Data Analyst

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.