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Home/Jobs in UAE/Technology Jobs/AI & Data Analyst
Technip Energies logo
Technip Energies

AI & Data Analyst

🇦🇪 Abu Dhabi, UAE🏢 On-site

💰 Estimated salary: AED 6,000–30,000/month· MenaJobs market estimate

PythonSQLPower BIMachine LearningTableauAzure AIAWS AI/MLETL

At a Glance

Category
💻 Technology
Level
Mid-Level
Experience
3-6 years
Type
Full-time
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Technip Energies logo
Technip Energies
5000+ employees

We are currently seeking a AI & Data Analyst, reporting directly to the Head of the Department to join our team based in UAE, Abu Dhabi.

About us:

Technip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality.

Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last.

About the mission we offer you:

We are seeking a highly motivated AI & Data Analyst to support digital transformation initiatives through advanced analytics, artificial intelligence, machine learning, and business intelligence solutions. The role will focus on extracting insights from complex datasets, developing predictive models, building dashboards, and enabling data-driven decision-making across engineering, operations, and business functions.

Key Responsibilities

  • Collect, clean, validate, and analyze structured and unstructured data from multiple sources.
  • Develop and maintain dashboards, reports, and KPIs using Power BI or similar BI tools.
  • Design, build, and deploy machine learning and AI models to solve business problems.
  • Perform predictive, prescriptive, and statistical analysis to identify trends and opportunities.
  • Utilize Python, SQL, and data analytics tools to automate data processing workflows.
  • Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
  • Develop and optimize data models, data pipelines, and ETL processes.
  • Support the implementation of Generative AI and automation initiatives using modern AI platforms.
  • Ensure data quality, governance, security, and compliance standards are maintained.

• Prepare technical documentation, presentations, and recommendations for management.
Qualifications

  • Bachelor's Degree in Data Science, Computer Science, Artificial Intelligence, Statistics, Mathematics, Engineering, or a related field.

• Certifications in AI, Machine Learning, Data Analytics, Microsoft Azure AI, AWS AI/ML, or Google Data Analytics are an advantage.
Required Experience

  • 3-6 years of experience in Data Analytics, Business Intelligence, Artificial Intelligence, or Machine Learning roles.
  • Hands-on experience with Python, SQL, Power BI, Tableau, or similar analytics tools.
  • Experience in Machine Learning frameworks such as Scikit-learn, TensorFlow, PyTorch, or similar.
  • Knowledge of cloud-based AI platforms (Azure, AWS, GCP) is preferred.

• Experience in developing predictive models, dashboards, and data visualization solutions.
Technical Skills

  • Python, SQL, R (preferred)
  • Power BI, Tableau
  • Machine Learning & Predictive Analytics
  • AI/Generative AI Tools
  • Data Modeling & Data Warehousing
  • ETL Development
  • Statistical Analysis
  • Azure AI, Azure Machine Learning, AWS SageMaker (preferred)

Starting Date: ASAP

About you:

We love to hear from you and how you match with this position. To be successful in this mission you should consider the following requirements:

Qualifications: Bachelors or Diploma

Languages: English + proficiency level (Basic, Professional, Fluent)

Main skills: (up to 4)

Your career with us

Working at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T. EN University, such as The Future Ready Program, Graduate Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development.

What’s Next?

Once receiving your system application, our recruiting team will screen and match your skills, experience, and potential team fit against the role requirements. We ask for your patience as the team completes the volume of applications with a reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application.

We invite you to get to know more about our company by visiting www.ten.com and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates.

Requirements

  • •Bachelor's Degree in Data Science, Computer Science, AI, Statistics, Mathematics, Engineering, or related field
  • •3-6 years of experience in Data Analytics, BI, AI, or Machine Learning roles
  • •Hands-on experience with Python, SQL, Power BI, or Tableau
  • •Experience with Machine Learning frameworks (Scikit-learn, TensorFlow, PyTorch)
  • •Experience in developing predictive models and data visualization solutions

Nice to Have

  • •Certifications in AI, Machine Learning, Data Analytics, Microsoft Azure AI, AWS AI/ML, or Google Data Analytics
  • •Knowledge of cloud-based AI platforms (Azure, AWS, GCP)
  • •Proficiency in R

Responsibilities

  • •Collect, clean, validate, and analyze structured and unstructured data from multiple sources
  • •Develop and maintain dashboards, reports, and KPIs using Power BI or similar tools
  • •Design, build, and deploy machine learning and AI models to solve business problems
  • •Perform predictive, prescriptive, and statistical analysis to identify trends
  • •Utilize Python, SQL, and data analytics tools to automate data processing workflows
  • •Collaborate with stakeholders to translate business requirements into analytical solutions
  • •Develop and optimize data models, data pipelines, and ETL processes
  • •Support the implementation of Generative AI and automation initiatives
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Company
Technip Energies logo
Technip Energies
5000+ employees

Technip Energies delivers engineering and technology solutions for the energy industry, focusing on sustainable projects. It serves energy producers and industrial clients.

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