Data Analyst
CurrentGather, extract, and compile data from various sources, ensuring accuracy, completeness, and integrity.Cleanse and preprocess data to remove errors, inconsistencies, and outliers, ensuring high-quality data for analysis.Apply statistical methods and data analysis techniques to explore and interpret complex datasets.Identify trends, patterns, and correlations to uncover key insights and make data-driven recommendations.Perform advanced data analysis, including predictive modeling and regression analysis, to support business objectives.Develop clear and concise reports, dashboards, and visualisations to present complex data findings to stakeholders.Translate analytical results into meaningful and actionable insights that facilitate decision-making at various levels of the organisation.Create data visualisations using tools like Tableau, Power BI, or Excel to effectively communicate findings.Conduct data quality checks to ensure data accuracy, consistency, and reliability.Collaborate with relevant teams to identify and address data quality issues, implementing measures to enhance data integrity.Collaborate with cross-functional teams to understand business objectives and provide analytical support for strategic decision-making.Perform ad-hoc data analysis and generate insights to address specific business questions or challenges.Monitor key performance indicators (KPIs) and provide regular reports and analysis to support business performance monitoring and improvement.Stay updated with industry trends, emerging technologies, and best practices in data analysis and business intelligence.Explore innovative ways to leverage data and analytics to drive process improvements, optimise operational efficiency, and identify new business opportunities.