
Data Analyst
Sotheby’s International Realty is looking for an experienced Data Analyst to join our innovative team. We are seeking a passionate, detail-oriented individual who is eager to make an impact in our data-driven organization. The ideal candidate will have strong analytical and problem-solving skills, an eye for detail and the ability to communicate effectively. To be successful in this role, you should have a Bachelor’s degree in Statistics, Mathematics, Computer Science or a related field, as well as experience in big data, machine learning and predictive analytics. You should also possess excellent organizational skills, the ability to work independently and be comfortable working with large datasets. If this sounds like you, we’d love to hear from you!
Excellent Written And Verbal Communication Skills
Or Related Field
Bachelor's Degree In Computer Science
Statistics
Mathematics
At Least Years Of Professional Experience In Data Analysis
Strong Knowledge Of Data Analysis Techniques And Methodologies
Proficiency With Relational Databases
Including Sql And Data Warehousing
Ability To Interpret Data And Develop Meaningful Insights
Demonstrated Ability To Work In A Team-Oriented Environment
Sql
Python
Business Intelligence
Data Analysis
Forecasting
Excel
Big Data
Machine Learning
Data warehousing
Automation
Data Mining
Dashboarding
Visualization
Modeling
Statistics
Communication
Leadership
Time management
Interpersonal Skills
creativity
Critical thinking
Teamwork
Adaptability
Problem-Solving
Decision-making
According to JobzMall, the average salary range for a Data Analyst in Beverly Hills, CA, USA is $76,000 to $103,000 per year. This range is based on the salaries reported by employers and employees in the area. The range may vary depending on factors such as experience, education, and the company.
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Sotheby’s International Realty is a luxury real estate brand founded in 1976 by Sotheby's fine art dealers. Sotheby's International Realty operates as a franchise focusing on brokering and marketing of residential real estate.

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