Bachelors degree in Engineering Mathematics Statistics Actuarial Science or a related field.
36 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 datadriven 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 datadriven decisionmaking across the organization.
Change Catalyst: Collaborate closely with crossfunctional teams to implement datadriven changes and improvements directly contributing to the organizations 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.
DetailOriented DecisionMaking: Maintain a strong attention to detail when making datadriven decisions ensuring data accuracy and relevance.
Teamwork and Leadership: Collaborate effectively with colleagues sharing your insights and taking on leadership responsibilities as needed.
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