Data Analyst (Contract)

About the position

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