Data Analyst

• Data Collection: Gather data from internal databases, data warehouses, APIs, spreadsheets, and external sources, ensuring data is obtained in a usable, structured format.
• Data Cleaning & Preparation: Identify and correct errors, inconsistencies, and missing values. Transform raw data into analysis ready datasets (e.g., normalization, feature creation).
• Reporting & Visualization: Build dashboards and visual reports using tools like Power BI, Tableau, or Excel.
• Data Modelling & Forecasting: Create simple predictive models or forecasting methods when required.
• Data Governance: Ensure accuracy, consistency, and security of data assets. Document data sources, definitions, and transformation rules.

• Strong analytical and problem solving skills
• Proficiency in SQL and data querying
• Experience with data visualization tools (e.g. Power BI, Tableau)
• Understanding of data models and structured datasets
• Ability to communicate insights to both technical and non technical audiences
• Attention to detail and a structured approach to analysis

Desired Skills

• Curiosity and a desire to ask "why?"
• Persistence with messy or ambiguous data.
• Adaptability to rapidly changing business needs.

Primary Skill

Expertise in acquiring, handling, and manipulating large, complex data sets sourced from multiple disparate systems. This includes the ability to integrate structured and unstructured data, resolve data quality issues, and apply robust transformation techniques to produce reliable, analysis ready datasets

Secondary Skill

Ability to collaborate with Stakeholders to understand requirements. Adept at translating complex or high level stakeholder needs into clear, actionable, and measurable analytical tasks

If you believe you have the experience required, please apply with your CV now for instant consideration!