Key Responsibilities
- Undertake data collection, processing, and management of both structured and unstructured datasets.
- Identify valuable data sources and automate data cleaning and data capture processes to ensure data quality and efficiency.
- Analyze large volumes of data to discover trends, patterns, and actionable insights that drive business decisions.
- Prepare and present information through data visualization techniques to communicate findings effectively.
- Collaborate closely with engineering, IT, and business teams to align analytics efforts with organizational goals.
- Prepare portfolio performance reports at defined intervals, incorporate business feedback, and continuously enrich reporting quality.
- Drive automation projects to streamline workflows and improve operational efficiency.
- Contribute to the execution of the organization's advanced analytics roadmap.
- Train and mentor team members on new open-source data analytics platforms.
- Apply strong analytical and logical thinking skills to solve complex business problems.
- Utilize domain knowledge in general insurance, particularly motor and health products, to enhance data analysis relevance.
Required Skills & Competencies
Proficient in Python, R, and SQL; familiarity with Java or VB Script and object-oriented programming.Expertise in advanced Excel functionalities.Strong technical knowledge in data modeling, data mining, and segmentation techniques.Ability to drive and manage automation initiatives.Excellent presentation and communication skills.Analytical mindset with logical reasoning and problem-solving capabilities.Understanding of general insurance products, especially motor and health insurance, is advantageous.Skills Required
Python, Sql, Java, Vb Script, Advanced Excel