Data Analyst

Purpose of the Position:

The Data Analyst will be responsible for transforming data into actionable insights to support business decision‑making. This role focuses on data extraction, analysis, visualization, and reporting using modern data platforms such as Databricks, along with SQL and BI tools, to drive data‑driven strategies across the organisation.

Key Result Areas and Activities:

Extract, clean, and transform data from multiple sources using

SQL and Databricks

to support analytics and reporting needs.

Develop and maintain scalable data models and datasets for business intelligence and dashboarding.

Build interactive dashboards and reports using

Tableau and/or Power BI

to visualize key metrics, trends, and insights.

Perform exploratory data analysis to identify patterns, anomalies, and opportunities for business improvement.

Collaborate with business stakeholders to gather requirements and translate them into analytical solutions and reporting outputs.

Support data validation, reconciliation, and quality checks to ensure accuracy and consistency of reporting data.

Automate recurring reporting processes and improve efficiency of data workflows.

Provide actionable insights and recommendations to support operational and strategic decision‑making.

Document data definitions, business rules, and reporting logic for governance and knowledge sharing.

Strong proficiency in SQL for data querying, transformation, and analysis

Experience working with Databricks or similar data platforms

Hands‑on experience with Tableau and/or Power BI for dashboard development

Strong analytical and problem‑solving skills

Experience in data cleaning, validation, and data modelling

Ability to work with large datasets and derive meaningful insights

Experience with Python (Pandas, PySpark) for data analysis

Familiarity with cloud platforms such as AWS, Azure, or GCP

Knowledge of ETL/ELT processes and data pipeline concepts

Experience working in government or regulated environments

Understanding of data governance and data quality frameworks

Qualities:

Strong attention to detail and data accuracy

Good communication skills to translate data insights into business terms

Proactive and solution‑oriented mindset

Ability to manage multiple stakeholders and priorities

Collaborative team player with strong ownership of deliverables

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