Job Description

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 analysis.
• Proficiency in database technologies (i.e. 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.
• 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.