AI & Data Analyst

Role overview

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; perform predictive, prescriptive, and statistical analysis.
• Use Python, SQL, and 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 Generative AI and automation initiatives.
• Maintain data quality, governance, security, and compliance; prepare technical documentation, presentations, and management recommendations.

Qualifications and experience

• Bachelor's degree in data science, computer science, artificial intelligence, statistics, mathematics, engineering, or a related field.
• The qualifications section also lists bachelor's degree or diploma; the listed degree requirement above is stated in the role qualifications.
• 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 with Scikit-learn, TensorFlow, PyTorch, or similar machine-learning frameworks.
• Experience developing predictive models, dashboards, and data-visualization solutions.

Technical skills

• Python, SQL, Power BI, and Tableau are listed; R is preferred.
• Machine learning, predictive analytics, AI and Generative AI tools, data modeling, data warehousing, ETL development, and statistical analysis.
• Cloud AI platform knowledge, including Azure, AWS, or GCP, is preferred; Azure AI, Azure Machine Learning, and AWS SageMaker are listed as preferred tools.
• AI, machine-learning, data-analytics, Microsoft Azure AI, AWS AI/ML, or Google Data Analytics certifications are an advantage.

Additional role details