Qureos Mentor

Ventas, Inc.

Ventas is a leading S&P 500 company with approximately 1,400 properties focused on serving the large and growing aging population. As the world’s second-largest owner of senior housing, Ventas creates environments where seniors thrive and investments flourish. Their portfolio includes senior housing, healthcare properties, and research facilities, all aimed at helping people live longer, healthier, and happier lives. The company emphasizes operational excellence and deep market expertise to deliver superior value.

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 Job Description
 
 
 
 Ventas is a leading S&amp;P 500 company enabling exceptional environments that benefit a large and growing aging population. With an enterprise value exceeding $50 billion and a portfolio of more than 1,400 properties across North America and the United Kingdom, Ventas is a preeminent participant in the longevity economy. Its largest business is private-pay senior housing, which includes over 850 communities providing valuable care and services to more than 90,000 residents. The Ventas portfolio also includes outpatient medical buildings, research centers and healthcare facilities that attract strong institutional demand from the largest health systems, biomedical companies and universities and other research institutions in the world. Backed by strong financial performance and a collaborative culture, Ventas has the capital, capabilities and relationships to deliver superior value. The experienced Ventas team shares a commitment to each other and to the Company&rsquo;s mission of helping people live longer, healthier, happier lives.
 
 
 The Data Science team partners across Ventas to translate complex data into actionable insights that support investment, operational, and strategic decisions. Through advanced analytics and predictive modeling, the team helps uncover performance drivers, anticipate future outcomes, and enable stronger, data‑driven decision‑making across our Senior Housing portfolio.
 
 
 
 About The Role
 
 
 
 The Analyst, Data Science role offers a unique opportunity at an S&amp;P 500 company to apply analytical thinking and technical skills to drive core business outcomes for Ventas&rsquo; Senior Housing portfolio, with direct partnerships with finance, operations, portfolio management, and enterprise strategy. Key responsibilities include:
 
 
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 Explore, engineer, and derive analytical features from large, complex datasets to surface meaningful signals and drivers of business performance
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 Perform diagnostic and exploratory analyses to identify correlations, patterns, and relationships across financial, operational, and portfolio‑level data
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 Develop analytical frameworks to understand key business levers and quantify their impact on outcomes such as revenue, occupancy, rate, and mix
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 Build and refine predictive models and scenario analyses to anticipate future performance and support proactive decision‑making
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 Translate ambiguous business questions into well‑structured analytical problems and deliver clear, actionable insights to stakeholders
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 Partner closely with teams across finance, operations, portfolio management, and strategy to align analytics with real‑world business decisions
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 Communicate findings through compelling data visualizations, dashboards, and executive‑ready narratives that drive action
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 Continuously evaluate data quality and model performance, recommending improvements to strengthen analytical rigor and reliability
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 Contribute to the evolution of analytics best practices and serve as a thought partner to colleagues on analytical approaches and interpretation
 
 
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 Qualifications
 
 
 
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 Bachelor&rsquo;s degree in Data Science, Computer Science, Mathematics, Engineering, Statistics, or a related field. Master&rsquo;s degree preferred.
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 2+ years of experience in a related analytical field (data analytics, data science, consulting, or similar), with demonstrated experience solving complex, ambiguous problems using data.
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 Must be located in the New York City, NY surrounding area willing to relocate for the duration of employment.
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 Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in-office operations.
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 Proficiency in SQL and Python required.
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 Experience translating ambiguous business questions to analytical problems
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 Strong analytical, problem‑solving, and communication skills with the ability to explain complex information clearly.
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 Ability to manage multiple priorities in a fast‑paced, collaborative, and lean environment.
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 Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future.
 
 
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 The estimated base salary range for this position is $80,000 &ndash; $105,000 per year. This range reflects a good-faith estimate of the base salary Ventas reasonably expects to pay at the time of posting. Actual base pay will be determined based on work location, skills, qualifications, relevant experience, and business needs.
 
 
 
 
 In addition to base salary, this role is eligible for discretionary incentive compensation and a comprehensive benefits package, which includes medical, dental, vision, retirement savings, paid time off, and other wellness benefits under applicable plan terms.
 
 
 
 Ventas, Inc. offers a competitive compensation and benefits package to the successful candidate.
 
 
 Ventas, Inc. is an Equal Opportunity Employer.
 
 
 Ventas, Inc. does not accept unsolicited resumes from staffing agencies, search firms or any third parties.
 
 
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Analyst, Data Science

Join Ventas, Inc. and explore 1   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Ventas, Inc.

About Company

Analyst, Data Science