Manager, Data Analytics

Job :  |

Location:

US-FL-Orlando

* This role can be located in our Orlando, FL office, and requires four days per week onsite.*

The RMR Group is seeking an experienced and forward-thinking Manager of Data Analytics to lead and grow our Data Analytics team within the Enterprise Applications department. This is a player/coach role that combines hands‑on technical contribution with team leadership – the Manager will both guide the strategic direction of data analytics and remain an active contributor to complex reporting and analytics initiatives.

The ideal candidate brings deep expertise in Microsoft's BI stack – Power‑BI, SQL Server and SSAS Tabular models – and genuine excitement about how AI is reshaping analytics. RMR is committed to being an early adopter of AI in commercial real estate. This leader will help RMR's analytics function move from traditional reporting to AI‑augmented, self‑service analytics that empower people across the business to make smarter decisions, faster.

The Manager will collaborate closely with IT leadership, business stakeholders and commercial real estate experts to deliver analytics solutions that drive value across RMR's approximately $40€ billion in assets under management.

Team Leadership & Management

• Directly manage and mentor a team of Data Analysts, fostering a culture of curiosity, technical excellence, and continuous improvement.
• Define team goals, set performance expectations, and conduct regular performance evaluations and career development conversations.
• Champion Agile delivery practices within the analytics team, facilitating sprint planning, retrospectives, and backlog prioritization.
• Serve as an escalation point and technical advisor for complex data issues, ensuring timely resolution and knowledge sharing across the team.

Analytics Strategy & Roadmap

• Partner with the Senior Director of Enterprise Applications to shape and execute the enterprise data analytics strategy, aligning reporting capabilities with business priorities.
• Own the analytics roadmap: prioritize investments in tools, platforms, and processes that maximize the team's impact across the business.
• Drive adoption of self‑service analytics capabilities, enabling business users to access trusted data independently while reducing ad‑hoc reporting burden on the analytics team.
• Partner with the Data & AI Platforms team on pipelines and infrastructure, ensuring the analytics stack is scalable, well‑governed and AI‑ready.

Hands‑On Technical Contribution

• Design and develop sophisticated Power BI reports, dashboards, and data models that deliver actionable insights to senior leadership and business stakeholders.
• Architect and optimize SSAS Tabular models (data cubes) to support enterprise‑wide analytical needs, ensuring performance, maintainability, and semantic consistency.
• Write and review complex SQL queries, stored procedures and data transformation logic against Snowflake, SQL Server and Azure data platforms.
• Lead technical design reviews and peer code reviews for analytics deliverables, ensuring quality, documentation and adherence to team standards.
• Collaborate with application development teams to ensure optimal data structures for analytics consumption across the Microsoft BI stack (SSAS, SSIS, SSRS, Power Query).

Stakeholder Engagement & Communication

• Serve as a trusted analytics partner to business leaders, translating complex data into clear narratives and actionable recommendations.
• Present data findings, roadmap updates, and strategic recommendations to senior leadership and cross‑functional teams.
• Evangelize effective data management practices and promote a data‑driven culture throughout the organization.
• Build strong relationships with business units to deeply understand their data needs and proactively surface analytical opportunities.

AI‑Forward Analytics Innovation

• Lead the team's evolution toward AI‑augmented analytics – exploring and implementing capabilities such as natural language querying, AI‑generated insights, automated anomaly detection and predictive reporting across the Power BI and Snowflake ecosystem.
• Evaluate and pilot AI tooling relevant to analytics –…