Data Analyst / Data Science Analyst

An exciting opportunity has emerged for a Data Science Analyst to lead the development and execution of enhanced analytical capabilities for our client

This role supports the ongoing digital transformation efforts, driving operational improvements and decision-making through advanced data analytics, machine learning, and AI technologies.

Key Responsibilities
• Lead the development and enhancement of the NOVA Analytics Platform
• Plan, design, and execute the creation of analytics dashboards and solutions aligned with the Analytics Roadmap. This includes
• Data sourcing, cleaning, and preparation
• Model development, validation, and optimization
• Prototyping and testing analytics solutions with end users
• Use data mining techniques to identify opportunities for deeper insights and actionable data-driven solutions
• Stay updated on the latest tools and techniques in data science to proactively drive improvements and innovation
• Collaborate with internal stakeholders to understand business needs and deliver analytics solutions that provide actionable insights
• Build intuitive dashboards and generate ad-hoc insights that are easily understood by non-technical stakeholders
• Engage with senior leadership to communicate key findings and recommend data-driven strategies

Qualifications & Experience
• 3+ years of experience in a Data Analytics or Data Science role, with a focus on leveraging large datasets and conducting hands-on statistical analyse
• Proficiency in database technologies (e.g., SQL, NoSQL, Graph Databases
• Strong experience with data science programming frameworks such as Python or R
• Hands-on experience with data visualization tools, such as Tableau or PowerBI
• Ability to develop actionable insights that drive measurable business outcomes
• Solid foundation in statistical analysis, with the ability to select and apply the correct tools and methodologies
• Excellent communication and presentation skills, particularly in explaining technical concepts to non-technical audiences
• Bachelor’s degree in Data Science, Mathematics, Statistics, Computer Science, or a related field

Desirable Qualifications
• Certifications in Tableau or native-cloud platforms (e.g., AWS, Azure, GCP)
• Experience with Generative AI models, including hands-on usage and tuning
• Demonstrated experience in end-to-end machine learning projects
• Exposure to cloud and big data technologies (e.g., AWS, Azure, Google Cloud, Spark, Hive, Presto)
• Strong self-motivation and ability to independently research and adopt new data science technologies