244 Data Analysts jobs in Saudi Arabia

Job Description

• Collect, clean, and transform structured and unstructured datasets from multiple sources (databases, APIs, data warehouses, and flat files) for analysis.
• Develop, maintain, and optimize SQL queries, stored procedures, and ETL pipelines to ensure reliable data flows.
• Perform statistical analysis, hypothesis testing, and predictive modeling to extract actionable insights and support decision-making.
• Create advanced dashboards and reports using tools such as Power BI, Tableau, or Looker, ensuring KPIs are tracked and visualized effectively.
• Collaborate with data engineers and business stakeholders to define data requirements and ensure alignment between technical outputs and business needs.
• Apply data mining, clustering, and regression techniques to detect patterns, trends, and anomalies across large datasets.
• Document methodologies, maintain reproducibility of analysis, and adhere to best practices for version control and code management (e.g., Git).

Job Requirements

• A degree in computer science, data science or any other relevant field. A master's is a plus
• 4 years of experience in relevant fields
• Data Engineering & Querying: Strong proficiency in SQL
• Visualization & Reporting: Advanced skills in BI tools (Power BI, Tableau, Looker, or equivalent) and ability to design performance-optimized dashboards.
• Data Wrangling: Ability to handle raw, messy data—cleaning, normalizing, feature engineering, and managing large datasets with performance considerations.
• Cloud & Analytics Tools: Familiarity with cloud platforms (GCP BigQuery, AWS Redshift, Azure Synapse) and distributed data systems (Spark, Hadoop) is a plus as well as hands-on experience on Dataiku is a plus.

We are looking for a talented, detail-oriented Data Analyst to join our team in Riyadh. The successful candidate will be responsible for collecting, organizing, and interpreting large amounts of data to draw meaningful insights and conclusions to inform business decisions.

The ideal candidate should have excellent problem-solving skills, the ability to think critically and analytically, and a good understanding of data management principles. Experience with data visualization tools such as Tableau or Power BI is required. Proficiency in coding languages such as SQL, Python, or R is highly desirable.

The Data Analyst will conduct research and analysis on large datasets, develop reports based on findings, identify trends and patterns, develop forecasting and predictive models, and recommend strategies based on their findings. Strong communication skills are essential to present results effectively to stakeholders.

This is a full-time position with a salary of 1100. We are open to considering foreign candidates for this role. If you meet the qualifications, please send us your CV today!

Job Overview

Join to apply for the Data Analyst role at JD.COM

• Build, maintain, and optimize data pipelines to support business decisions.
• Conduct advanced analyses on customer, sales, and operational data.
• Develop dynamic dashboards (PowerBI) to present key metrics.
• Collaborate with cross‑functional teams to translate insights into action.
• Identify opportunities for data quality improvement and automation.

• Education : Bachelor’s degree or above; majors in Statistics, Mathematics, Computer Science, Economics, Marketing, or related fields.
• Experience : 5‑7 years of data analyst experience; retail or large e‑commerce background preferred.
• Language : Excellent English (listening, speaking, reading, writing); Chinese communication preferred.
• Technical Skills :
  • Proficiency in SQL, complex queries, data extraction, and processing.
  • Database optimization experience.
  • Google Analytics: traffic and user behavior analysis.
  • PowerBI: independent report and dashboard creation.
  • Statistical modeling: regression, clustering, others.
• Qualities : Strong logical thinking, problem solving, adaptable to business and tool changes; good communication, collaboration, teamwork; data sensitivity, responsibility, stress resistance, timely completion.

JD.com (NASDAQ: JD, HKEX: 9618), also known as JINGDONG, is a leading supply‑chain‑based technology and service provider. It offers a cutting‑edge retail infrastructure and a “Retail as a Service” platform to partner brands and other sectors. JD.com is ranked 44th on the Fortune Global 500 list and is China’s largest retailer by revenue, serving over 600 million annual active customers.

JD.com operates in China, the UK, the Netherlands, France, Germany, Spain, Brazil, Hungary, Japan, South Korea, Australia, Thailand, Vietnam, Malaysia, Indonesia, Saudi Arabia, the UAE, the US, and many others, serving customers worldwide.

Data Analyst job in Riyadh Saudi Arabia


We are looking for an experienced Data Analyst to join our team in Riyadh. We offer a competitive salary of 1200. We are willing to consider immigrants for this role.

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting large amounts of data. You will also be required to develop reporting systems and create visualizations to help stakeholders gain insight into the data. Additionally, you will need to identify trends and correlations within the data and provide actionable insights based on your findings.

The ideal candidate will have strong problem-solving skills and be able to work within tight deadlines. Additionally, you should possess excellent communication skills and the ability to work both independently and as part of a team. Experience with data analysis tools such as Excel or SQL is preferred but not required as we are willing to hire someone with no previous experience in this field.

If you think that you have the necessary knowledge and skills for this position, please apply now!

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Data Analyst job in Riyadh Saudi Arabia


Position Overview
We are looking for a highly motivated Data Analyst to join our team in Riyadh. The Data Analyst will be responsible for working with data to determine trends, identify discrepancies, and perform analytics. This role requires a deep understanding of complex business processes and analytics that reflect the organization’s objectives.

Responsibilities
• Analyze data from various sources to uncover trends, correlations, and other insights
• Develop dashboards and reports to enable self-service business intelligence
• Create scripts, queries, and other tools to enable efficient data processing and analysis
• Utilize big data technologies such as Hadoop or Spark for complex queries/processing
• Develop algorithms and statistical models that generate actionable insights from large datasets
• Monitor performance indicators such as accuracy, reliability, timeliness of data
• Collaborate with stakeholders in developing solutions that address their needs


Qualifications & Requirements
• Bachelor's degree in Computer Science, Mathematics or related field. Master's degree is preferred
• Minimum 2+ years of experience as a Data Analyst or similar role
• Excellent analytical skills with the ability to collect, organize, analyze and disseminate large amounts of information quickly and accurately.
• Experience in developing dashboards using Tableau or Power BI is a plus
• Familiarity with SQL databases is essential
• Excellent problem-solving skills with an ability to think outside the box

Salary & Benefits: 1100 SAR/month + benefits package (as per company policy). We are open to considering foreign applicants for this role.

If you believe you have the qualifications we seek for this position please contact us at (email). We look forward to hearing from you!

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Key Responsibilities

• Collect, clean, and validate large sets of structured and unstructured data from multiple sources.
• Analyze data using statistical methods to identify patterns, correlations, and insights.
• Develop and maintain dashboards and reports using tools such as Excel .
• Collaborate with management and various departments to understand business objectives and translate them into data-driven solutions.
• Present analytical findings through clear visualizations and summaries to support decision-making.
• Monitor and evaluate key performance indicators (KPIs) and provide recommendations for improvement.
• Ensure data accuracy, integrity, and compliance with company policies and data governance standards.
• Support digital transformation initiatives by integrating analytics into business processes.

Proficient in data analysis tools and programming languages such as Excel , SQL , or R .

• Bachelor’s degree in Data Science , Statistics , Computer Science , Business Analytics , or a related field.
• Proven experience (2–4 years) as a Data Analyst or in a similar analytical role.
• Strong proficiency in data analysis tools and programming languages such as Excel , SQL , or R .
• Excellent analytical thinking and problem-solving skills.
• High attention to detail and accuracy in data handling.
• Strong communication skills and ability to present technical results to non-technical audiences.

Overview

We are looking for a Data Analyst to join our growing Data team. This role focuses on turning raw data into clear, accurate, and actionable insights that support decision-making across the company. You’ll work closely with senior analysts, product managers, engineers, and business stakeholders to help ensure data is reliable, well-structured, and easy to understand.

This is an excellent opportunity for someone early in their career to learn and grow in analytics while making a meaningful impact.

• Collect, clean, and organize data from production, warehouse, and external sources to ensure accuracy and reliability.
• Develop and maintain data collection systems, pipelines, and processes that optimize efficiency and quality.
• Perform exploratory data analysis (EDA) to identify patterns, trends, and opportunities in complex datasets.
• Use BI tools to build and maintain dashboards, reports, and visualizations that support business needs and decision-making.
• Interpret data and provide actionable insights to stakeholders through reports, dashboards, and presentations.
• Monitor data quality, validate results, and support initiatives for data integrity and normalization.
• Document data sources, processes, and definitions to improve knowledge-sharing and consistency across the team.
• Collaborate with cross-functional stakeholders to gather requirements and deliver data solutions aligned with business priorities.
• Support testing, troubleshooting, and improvements of reporting systems and pipelines.
• Train end-users on new reports, dashboards, and data tools to enhance adoption and effectiveness.
• Work with senior team members and management to define metrics, track performance, and prioritize business and information needs.
• Identify and recommend process improvements and opportunities for better data-driven decision-making.

• Lifting and Carrying: Ability to lift and carry up to 50 pounds.
• Mobility: Must be able to walk and climb to perform duties, including maneuvering within a refinery or plant environment and accessing elevated platforms via ladders and stairwells.
• Communication: Sufficient clarity of speech and hearing, or other communication capabilities, to communicate effectively.
• Focus and Multitasking: Ability to maintain focus and multitask effectively.
• Safety Equipment: Must be able to wear safety equipment as required by the safety department for personal protection, if/where needed in manufacturing environments.
• Personal Mobility and Reflexes: Sufficient personal mobility and physical reflexes, with or without reasonable accommodations, to perform office duties and travel to off-site locations when necessary.

About PIPECARE Group:

PIPECARE Group offers comprehensive In-Line Inspection Services to identify and size pipeline threats, Utilizing advanced technologies such as Magnetic Flux Leakage, Transverse Field Inspection, Ultrasound, and specialized tools, PIPECARE ensures precise detection and assessment of various pipeline anomalies.

What we do:

In-Line Inspection Services

PIPECARE provides In-Line Inspection Services to locate, identify, and size threats, supporting integrity management requirements.

Check out our AI Technology and other cutting-edge technologies by clicking the following YouTube Links:

Magnetic Flux Leakage (MFL): Detects and sizes general corrosion and metal loss anomalies, especially circumferentially oriented.

Transverse Field Inspection (TFI): Detects and sizes general corrosion and metal loss anomalies, primarily axially oriented.

Ultrasound (UT): Detects and sizes general and other metal loss anomalies with high depth sizing accuracy.

Ultrasonic Crack Detection: Detects and sizes cracks and colonies of cracks.

Caliper (Geometry): Detects and sizes deviations in the ideal circular shape of a pipeline (dents, ovalities, wrinkles, etc.).

Specialized Tools and Technologies

Combo Tools: Use multiple measurement systems in various combinations.

Specialized Tubing Technologies: Designed for Furnace and Downhole Operations.

Equal Opportunity Employer: We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.