Senior Business Data Analyst (Anaplan, Real Estate)

Recrute Action•Toronto, ON

35d•Hybrid

About The Position

Drive data-driven decision-making within a global real estate investment environment by building automated reporting pipelines, advanced analytics, and executive dashboards. This role leverages tools like Anaplan, Python, SQL, and Power BI to transform complex datasets into actionable insights.

Requirements

Undergraduate degree required; MBA considered an asset.
4 years of experience in analytics, data science, quantitative research, or financial modeling.
Exposure to real estate or investment management environments.
Advanced proficiency in Anaplan; Model Builder certification is an asset.
Strong expertise in Microsoft Excel, PowerPoint, and Word, with advanced Excel skills preferred.
Proficiency in Python, SQL, and data modeling tools such as DAX and Power Query.
Experience building dashboards and reporting solutions using tools such as Power BI.
Strong quantitative modeling, statistical analysis, and financial modeling capabilities.
Experience integrating data across multiple systems and working with complex datasets.
Ability to translate complex analyses into clear, business-focused insights.
Strong organizational, project management, and prioritization skills.
Ability to work independently in a fast-paced environment while managing competing priorities.
Strong communication and stakeholder management skills, with the ability to collaborate across teams.

Responsibilities

Support reporting systems and data quality initiatives by contributing to the migration, testing, and enhancement of enterprise planning tools and automated data pipelines.
Develop and maintain automated data validation processes to improve accuracy and reduce manual intervention.
Deliver recurring management reporting and portfolio analytics, including key performance metrics such as leasing, occupancy, and lease terms.
Build dashboards and reporting solutions that provide clear, actionable insights for leadership.
Coordinate reporting timelines, track dependencies, and identify risks to ensure timely delivery.
Collaborate cross-functionally with multiple teams to align data, reporting, and analytics needs.
Contribute to ad hoc analyses, investor requests, and strategic business initiatives.
Maintain and enhance data models, metadata standards, and datasets across multiple platforms.
Support data governance practices and ensure consistency across systems and processes.
Assist in evaluating and improving technology applications and data infrastructure.
Support contract tracking, compliance reporting, and related analytical activities.