Data Analyst 15J25

The role of a Data Analyst is pivotal in businesses of all sizes and sectors, as they work to extract insights and meaning from data to drive decision-making. As a Data Analyst, you'll delve into datasets to provide detailed insights and statistical analyses that help improve business operations, strategies, and results. Analyzing trends, assessing outcomes and understanding patterns are core to the role, which helps to predict future scenarios and guide strategic planning. With a blend of analytical skills and business acumen, this position is crucial for identifying potential growth opportunities and minimizing risks. You will be essential in transforming raw data into actionable insights, enabling informed decision-making and strategic development across the organization.

Responsibilities

• Analyze large datasets to identify patterns, trends, and inconsistencies.
• Develop and maintain data reporting systems and dashboards for stakeholders.
• Collaborate with cross-functional teams to understand their analytical needs.
• Create clear data visualizations to communicate findings and insights effectively.
• Produce comprehensive reports detailing insights and proposed actions.
• Conduct data mining and predictive analysis to forecast trends and outcomes.
• Ensure data accuracy and integrity by performing quality control methods.
• Identify opportunities for process improvements and make data-driven recommendations.
• Work closely with IT teams to automate data collection processes.
• Support decision-making through quantitative justification and trend analysis.
• Maintain updated knowledge of industry and technological advancements in data analysis.
• Advise on sound methodologies for robust data analysis and interpretation.

Requirements

• Bachelor’s degree in Mathematics, Statistics, Computer Science, or related field.
• Proven experience in data analysis, with strong analytical skills required.
• Proficiency in data manipulation and analysis software such as SQL, Python, or R.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong problem-solving skills and the ability to work independently.
• Excellent communication skills to present complex data insights clearly.
• Strong attention to detail and a methodical approach to data analysis.