Responsibilities
- Thematic Data Analysis : Perform data cleansing, analyseplex data sets, and conduct statistical analysis to identify business opportunities, generate customer insights, and root causes for informed business decisions.
- Campaign Management and Execution : Support the end-to-end process of planning, executing, and optimising data-driven campaigns, with a focus on lead generation and performance tracking to drive business growth and engagement.
- Data Modelling and Pipeline Development : Design appropriate data models and develop data pipelines to support analytical initiatives.
- Dashboard and Reporting : Collaborate with business stakeholders to develop dashboards and prepare detailed reports and presentations.
- Process Automation : Identify, develop, and implement automation solutions to enhance the efficiency and accuracy of data analytics, campaign management, and reporting processes.
- Additional Duties : Perform other duties as assigned by the team and senior management.
Key Requirements :
Minimum 3 - 5 years of hands-on experience in data analytics in the insurance or financial industry.
Bachelor's or Master's degree in Statistics, Data Science, Mathematics,puter Science or related disciplines.Proficiency in Python, SQL, PowerBI for data manipulation, data analysis and data visualization.Self-motivated professional, excellent problem-solving skills, a strong analytics mindset, a track record of analytics solving, innovation and transformation for impactful business results.Strongmunication skills to effectively conveyplex findings to technical and non-technical stakeholders.Experience with data modelling, data pipelines, and ETL processes and experience working with large-scale structured and unstructured data sets.