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full-time·Amherst

Data Analyst

Costa-RicaApproximately $70,000 - $90,000 per year11 skills

Skills & Stack

AWSAzureCloudGoogle Cloud PlatformHadoopPythonPyTorchSparkSQLTableauTensorflow

About the Role

Join Amherst as a Data Analyst to leverage AI and ML for actionable insights and solutions. This role is ideal for someone who is passionate about data and its potential to drive impactful change in the real estate industry. As a Data Analyst, you will work closely with cross-functional teams to analyze complex data sets, develop predictive models, and create visualizations that inform strategic decision-making. You will have the opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions that disrupt the real estate ecosystem.

About Amherst

Amherst is a vertically integrated real estate investment, development, and operating platform that aims to reimagine some of the most fragmented and inefficient pockets of U.S. real estate, including single-family residential, mortgage-backed securities, and commercial real estate. Fueled by proprietary technology, deep-rooted expertise and an agile, collaborative approach, Amherst is transforming a slow-to-evolve industry by creating innovative solutions that disrupt the real estate ecosystem from end-to-end and unlocks long-term value for the investors, residents and communities it serves.

What You'll Do

6 items
  • 1Analyze large and complex data sets to identify trends and patterns
  • 2Develop predictive models using machine learning algorithms
  • 3Create data visualizations to communicate insights to stakeholders
  • 4Collaborate with cross-functional teams to drive data-driven decision-making
  • 5Stay up-to-date with the latest advancements in data analytics and machine learning
  • 6Contribute to the development of data-driven strategies and solutions

What We're Looking For

  • Bachelors degree in a relevant field (e.g., Computer Science, Mathematics, Statistics)
  • Experience with data analysis and machine learning
  • Proficiency in programming languages such as Python
  • Knowledge of data visualization tools like Tableau
  • Understanding of cloud platforms (AWS, Azure, Google Cloud Platform)
  • Strong analytical and problem-solving skills
  • Ability to work collaboratively in a team environment
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