Data Analyst

As a Data Analyst, you will be responsible for interpreting data, analysing results, and providing insights to drive strategic business decisions. You will work closely with cross-functional teams to identify opportunities for improvement, develop data-driven solutions, and communicate findings to key stakeholders.

Responsibilities:

• Lead the development and implementation of data analytics strategies to support business objectives.
• Collect, organize, and analyse large datasets using statistical techniques and advanced analytics tools
• Identify trends, patterns, and correlations in data to uncover insights and opportunities for optimization.
• Develop predictive models and algorithms to forecast business performance and customer behaviour.
• Collaborate with stakeholders to understand business requirements and translate them into actionable insights and effective visualizations
• Design and present visually appealing and insightful reports, dashboards, and visualizations to communicate findings effectively using Tableau / PowerBI.
• Provide recommendations for process improvements and strategic initiatives based on data analysis.
• Work closely with stakeholders to gather requirements and provide technical expertise in the deployment of Tableau -based solutions.
• Stay updated on industry trends, emerging technologies, and best practices in data analytics.
• Ensure data integrity, accuracy, and consistency throughout the analytics process.

Requirements:

• Proven experience delivering commercial value through advanced analytic solutions and data-driven insights.
• Proficiency in programming languages such as Python, R, or SQL for data manipulation and analysis.
• Strong understanding of data visualization techniques and tools (e.g., Tableau, Power BI).
• Experience with machine learning algorithms and techniques for predictive modelling.
• Excellent communication skills with the ability to present complex data insights in a clear and concise manner.
• Strong problem-solving skills and attention to detail.
• Ability to work effectively in a collaborative team environment and manage multiple projects simultaneously.
• Experience working with large datasets and database systems (e.g., Hadoop, Teradata).
• Proven track record of driving business value through data-driven decision-making.