Data Analyst (Databricks)

Role Summary

The Data Analyst is responsible for transforming data into actionable insights that support business decision-making. The role requires strong business context understanding, stakeholder engagement, analytical thinking, and data visualisation expertise to communicate insights effectively.

Key Responsibilities

Business Analysis & Insights

• Develop a deep understanding of business processes, operational challenges, and policy objectives.
• Partner with stakeholders to understand business needs and translate them into analytical requirements.
• Analyse datasets to identify trends, opportunities, risks, and performance indicators.
• Provide recommendations and insights that support data-driven decision-making.

Analytics & Data Visualisation

• Build, enhance, and maintain dashboards for performance reporting, operational monitoring, and user behaviour analytics.
• Design intuitive and impactful visualisations that effectively communicate complex findings to business users.
• Apply data storytelling techniques to present insights to both technical and non-technical audiences.
• Define and track business metrics

Data Preparation & Analysis

• Query, clean, and analyse data using SQL, Python, and Databricks.
• Validate and interpret data to ensure analytical outputs are accurate and meaningful.
• Collaborate with data engineers to improve data accessibility and usability for reporting purposes.

Documentation & Knowledge Management

• Develop user guides and business documentation for dashboards, reports, and analytical products.
• Maintain documentation on reporting methodologies, metric definitions, and analytical standards.

• Support agile delivery activities such as requirements gathering, user story creation, and acceptance testing.
• Explore automation opportunities to improve reporting and analytics workflows.

Competencies & Requirements

Technical Skills

• Proficiency in SQL and Python for data analysis.
• Hands-on experience with dashboard and visualisation tools (e.g. Databricks, Power BI).
• Experience using Databricks or similar analytics platforms.
• Ability to create compelling visualisations and data stories for diverse audiences.
• Strong documentation and report-writing capabilities.

Preferred Skills

• Understanding of business intelligence and KPI frameworks.
• Familiarity with Jira, QA testing, and agile delivery practices.

Soft Skills

• Strong business acumen and ability to understand operational and policy contexts.
• Excellent communication and stakeholder management skills.
• Ability to translate technical findings into meaningful business insights.
• Strong analytical mindset, curiosity, and problem-solving abilities.
• Attention to detail and commitment to delivering high-quality outputs.