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Data Analystics Intern

Job ID : 37271

Job Title : Data Analystics Intern

Location : Houston, TX

Comapny Name : Soro Technologies

Job Type : Full-Time, Part-Time, Contract, Training

Industry : Information Technology

Salary :  $106600 - $107700  per year

Work Authorization : ["OPT","CPT","Entry Level","F1","H4","L1","H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","All EAD","US Citizen"]

No. of Positions : I have ongoing need to fill this role

Posted on : 07-31-2024

Required Skills : Data visualization, Presentation skills, Machine learning.

Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance

Job Description :

Responsiblties;

  • Data Collection and Analysis: Assist in gathering, organizing, and analyzing data related to commercial real estate properties, market trends, and investment opportunities.
  • Market Research: Conduct market research to identify trends, opportunities, and risks in the commercial real estate sector.
  • Report Generation: Create and maintain comprehensive reports, dashboards, and presentations to support investment decisions and strategic planning.
  • Data Management: Ensure the accuracy, consistency, and integrity of data by performing regular data validation and cleaning tasks.
  • Collaborative Projects: Work closely with cross-functional teams, including investment, finance, and asset management, to support various research projects and data-driven initiatives.
  • Technology Utilization: Leverage advanced data analytics tools and software to extract insights and support data-driven decision-making processes.

Qualification:

  • Currently pursuing a degree in Data Science, Statistics, Economics, Finance, Real Estate, or a related field.
  • Extremely efficient with Microsoft 365 including Excel.
  • Proficiency in data analysis tools such as Excel, SQL, and familiarity with data visualization tools Knowledge of programming languages is a plus. Full understanding of how to import/export from subsystems.

Key Skills:

  • Structured Query Language.
  • Microsoft Excel.
  • Critical thinking.
  • R or Python statistical programming.
  • Data visualization.
  • Presentation skills.
  • Machine learning.

Company Details :

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