Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead AI and data initiatives to optimise business processes and deliver actionable insights.
- Company: Join a forward-thinking company in Riyadh, Saudi Arabia, focused on innovation.
- Benefits: Flexible working hours, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by driving data-driven solutions in a dynamic environment.
- Qualifications: Extensive experience in data analytics and AI with strong programming skills required.
- Other info: Ideal for those passionate about technology and eager to shape the future.
The predicted salary is between 36000 - 60000 £ per year.
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: 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.
- DevOps 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 at Tamara. Develop dashboards, analyze complex datasets, and ensure rigorous analytical practices in a fast-paced startup environment.
- Senior DevOps Engineer (GIZA Systems): Lead DevOps practices, oversee tool deployment, enhance CI/CD, and develop deployment frameworks to improve platform reliability and scalability.
- Mid-Level DevOps 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.
Data Analytics & AI Solutions Lead in Tipton employer: CARE
Contact Detail:
CARE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analytics & AI Solutions Lead in Tipton
✨Tip Number 1
Network like a pro! Reach out to people in your field on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your skills. We recommend doing mock interviews with friends or using online platforms to get comfortable. Remember, confidence is key!
✨Tip Number 3
Tailor your approach for each role. Research the company and its culture, and align your experiences with their values. We want you to stand out, so make sure they see why you’re the perfect fit!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Analytics & AI Solutions Lead in Tipton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analytics & AI Solutions Lead role. Highlight relevant experience and skills that match the job description, especially in data analytics and AI. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data-driven solutions and how your background aligns with our mission at StudySmarter. Keep it engaging and personal – we love a good story!
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of projects or experiences where you've successfully used data analytics or AI to drive results. We’re looking for real-world applications that show us what you can do.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter family!
How to prepare for a job interview at CARE
✨Know Your Data Inside Out
For a role like Data Analytics & AI Solutions Lead, it's crucial to have a solid grasp of data analytics concepts and AI technologies. Brush up on your programming skills and be ready to discuss specific projects where you've successfully implemented data-driven solutions.
✨Showcase Collaboration Skills
This position requires working with various teams, so be prepared to share examples of how you've collaborated in the past. Highlight any cross-functional projects you've been involved in and how you contributed to delivering actionable insights.
✨Understand AI Ethics and Governance
Since the role involves upholding AI ethics and governance standards, make sure you’re familiar with current best practices in this area. Be ready to discuss how you would ensure compliance and ethical considerations in your data initiatives.
✨Prepare for Technical Questions
Expect technical questions related to data analytics tools and programming languages. Review common frameworks and tools relevant to the job, such as SQL, Python, or R, and be prepared to solve problems on the spot or explain your thought process.
