Job Description

Minimum requirements:

• Bachelor's degree in Engineering, Mathematics, Statistics, Actuarial Science, or a related field.
• 3-6 years of experience in data analysis or a related field.
• Proven expertise in data analysis, including data cleaning, statistical analysis, and data visualization.
• Strong analytical and quantitative skills with a keen ability to identify trends and outliers in data.
• Effective communication skills, including the ability to convey data-driven insights clearly and persuasively.
• Commercial awareness and a deep understanding of how data impacts business decisions.
• Demonstrated ability to work well within a team and to take on leadership responsibilities.
• Proficiency in data analysis tools and software (e.g., Excel, Python, R) is highly desirable. 

Responsibilities:

• Data Analysis: Apply your extensive data analysis skills to process, clean, and interpret data from various sources to uncover valuable insights and trends.
• Insight Generation: Translate complex data findings into clear and actionable insights that support data-driven decision-making across the organization.
• Change Catalyst: Collaborate closely with cross-functional teams to implement data-driven changes and improvements, directly contributing to the organization's growth and success.
• Analytical Skills: Utilize and further develop your analytical and quantitative skills to tackle challenging data analysis tasks.
• Commercial Effectiveness: Ensure that your data analysis aligns with and enhances the commercial effectiveness of their projects.
• Detail-Oriented Decision-Making: Maintain a strong attention to detail when making data-driven decisions, ensuring data accuracy and relevance.
• Teamwork and Leadership: Collaborate effectively with colleagues, sharing your insights and taking on leadership responsibilities as needed.