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
