BI & Analytics Manager

Accountabilities • Leadership and team management: Lead, mentor, and support BI analysts and account team resources while establishing best practices, standardized workflows, and repeatable processes for analytics development and delivery.

• Client and stakeholder management: Serve as a trusted analytics advisor to clients and internal stakeholders, managing relationships, setting expectations, prioritizing requests, and ensuring solutions align with business objectives and long-term value.

• BI platform and product development: Lead initiatives that enhance business intelligence capabilities across client portfolios, collaborating with platform teams and developers on dashboard design, prototyping, proofs of concept, semantic models, and product enhancements.

• Analytics strategy and roadmap ownership: Develop and maintain analytics roadmaps covering project scope, timelines, resource requirements, and investment priorities while balancing immediate reporting needs with scalability and long-term platform goals.

• Data governance and integration: Oversee data mapping, data assessments, data modeling, and integration activities to ensure reliable, consistent, and well-governed information across analytics solutions.

• Reporting and performance optimization: Provide guidance on dashboard development, Power BI model design, performance optimization, metric standardization, certified reporting, and self-service analytics capabilities.

• Data workflow and backlog management: Manage reporting inventories, data dictionaries, request intake processes, development backlogs, and delivery workflows for client-specific and platform-level analytics solutions.

• Advanced analytics and automation: Leverage modern analytics technologies and AI-enabled tools to transform data, automate workflows, improve data quality, and develop innovative analytical solutions.

• Business intelligence and market insights: Analyze client portfolios to identify emerging trends, operational risks, benchmarking opportunities, and areas where deeper analytical insights can generate business value.

• Cross-functional collaboration: Partner with client technology teams, development teams, and platform specialists to align analytics solutions with enterprise data environments, including modern platforms such as Databricks.

• Communication and continuous improvement: Communicate project progress, risks, and outcomes clearly to technical and non-technical audiences while maintaining comprehensive documentation and continuously improving analytics processes.

Requirements

• Education: Bachelor’s degree in Business, Engineering, Technology, or a related discipline.

• Leadership experience: Demonstrated experience leading or managing business intelligence, analytics, or data teams, with the ability to mentor professionals and establish effective delivery practices.

• Client relationship management: Strong experience managing client and stakeholder relationships, balancing competing priorities, and translating business needs into practical analytical solutions.

• Business intelligence expertise: Hands-on experience with BI platforms, data visualization tools, dashboard development, and analytics solution design.

• Power BI proficiency: Strong knowledge of Power BI, including data modeling, semantic layer design, dashboard performance optimization, and standardized metrics, is highly desirable.

• SQL and data analysis: Proficiency in SQL for data analysis, data validation, and quality assurance is an asset.

• Data preparation and integration: Experience with ETL and data preparation tools such as Alteryx, as well as data mapping, modeling, and integration processes.

• Modern data platforms: Familiarity with Databricks or similar enterprise data platforms and experience working with technology or development teams to deliver scalable solutions.

• Product and platform experience: Previous involvement in BI product development, analytics platform initiatives, or the evolution of self-service reporting capabilities is an advantage.

• Industry knowledge: Exposure to commercial real estate, client portfolios, or portfolio-level operational data is considered an asset.

• Analytical and problem-solving skills: Strong critical thinking, analytical curiosity, sound judgment, and the ability to identify patterns, evaluate risks, and develop effective solutions.

• Communication skills: Excellent verbal and written communication, with the ability to explain complex technical concepts and analytical findings to non-technical audiences.

• Adaptability and collaboration: Confidence operating in ambiguous, fast-paced, and client-facing environments, with strong relationship-building skills and the ability to collaborate across multidisciplinary teams.

• Strategic mindset: Ability to balance immediate business requirements with long-term platform scalability, data governance, and continuous improvement.

Benefits

• Competitive annual salary: CAD $102,000–$120,000, depending on geographic location, market conditions, experience, qualifications, and other applicable compensation factors.

• Fully remote work: Work from home in Canada, with flexibility to use office or shared workspace facilities when needed.

• Full-time opportunity: Join a strategic business intelligence function focused on data analytics, technology-enabled solutions, and measurable client outcomes.

• Leadership and career development: Opportunity to lead analytics initiatives, mentor team members, and influence the evolution of BI platforms and data capabilities.

• Technology-driven environment: Work with modern analytics tools and platforms, including Power BI, SQL, and Databricks.

• Strategic business impact: Help improve operational efficiency, data quality, reporting standards, and client decision-making through scalable analytics solutions.

• Cross-functional collaboration: Partner with clients, account teams, analysts, developers, and technology specialists on diverse business challenges.

• Inclusive workplace: Join an organization committed to employment equity, diversity, inclusion, and an accessible recruitment process, with accommodations available upon request.

• Professional growth: Develop your expertise in business intelligence, data governance, advanced analytics, automation, and analytics product strategy. How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1