Data Analyst - Riyadh: Turn Data into Strategic Insights

Work in USA; Riyadh; On-site; SAR 14,000 - 19,000; Full time

Benefits offered by this job

Health insurance

Transportation allowance

Job summary

Data Analyst vacancy in Riyadh Saudi Arabia. We are seeking an experienced Data Analyst to join a highly reputable organization based in Riyadh.

The ideal candidate should be able to analyze complex data sets, develop and apply data models, and generate meaningful insights that inform organizational decision-making. Responsibilities include reviewing data from various sources, developing data models, using SPSS or SAS, and presenting findings to stakeholders.

Qualifications

• Bachelor’s degree in computer science, mathematics, statistics or a related field.
• Proficiency in using advanced statistical software such as SPSS or SAS.
• Excellent problem-solving skills and a keen eye for detail.
• Knowledge of database management systems (e.g., SQL) is desirable but not necessary.

Responsibilities

• Reviewing data from various sources to identify patterns and trends
• Developing data models to identify correlations within the data
• Utilizing advanced statistics software such as SPSS or SAS to analyze large datasets
• Developing reports that clearly explain the results of the analysis
• Presenting findings in an understandable manner to key stakeholders
• Making recommendations based on analysis results
• Maintaining databases of collected data
• Performing additional tasks related to data analysis as needed.

Skills

Problem solving

Attention to detail

Communication skills

Education

Bachelor’s degree in computer science, mathematics, statistics or a related field

Tools

SPSS

SAS

SQL

Job description

Data Analyst vacancy in Riyadh Saudi Arabia. We are seeking an experienced Data Analyst to join a highly reputable organization based in Riyadh.

The ideal candidate should be able to analyze complex data sets, develop and apply data models, and generate meaningful insights that inform organizational decision-making. Responsibilities include reviewing data from various sources, developing data models, using SPSS or SAS, and presenting findings to stakeholders.