Valuation Solutions | Housing Data & Analytics
Staff Appraiser
Location
Canada
Posted
7 hours ago
Salary
$54.7K - $82.1K / year
Seniority
Lead
Job Description
Staff Appraiser
RPS Real Property Solutions
• An RPS staff appraiser’s primary responsibility is to conduct thorough property evaluations by providing detailed, unbiased assessments of property value based on comprehensive analysis of market trends, property conditions, and comparable sales. • In addition to conducting appraisals, the staff appraiser ensures adherence to industry regulations and client requirements, working closely with other teams to ensure timely report delivery and resolution of any issues related to the appraisal process. This role requires strong analytical skills, attention to detail, and the ability to communicate effectively with clients, appraisers, and internal teams to ensure a seamless process from order to completion.
Job Requirements
- Minimum of 3 – 5 years of appraisal experience.
- Customer Obsessed – understand our appraisers and clients, anticipate and strive to exceed the customers’ expectations
- Interpersonal Skills – have the ability to develop and maintain positive relationships and facilitate constructive interactions
- Active listening skills – keen ability to listen attentively, comprehend the full message being communicated, respond thoughtfully, and retain key information.
- Team Player - collaborate across the Success Teams
- Critical thinker – determine client needs and the best course of action and think differently to creatively resolve challenges
- Technology - knowledge of Microsoft Office suite (primarily Word, Outlook, and Excel)
Benefits
- RRSP, health & wellness subsidy
- Vacation days, personal days
- Professional Membership and insurance expense coverage
- Mileage expense coverage
- Bonus eligibility
Related Guides
Related Categories
Related Job Pages
More General Jobs
Senior Data Modeler, Snowflake
Fusion ConsultingShaping the Future of Life Science Consulting Worldwide
• Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability. • Translate conceptual and logical models into Snowflake-ready schemas, tables, and views. • Collaborate with data engineers to refine ETL/ELT processes and data integration patterns. • Align models and metadata with governance standards and tools, including Collibra. • Ensure all modeling and transformation logic is well-documented for traceability and compliance. • Support performance tuning and optimization of data pipelines. • Work in a distributed, global environment with both technical and business stakeholders.
• Design and develop scalable and efficient data models to support our data management initiatives • Collaborate with data architects, engineers, and business stakeholders to understand data requirements and translate them into optimal data structures • Ensure data models align with organizational data governance policies and data catalog standards • Analyze existing systems and define data migration strategies to maintain data integrity and consistency • Maintain comprehensive documentation of data models, definitions, relationships, and metadata • Optimize data models for performance and scalability within our data warehouse environment • Participate in data quality assessments and contribute to establishing best practices for data management • Provide expertise in resolving data-related issues and recommend improvements • Work closely with cross-functional teams to ensure data models meet business objectives and compliance requirements
Senior Data Modeler, Snowflake
Fusion ConsultingShaping the Future of Life Science Consulting Worldwide
• Design and implement physical data models in Snowflake, focusing on scalability, performance, and maintainability. • Translate conceptual and logical models into Snowflake-ready schemas, tables, and views. • Collaborate with data engineers to refine ETL/ELT processes and data integration patterns. • Align models and metadata with governance standards and tools, including Collibra. • Ensure all modeling and transformation logic is well-documented for traceability and compliance. • Support performance tuning and optimization of data pipelines. • Work in a distributed, global environment with both technical and business stakeholders.
• Design and develop scalable and efficient data models to support our data management initiatives • Collaborate with data architects, engineers, and business stakeholders to understand data requirements and translate them into optimal data structures • Ensure data models align with organizational data governance policies and data catalog standards • Analyze existing systems and define data migration strategies to maintain data integrity and consistency • Maintain comprehensive documentation of data models, definitions, relationships, and metadata • Optimize data models for performance and scalability within our data warehouse environment • Participate in data quality assessments and contribute to establishing best practices for data management • Provide expertise in resolving data-related issues and recommend improvements • Work closely with cross-functional teams to ensure data models meet business objectives and compliance requirements
