Data Professionals Riyadh

The following job opportunities are available in Riyadh, Saudi Arabia. The listed summaries include key responsibilities and qualifications for each role.

• AI Data Solutions Manager

  Lead AI and data initiatives that optimize business processes. Design data‑driven solutions, collaborate with various teams to deliver actionable insights, and uphold AI ethics and governance standards. Requires extensive experience in data analytics and AI with strong programming skills.

• Data Analyst – No Experience Required (Peroptyx)

  Map and verify local business information and route accuracy to enhance user experience. Flexible working hours, no prior experience required. Must possess strong research skills, local Saudi Arabian knowledge, and have resided in Saudi Arabia for at least five years.

• Data Analyst – No Experience Required (Peroptyx Al Fakhiriyah)

  Review mapping data for digital applications to ensure accurate navigation and business information. Offers flexible working hours. Ideal candidates possess strong research skills and local knowledge of Saudi Arabia.

• Data Analyst (Al Majed For Oud)

  Drive sales growth through data‑driven insights. Responsibilities include data collection, analysis, and reporting to support marketing and sales processes, while adhering to company policies. Prefer background in sales analysis, CRM familiarity, and strong analytical and presentation skills.

• Data & Governance Analyst / Technical Director (ابتكاريه فنتشر استوديو)

  Prepare and analyze reports for executive management, ensuring compliance with governance standards. Requires strong Excel skills, reporting experience, performance monitoring, and contribution to RFP documentation.

• Dev Ops Engineer (Jeraisy Computer & Comm. Services)

  Design CI/CD pipelines, manage cloud infrastructure, and collaborate with development teams. Requires expertise in software development, IT operations, cloud platforms, and containerization technologies.

• Data Analyst (Noon Academy)

  Transform education through data‑driven insights to improve student outcomes. Develop dashboards, conduct ad‑hoc analyses, and explore AI opportunities. Requires strong SQL, Tableau/Power BI, and Google Sheets skills.

• Senior AI Engineer (Incorta Inc)

  Develop generative AI solutions using Retrieval‑Augmented Generation and LLMs. Build predictive models, fine‑tune LLMs, and collaborate on data workflows to deliver impactful AI‑driven solutions.

• Senior Data Analyst – Finance (MRSOOL Inc)

  Support growth in Payments through data‑driven insights elop dashboards, analyze complex datasets, and ensure rigorous analytical practices in a fast‑paced startup environment.

• Senior Dev Ops Engineer (GIZA Systems)

  Lead Dev Ops practices, oversee tool deployment, enhance CI/CD, and develop deployment frameworks to improve platform reliability and scalability.

• Mid‑Level Dev Ops Engineer (Lean Technologies)

  Build and operate secure, scalable hybrid‑cloud platforms. Manage Kubernetes clusters, create CI/CD pipelines, automate infrastructure with Terraform, and enhance observability with Prometheus and Grafana.