Analyst Data Science
4 weeks ago
Job Description:
The Analyst, Data Science will have the unique opportunity to blend high level strategic thinking with intensive data analytics to drive insights and recommendations for Ventas' Senior Housing portfolio (800+ properties, $1B+ in Net Operating Income). The successful candidate will work cross-functionally with portfolio management, investments, and operating partners to identify pockets of opportunity within and outside of Ventas' current portfolio. If you are analytical, detail-oriented, curious, and a fast learner, we look forward to meeting you.
Responsibilities:
Develop controls and workflows to ensure quality and accuracy of data
Design, develop, and enhance proprietary models to improve competitive and operational intelligence
Utilize our proprietary data sets and predictive analytics to improve our ability to forecast KPIs such as rate, occupancy, mix, etc.
Engage with internal and external stakeholders to provide strategic insights on growth and investment opportunities (acquisitions, dispositions, redevelopment, etc.)
Act as a resource for colleagues with less experience ; m ay lead small teams or small projects
Requirements:
Bachelor's degree in Analytics, Engineering, Statistics or similar field
2+ years' experience in data science, data engineering, or technology consulting
Ability to learn quickly and solve complex problems within a dynamic environment
Proficiency in Python and data modeling required; DAX, Airflow/Dagster a plus
Strong oral, written, and interpersonal communication skills; must be capable of explaining complex information to others in a straightforward manner
Ability to manage deadlines, multiple tasks and relationships in a fast-paced, team- oriented and lean environment
Knowledge and interest in real estate and health care are a plus
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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