Candidates need experience analyzing commercial or operational data, advanced Excel skills, and the ability to structure ambiguous problems and turn them into clear recommendations. Experience with Power BI, SQL, Salesforce or similar tools, strong PowerPoint skills, and independent project ownership are valued.
Excel, Power BI, SQL, Databricks, Salesforce, Jira
Candidates need a track record of delivering cross-functional business outcomes in operations, growth, transformation or consulting, and ideally experience in commercial real estate, valuation, professional services or software. They must be able to create structure from ambiguity, manage complex execution and partner with technology teams on automation and AI adoption.
Candidates need commercial real estate valuation experience across asset classes such as industrial, retail, apartment and office, plus working knowledge of USPAP. Strong judgement on market rent and valuation assumptions, and clear communication with clients and appraisers, are expected.
Altus Group needs candidates with business analysis skills, practical Salesforce knowledge covering objects, reports, dashboards, automation and access controls, and solution delivery experience. Strong communication and stakeholder collaboration skills are required, and a Salesforce Business Analyst or Administrator certification is an asset.
Candidates need HR operations experience in a complex organization, hands-on experience with Workday or a comparable HRIS, and strong data and governance discipline. They also need a builder mindset and the judgment to work with senior and cross-functional stakeholders.
Candidates need hands-on Salesforce development experience with Apex, Lightning Web Components, Flow and SOQL, plus integration experience with APIs. Familiarity with source control, CI/CD, release management and strong communication skills are also required.
Salesforce, Apex, Lightning Web Components, Salesforce Flow, SOQL, CI/CD pipelines
Altus Group needs candidates with commercial real estate valuation experience, strong judgment on market rent and pricing assumptions, and knowledge of USPAP. The role also requires mentoring analysts and clear communication with clients and stakeholders.
Candidates need a degree or college diploma in real estate, finance, economics or a related field, strong Excel skills, and clear written communication. Interest in commercial real estate is essential, and prior CRE experience or an internship is an asset.
Candidates need extensive experience running data engineering solutions in production, strong skills in Python, SQL and Spark, and practical Databricks experience. They should have created standards or platform capabilities adopted across teams, and ideally have worked with finance, credit or commercial real estate data.
Candidates need proven experience running production data pipelines, strong Python, SQL and Spark skills, and hands-on work with Databricks and related tools. Experience with orchestration tools such as Airflow or dbt, and finance or commercial real estate data, is an asset.
Candidates need a university degree in urban planning, real estate, business or a related field, and 0 to 2 years of commercial real estate experience. Brokerage experience is an asset, along with strong analytical, communication and Excel, Word and PowerPoint skills and a valid driver's licence.
Candidates need progressive experience building and deploying enterprise AI and machine learning systems, strong software engineering fundamentals, and hands-on knowledge of LLMs, RAG, embeddings and agentic systems. Staff, principal or technical lead experience and strong communication skills are strongly valued.
Machine learning, ML, Leadership, Coaching, Systems thinking, Communication skills