Role Overview
- We are seeking a Data Analyst to transform data into actionable insights that support strategic and operational decision-making across the business. The successful candidate will be responsible for analysing data, building dashboards and reports, and providing insights that improve operational efficiency.
- The role requires a highly analytical individual who can interpret complex data, identify trends and opportunities, and communicate findings clearly to both technical and non-technical stakeholders.
Key Responsibilities:
Data Analysis
- Analyse large datasets to identify trends, patterns, opportunities, and actionable business insights.
- Conduct customer behaviour, product performance, and operational analyses to support business objectives.
- Monitor key business performance metrics and proactively identify opportunities for improvement.
Reporting & Dashboard Development
- Develop, maintain, and optimise dashboards, reports, and visualisations using business intelligence tools.
- Translate business requirements into meaningful KPIs, data models, and analytical outputs.
- Deliver regular and ad-hoc reports to support decision-making across departments.
Stakeholder Collaboration
- Collaborate with Product, Engineering, Marketing, Finance, Operations, Compliance, and Management teams to understand reporting and analytical requirements.
- Support departments in defining, measuring, and monitoring relevant KPIs.
- Present analytical findings and recommendations clearly and understandably to stakeholders.
Data Quality & Governance
- Perform data validation, cleansing, and quality checks to ensure the accuracy and reliability of reports and insights.
- Support the implementation of reporting standards, data governance practices, and documentation.
- Create and maintain documentation for dashboards, reports, analytical models, and reporting processes.
Business Intelligence & Continuous Improvement
- Simplify complex data concepts and insights for non-technical users.
- Identify opportunities for reporting automation and process improvements.
- Stay updated on developments in analytics, business intelligence, fintech, cryptocurrency, blockchain, and data visualisation technologies.
Requirements:
- Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, Finance, or a related field.
- Proven experience in data analysis, business intelligence, or a similar analytical role.
- Strong proficiency in Microsoft Excel and data visualisation tools such as Power BI, Metabase, Tableau, or similar platforms.
- Experience working with SQL and querying databases.
- Strong analytical, problem-solving, and critical-thinking skills.
- Ability to interpret complex data and translate findings into actionable recommendations.
- Excellent communication and presentation skills.
- High attention to detail and commitment to data accuracy.