We are looking for an experienced and technically versatile Data Analyst who excels in data interpretation, business insight generation, and technical development. This role requires a deep understanding of data architecture, system design, and AI concepts, combined with the ability to translate complex data into actionable business intelligence. The ideal candidate is self-driven, highly analytical, and comfortable working across multiple disciplines and technologies.
Key Responsibilities
- Perform deep-dive analysis across diverse datasets to uncover trends, anomalies, and business opportunities.
- Interpret business and project requirements to design meaningful, actionable data solutions.
- Respond to and manage multiple ad hoc reporting requests, ensuring clarity, accuracy, and relevance.
- Understand end-to-end data flows, from source systems to reporting layers.
- Design and maintain data models that support scalable analytics and reporting.
- Collaborate with stakeholders to translate business needs into technical specifications and reporting frameworks.
- Develop and optimize data pipelines and integrations using modern development practices.
- Work with databases such as IBM DB2, Oracle, Netezza (NZ), and Microsoft SQL Server to extract, transform, and analyse data.
- Support AI/ML initiatives by preparing data and contributing to model development and deployment.
- Manage own workload and priorities effectively, delivering high-quality outputs independently.
- Document findings, methodologies, and data logic clearly for both technical and non-technical audiences.
- Utilize advanced MS Excel skills for data manipulation, analysis, and reporting.
- Leverage Power BI for dashboard creation, data visualization, and stakeholder reporting.
Required Skills & Experience
- 8+ years of experience in data analytics, software development, and systems architecture.
- Strong proficiency in SQL, Python, and/or R.
- Expertise in enterprise databases: DB2, Oracle, Netezza (NZ), SQL Server.
- Solid understanding of data modelling, ETL processes, and system design principles.
- Experience with cloud platforms (e.g., Azure, AWS, GCP).
- Familiarity with AI/ML concepts, model lifecycle, and data readiness.
- Proven ability to work independently and manage multiple priorities effectively.
- Excellent communication skills, with the ability to bridge technical and business domains.
- Strong skills in MS Excel (pivot tables, advanced formulas, macros).
- Exposure to Power BI for data visualization and reporting.
Preferred Qualifications
Degree in Computer Science, Data Science, Engineering, or related field.
Experience with tools like Power BI, Tableau or similar.