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Analytics Specialist

Job Requisition Number:  8842
Date:  03-Aug-2022


The Opportunity 

As an Analytics specialist joining ahm, you will work within the Strategy and Analytics team and play a key role in driving performance outlook and insights. 


This role will require querying, managing and consolidating large databases, and subsequently presenting insights in clear and digestible formats to have sustainable impacts.


Your impact?

  • Provide a clear and comprehensive analysis of across both private health insurance and diversified product portfolios.
  • Designing and developing bespoke data driven solutions, through proven analytical techniques, that are aligned to enable ahm’s business strategy, OKRs, and sustainable competitive advantage
  • Built report in line with the weekly, monthly, and quarterly needs of the business – with a specific focus on supporting the Squads with insight development.
  • Measuring campaign performance and delivering actionable insights on campaign optimization and opportunity sizing


Who are you?

Enough about us, let’s talk about you… you have an entrepreneurial spirit and aren’t afraid to roll your sleeves up when the time comes. You’re a little bit obsessive about understanding our customers and getting to know what makes them tick. You’re a self-starter and can manage competing stakeholders, time, and priorities effectively.


  • You have a proven track record in Analytics and are highly proficient in SAS, SQL, and Tableau / Power Bi.  Exposure to Python and R desirable but not essential.
  • You are analytical and your problem-solving ability is one of your strengths, you use relevant data to provide insight and drive performance.
  • You’re skilled at working collaboratively with others and actively contributing to the achievement of common work goals.
  • You are innovative and you can effectively structure a story story and communicate with clarity to senior audiences. 
  • You are a big picture thinker who can draw upon the market context to understand the impact on performance.


Other skills?

  • Demonstrated expertise in using extremely large, complex data sets
  • A strong self-starter that can work both autonomously and in a team environment;
  • Degree qualified in Analytics, Data-Science, Engineering, Commerce, Econometrics/Economics, Information Management, Business Statistics or another business-related discipline

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