Director, Business Intelligence

The RMR Group LLC; Newton (MA); On-site; USD 209,000 - 229,000; Full time

Benefits offered by this job

Health, Dental, and Vision Insurance

401(k) Plan with Employer Match

Tuition Assistance

Job summary

The RMR Group LLC is looking for a Director of Business Intelligence to enhance performance across senior living and hotel portfolios. This role involves developing analytics strategies, analyzing operational metrics, and leading a high-performing BI team.

The ideal candidate will have 7-10 years of real estate analytics experience, a Bachelor’s degree, and proficiency in BI tools such as Power BI and SQL. The position offers a competitive salary and comprehensive benefits.

Qualifications

• 7–10 years of experience in real estate analytics, preferably in senior housing or hotels.
• Strong knowledge of financial and operational KPIs like NOI and RevPAR.
• Experience leading enterprise analytics initiatives.

Responsibilities

• Develop and execute analytics strategies to enhance portfolio performance.
• Analyze operational metrics to identify performance gaps across portfolios.
• Lead architecture of dashboards and reporting tools.

Skills

Real estate analytics

Data analysis

Financial modeling

Predictive modeling

Leadership

Education

Bachelor’s degree in Finance, Real Estate, Data Analytics

MBA (preferred)

Tools

Power BI

SQL

Snowflake

Job description

Job ID: 2026-3289

Location: US-MA-Newton

Overview

This role serves as a strategic partner to executive leadership, leveraging data and analytics to optimize performance across a diversified portfolio of senior living and hotel assets. The Director of Business Intelligence leads analytics, business intelligence, and data governance initiatives, partnering closely with Asset Management, IT, and Finance to drive portfolio value and operational excellence. The ideal candidate combines deep real estate and analytics expertise with a strong understanding of senior living and hotel operations.

Responsibilities

Strategic Analytics & Portfolio Performance

Develop and execute the analytics strategy to enhance portfolio performance across senior living and hotel assets.

• Partner with Asset Managers to identify value‑creation opportunities in occupancy, rate growth, and expense management.
• Support capital allocation, redevelopment, and disposition decisions.

Operational Analytics

• Analyze operational line items to identify performance gaps across portfolios.
• Provide Asset Managers with data‑driven leverage to challenge operator assumptions during P&L and budget reviews.
• Evaluate senior living metrics including occupancy, RevPOR, acuity, and labor costs.
• Analyze hotel KPIs including ADR, RevPAR, occupancy, and GOP margins.
• Deliver insights to optimize pricing, demand, and operational performance.

Investment & Asset Management Analytics

• Support financial modeling of portfolio‑wide capital allocation, including valuation of assets and developments with industry‑specific assumptions.
• Analyze same‑store performance, NOI, and portfolio returns.
• Partner with finance on portfolio forecasting and valuation analytics.
• Build predictive models to underwrite ROI on property renovations.

Business Intelligence & Reporting

• Lead architecture of dashboards and reporting tools, collaborating with the in‑house IT team to develop, build, and maintain data integrity.
• Standardize reporting across operators and property management partners.
• Support earnings, investor reporting, and Board materials.
• Drive adoption of self‑service analytics across the organization.

Leadership and Collaboration

• Collaborate with third‑party operators to improve performance and ensure alignment with REIT objectives.
• Lead and develop a high‑performing analytics and BI team.
• Manage external data vendors and analytics tools.

Qualifications

• Bachelor’s degree in Finance, Real Estate, Data Analytics, or related field (MBA preferred).
• 7–10 years of experience in real estate analytics, with a preference for exposure to senior housing, healthcare, or hotel real estate.
• Experience with BI tools, data platforms, and predictive modeling (Power BI, SQL, Snowflake) preferred.
• Proven leadership and ability to drive enterprise analytics initiatives.
• Strong knowledge of financial and operational KPIs (NOI, RevPAR, occupancy, etc.).

Preferred

• Experience in institutional real estate platforms.
• Experience working with third‑party operators.
• Exposure to predictive analytics, forecasting, or machine learning applications.
• Experience in the real estate or hospitality/senior living industry is highly desirable.

Total Rewards

• Health, Dental, and Vision Insurance
• Life & Disability Insurance
• Health Savings Account (HSA) & Flexible Spending Plans (FSA)
• 401(k) Plan with Employer Match
• Holidays, Vacation & Sick Time
• Parental Leave
• Tuition Assistance
• Matching Gift Program
• Optional voluntary employee‑paid benefits (Critical Illness, Accident Insurance, Identity Theft Protection, etc.)

The estimated base compensation range for this position is $209,000 to $229,000 per year, based on skills, qualifications, experience, internal equity, and market data.

Company Overview

The RMR Group (Nasdaq: RMR) is a leading U.S. alternative asset management company focused on commercial real estate and related businesses. With nearly 900 real estate professionals in more than 30 offices nationwide, the firm manages approximately $40 billion in assets. RMR’s vertical integration and deep expertise support buying, selling, financing, and operating CRE. The firm has been recognized for its workplace culture, energy leadership, and performance management.

Equal Opportunity Employer

The RMR Group is an equal opportunity employer. Qualified applications will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. For our EEO policy statement, please click here. For more information on your EEO rights under the law, please click here.