Data Analyst (Contract)

Our client is seeking a highly experienced, technically versatile Data Analyst who combines deep analytical expertise with strong system design and development skills. This role is ideal for someone who is curious, self-driven, and comfortable operating across data analytics, data engineering, and AI/ML readiness. You will work with complex datasets, modern data platforms, and enterprise database systems to deliver insights, scalable models, and business intelligence solutions.

Key Responsibilities • Conduct deep-dive analysis across large and diverse datasets to uncover trends, anomalies, and business opportunities. • Translate business requirements into actionable data insights and analytical solutions. • Respond to and manage multiple ad hoc reporting requests with accuracy and clarity. Data Architecture & Modelling • Understand end-to-end data flows from source systems to reporting layers. • Design, develop, and maintain scalable data models supporting analytics and reporting. • Document methodologies, data logic, and findings for technical and non-technical audiences. Technical Development & Data Engineering • Develop and optimise ETL pipelines and data integrations using modern development practices. • Work with enterprise databases such as IBM DB2, Oracle, Netezza (NZ), and SQL Server for data extraction, transformation, and analysis. • Support AI/ML initiatives by preparing high-quality datasets and contributing to model development. Stakeholder Collaboration & Reporting • Liaise with business stakeholders to convert needs into technical specifications and reporting frameworks. • Build dashboards and visualisations using Power BI for effective stakeholder reporting. • Utilise advanced MS Excel techniques (pivot tables, complex formulas, macros) to support analysis and reporting. Work Management • Manage priorities and deliver high-quality work independently with minimal supervision. Required Skills & Experience • 8+ years’ experience in data analytics, software development, or systems architecture. • Strong proficiency in SQL, Python, and/or R. • Expertise with enterprise databases: DB2, Oracle, Netezza, SQL Server. • Solid understanding of data modelling, ETL processes, and system design principles. • Experience with cloud platforms (Azure, AWS, or GCP). • Familiarity with AI/ML concepts and data readiness for modelling. • Excellent communication skills, able to bridge business and technical contexts. • Strong MS Excel skills (advanced formulas, macro/VBA, pivot tables). • Experience with Power BI or similar BI tools. Preferred Qualifications • Degree in Computer Science, Data Science, Engineering, or related field. • Additional analytics/BI tool experience (Tableau, Power BI, etc.).

Desired Skills: • Data Architecture • Data Modeling • IBM DB2 • Oracle • Power BI • Python • R