Data Analyst

 

Job details:

 

LifeStar Insurance are currently seeking a Data Analyst who is highly analytical with a knack for analysis, math and statistics. You will be a critical thinker and will use your skills and knowledge to interpret data and be a problem solver.

Main Responsibilities:

Work with different stakeholders throughout the organization to identify opportunities for:

  • Leveraging company data to drive business solutions
  • Identifying valuable data sources and automate data collection processes
  • Undertaking pre-processing of structured and unstructured data
  • Mining and analysing data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
  • Assessing the effectiveness and accuracy of new data sources and data gathering techniques
  • Developing custom data models and algorithms to apply to data sets
  • Using predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
  • Other reasonable duties and responsibilities with the overall function, which may be assigned from time to time. Specifically you will be involved in the implementation of projects pertaining to business data, financial and insurance systems

 

Other Responsibilities (Risk Related):

  • Maintain a comprehensive overview of the processes within your section and report any key business risks across all levels to the Chief Information Officer promptly
  • Assist your superior or senior management to develop, communicate and instill a risk management culture
  • Encourage / motivate your colleagues in risk management principles and practices

 

Knowledge / Skills / Qualifications:

  • A First Degree in Computer Science or equivalent
  • One or more years of experience working in a financial services institution, or a similar role will be preferred however training on the job will be provided
  • Attention to detail and excellent communication skills, a positive attitude and a professional customer-oriented approach
  • Creative, organized and proficient in using Microsoft Office applications
  • Fluency of written and spoken English language

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