Senior Business Data Analyst (Anaplan, Real Estate)
Recrute Action View all jobs
- Toronto, ON
- $40.00-46.00 per hour
- Permanent
- Full-time
- Salaried: $40-46 per hour.
- Incorporated Business Rate: $47-53 per hour.
- 12-month contract with the potential for permanent employment.
- Full-time position: 37.50 hours per week.
- Remote on Monday and Friday.
- On-site Tuesday to Thursday.
- 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.
- 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.