Data Analyst 1
- Analyse complex, large-scale datasets – including temporal and relational data – to identify patterns, detect anomalies, and uncover actionable insights.
- Build and maintain interactive dashboards to visualise key metrics and support decision-making.
- Work closely with customers to understand their business requirements and translate them into effective data solutions and visualisations.
- Present clear, concise insights and recommendations to technical and non-technical audiences.
- Develop and document queries, scripts, and reports for recurring and ad-hoc analysis.
- Take an analytical lead by developing a deep understanding of our data holdings and proactively driving the evolution of analytical support across the customer.
- Support continuous improvement of data models, processes, and data governance practices.
- You have proven experience in data analysis or a related role, preferably within a customer-facing environment.
- You are proficient in Python for data analysis, using libraries such as pandas, NumPy, and Matplotlib to manipulate data and uncover insights effectively.
- You have hands-on experience with graph databases like Neo4j, allowing you to explore and analyse complex data relationships.
- You are comfortable building and maintaining dashboards using OpenSearch or comparable visualisation tools, helping teams monitor and interpret key metrics.
- Your SQL skills are strong, and you are familiar with working in relational database environments to extract, transform, and analyse data efficiently.
- Communication is one of your strengths – you can break down complex analytical concepts into clear, actionable insights that resonate with non-technical stakeholders.
- You understand the importance of data quality, governance, and privacy, ensuring that your analyses respect these critical considerations.
- You bring a proactive mindset, taking ownership of your analytical projects and driving them forward independently while collaborating effectively with your team.
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