Data Analyst: Insights and Predictive Analytics in Riyadh

PPOAR

Riyadh

On-site

SAR 12,000 - 15,000

Full time

14 days+

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Job summary

PPOAR is seeking a Data Analyst to join our team in Riyadh. You will analyze data, develop insights, and help improve operations across the organization.

The role involves applying statistical methods, creating reports and dashboards, and collaborating with cross-functional teams. A Bachelor's degree in CS/Math or related field is required, with basic SQL and Python skills and the ability to work independently in a fast-paced environment.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics or related field.
  • Basic understanding of databases (SQL) and programming languages (Python).
  • Ability to work independently with minimal supervision.
  • Strong problem-solving and analytical skills.

Responsibilities

  • Analyze and interpret data to identify trends, correlations, and patterns.
  • Develop insights and actionable recommendations based on data analysis.
  • Prepare high-quality reports, graphs and charts that explain the results of the data analysis.
  • Utilize statistical techniques such as linear regression, hypothesis testing, time series analysis, etc. to develop predictive models.
  • Monitor industry trends and research best practices in data analytics.
  • Evaluate new technologies for potential application in the organization’s operations.
  • Perform any other duties as assigned by management.

Skills

Data analysis
Problem solving
Independent work

Education

Bachelor's degree in CS/Math or related field

Tools

SQL
Python

Job description

PPOAR is seeking a Data Analyst to join our team in Riyadh. You will analyze data, develop insights, and help improve operations across the organization.

The role involves applying statistical methods, creating reports and dashboards, and collaborating with cross-functional teams. A Bachelor's degree in CS/Math or related field is required, with basic SQL and Python skills and the ability to work independently in a fast-paced environment.

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