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Data Business Analyst & Adoption Lead

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What you’ll work on

Full posting
  • Design, deploy and operate AI platforms for reliability, scalability and security

  • Build and maintain tooling and pipelines for model training, evaluation, deployment and monitoring

  • Automate platform services with templates, CI/CD and infrastructure as code

  • Industrialize AI use cases with data scientists, data engineers and infrastructure teams

  • Take part in incident analysis and continuous improvement of the AI platform

From the employer’s posting
You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
You help automate and standardize platform services (templates, CI/CD, infrastructure as code)
You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
You participate in incident analysis and continuous improvement of the AI platform
Education & alternatives
Experience and education You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor’s or Master’s degree (or equivalent) in computer science, engineering or a related field. Your hard skills
Apply at Orange Business

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Actively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.

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Live
First seen by us
Nov 5, 2026today
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1

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How this job compares

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Orange Business is hiring

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See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • AWS
  • Azure
  • Docker
  • GCP
  • Kubernetes
  • Terraform
Where the posting names them
- Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools). - Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area. - Understanding of security, reliability and performance considerations for production platforms.
Your hard skills - Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI. - Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
- Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI. - Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts. - Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
- Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts. - Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools). - Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.

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Complete your application on careers-orange.icims.com. The employer’s form will show what is required.

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Demand for Analyst roles

New Analyst postings at the employers we follow are up 19% over the last 5 weeks compared with the 5 before.

Weekly new Analyst postings at the same employers, from the week of August 17 to the week of October 26. The fewest in a week was 965, the most 1,388, and the latest week had 1,365.
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About the role

We file this job under Analyst, by the work the posting describes.

Analysts answer business questions with data. They pull numbers with SQL, build reports and dashboards, and explain what changed and why to the people making decisions.

Most postings ask for SQL, spreadsheets, a dashboard tool such as Tableau or Power BI, and clear writing.

Unlike a data scientist, an analyst mostly explains what happened rather than building models that predict what will.

Job description

View original posting ↗

Publication date : Aug 18, 2026, 12:00AM

Join us at Orange Business!
We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.

Catchline

If ‘AI platforms at scale’ sounds like the right place to grow your skills, we should definitely talk.

Your day-to-day missions

  • You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments.
  • You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms.
  • You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
  • You help automate and standardize platform services (templates, CI/CD, infrastructure as code) to accelerate delivery while keeping quality high.
  • You participate in incident analysis and continuous improvement of the AI platform, contributing to a strong reliability and performance culture.

Occasional missions and example projects

  • You may contribute to the rollout of new AI platform features (for example, GPU-based training environments, feature stores or model registries).
  • You can be involved in migration projects to new cloud services or new AI frameworks, in collaboration with architecture and security teams.
  • You may participate in internal communities of practice, tech talks or proof-of-concept projects around emerging AI technologies.

Skills you will develop

This position offers you the opportunity to deepen your expertise in AI platform engineering, from build to run. You will strengthen your skills in cloud environments, containerization, MLOps and observability, while gaining experience on real-life, large-scale AI use cases. You will also develop your ability to collaborate with cross-functional teams, translate data science needs into robust platform services, and grow your autonomy and technical leadership in an international and agile environment.

Experience and education

You have between 3 and 5 years of professional experience in a relevant technical role (for example: platform engineer, DevOps engineer, data/ML engineer, software engineer) and hold at least a Bachelor’s or Master’s degree (or equivalent) in computer science, engineering or a related field.

Your hard skills

  • Good knowledge of cloud environments (AWS, Azure or GCP) and their managed services for data and AI.
  • Solid experience with containers and orchestration (Docker, Kubernetes) in production contexts.
  • Hands-on experience with CI/CD and DevOps practices (Git, pipelines, infrastructure as code such as Terraform/Ansible, monitoring/logging tools).
  • Familiarity with AI and ML concepts and tools (for example Python-based ML stacks, model serving frameworks, MLOps tools) and a strong motivation to grow further in this area.
  • Understanding of security, reliability and performance considerations for production platforms.

Your soft skills

You are a team player with good communication skills, able to collaborate smoothly with data scientists, engineers and operations teams. You show rigor, curiosity and a strong willingness to learn, especially in a fast-evolving AI and cloud ecosystem. You are comfortable taking ownership of problems, proposing solutions and iterating in an agile way. Your mindset combines pragmatism and a desire for quality, allowing you to deliver reliable services while continuously improving them.

Benefits of the role

You will work at the heart of Orange Business’ AI platforms, contributing directly to projects that matter for our customers and internal stakeholders. You will evolve in a modern, cloud-centric environment, with access to cutting-edge AI and platform technologies. You will benefit from a flexible working environment and a culture that values continuous learning, knowledge sharing and innovation.

Career perspectives

In the medium term, this role can open up opportunities towards more senior positions such as Senior AI Platform Engineer, MLOps Lead or Platform Tech Lead. You will also be able to move towards roles focused on architecture or technical leadership on AI and data platforms, depending on your aspirations and strengths.

The team

You will join an international team combining diverse expertise in data, AI, cloud and platform engineering. You will work on visible and impactful projects, in an environment that encourages collaboration, technical excellence and mutual support. You will be surrounded by colleagues who are keen to share knowledge and help you grow.

Our promise

At Orange Business, you grow your skills on a vast and diverse playground where AI, data and cloud come together at scale. You help design, build and run platforms that support impactful AI use cases across multiple countries and industries, with strong expectations on reliability and performance. Surrounded by experienced engineers, you are encouraged to experiment, learn fast and steadily raise your level of technical excellence. When you want to accelerate your journey as an AI platform engineer in a truly global environment, Orange is there.


You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive.

• Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
• Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
• Professional Development: training programs and upskilling/re-skilling opportunities.
• Career Growth: Internal growth and mobility opportunities within Orange.
• Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events.
• Reward Programs: Employee Referral Program, Change Maker Awards.

At Orange, only your skills matter.

Regardless of your age, gender, background, origin, religion, sexual orientation, disability, neurodiversity, or appearance, we actively encourage diversity within our teams, as it is a collective strength and a driver of innovation.
Orange is a disability-inclusive employer: please feel free to let us know about any specific needs you may have.

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Location & working pattern

Casablanca, Morocco

- You contribute to the design, deployment and operation of AI platforms, ensuring reliability, scalability and security in production environments. - You work closely with data scientists, data engineers and infrastructure teams to industrialize AI use cases on cloud and hybrid platforms. - You implement and maintain the tooling and pipelines required for model training, evaluation, deployment and monitoring (MLOps).
More source context
You bring rigor, passion for challenges, and determination. You seek the opportunity to expand your expertise, achieve your goals, and thrive. • Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world. • Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working). • Professional Development: training programs and upskilling/re-skilling opportunities. • Career Growth: Internal growth and mobility opportunities within Orange. • Caring and Daring Culture: Health and well-being programs and benefits, diversity & inclusion initiatives, CSR and employee connect events. • Reward Programs: Employee Referral Program, Change Maker Awards. At Orange, only your skills matter.
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