track success metrics on delivered data products. And other duties as assigned. Qualifications Minimum of 10 years of experience in commercial real estate strategy, with at least 5 years working directly with technology, data, and analytics. Bachelor’s degree in data analytics, data engineering, business, real estate, or a related field. Strong understanding of SQL, data architecture, data pipelines, and geospatial datasets. Strong understanding of commercial real estate strategy. Excellent verbal, written, and presentation skills. A self-starter with a proactive and entrepreneurial mindset. Proven ability to influence without authority and build strong, collaborative relationships across teams. Workplace Type On-Site Our Equal Opportunity Commitment Avison Young practices as an equal opportunity employer in all services locations around the world. We are committed to building and maintaining a workforce diverse in experience, skills and knowledge with uniformity in service excellence, commitment and integrity. The firm maintains a strict policy to ensure employment opportunities are equal and do not discriminate based on race, color, religion, creed, age, sex, gender, gender identity or expression, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, protected veteran or military service status, or any other elements protected by law. Avison Young welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates during the recruitment process. For those requiring assistance, information relating to the need for accommodation and accommodation measures will be addressed confidentially. Avison Young is committed to employing the best talent with the most fair and equitable recruitment practices. Apply with us TODAY!
Salary Min130,000
Salary Max160,000
Salary CurrencyUSD
Salary Periodday
Source URLhttps://canada-english-avisonyoung.icims.com/jobs/5692/lead%2c-analytics-engineering/job
Apply URLhttps://canada-english-avisonyoung.icims.com/jobs/5692/lead%2c-analytics-engineering/job
First Seen At2026-05-31 18:42:23Z
Last Seen At2026-06-06 08:27:01Z
Last Checked At2026-06-06 08:27:01Z
Last Changed At2026-06-01 13:54:39Z
Inactive At
Source Posted At2026-04-23 04:00:00Z
Source Updated At2026-04-23 21:04:18Z
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