Data Analyst in Zayed City, UAE

Workato

Zayed City

On-site

AED 9,000 - 11,000

Full time

14 days+
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Job summary

Workato in Zayed City, UAE is seeking a Data Analyst to join our team and drive data-driven decision making. The role focuses on setting up models and algorithms to analyze both structured and unstructured data and uncover meaningful insights.

Ideal candidates hold a degree in data science, mathematics, physics, or statistics with 5+ years of experience developing data models and predictive analytics and have strong experience with data mining, cleansing, processing and visualization.

Qualifications

  • 5+ years of experience in developing data models and predictive analytics.
  • Strong knowledge of data analysis tools and techniques.
  • Experience with mining, cleansing, processing and visualizing data.

Responsibilities

  • Set up models and algorithms for data analysis.
  • Leverage structured and unstructured data to uncover meaningful insights.

Skills

Data analysis
Data mining
Data cleansing
Data processing
Data visualization
Independent work

Education

Degree in data science / related field

Job description

Data Analyst in Zayed City, UAE
Company Overview

Zayed City is an innovative and rapidly growing consultancy firm specializing in data analysis.We provide big data analysis services to businesses in a wide range of industries. Our goal is to help our clients make better decisions and reduce costs associated with data analysis through our data-driven insights.

Job Position Overview

We are currently seeking a Data Analyst to join our team in Zayed City, offering a salary of 900. The Data Analyst will be responsible for setting up models and algorithms for data analysis, leveraging both structured and unstructured data sets to uncover meaningful insights.

Demands for the Candidate
  • Degree in data science, mathematics, physics, statistics or a related field, with 5+ years' experience in developing data models and predictive analytics.
  • Excellent knowledge in data analysis tools and techniques.
  • Proven experience in data mining, data cleansing, data processing and data visualization.
  • Ability to work independently and within a team environment
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