To expect one person to fully understand the business

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to expect one person to fully understand the business problem, formulate an analytical plan, implement and maintain it while also keeping up with advancements in technology. Hence, a variety of roles have emerged in this space and can be broadly understood on the following spectrum: The table above provides a broad idea of the algorithmic and programming experience needed for different mid-level roles in the industry that can benefit from knowledge of analytics. Since this handbook is focused for MBAs, we will primarily keep our focus on discussing information relevant to roles such as General Manager/Trainee , Management Consultant/Associate, Analytics Consultant and Analytics Manager/Associate. You might find a couple of other roles also like Digital Marketing specialist or Knowledge Specialist which are just another version of the Analytics consultant role or analytics manager role. A critical decision when getting analytics industry is to understand whether a 3 rd party analytics firm/analytics consulting firm is a better fit or working in-house in a firm is a better options. Key benefits of working in analytics consulting firms are: 1. One can gain knowledge of the different industries and companies 2. One can to switch to another sector relatively easily 3. One can move in-house at later stages 4. One typically grows faster in consulting environment Focus on executing and research Data Scientists MS students better suited than MBAs Researchers PHDs preffered Analytics Consultants/ Analytics Mangers MBAs preferred Broad idea of types Of algorithms General Management and Consultants MBAs preferred Focus on framing the business problem and a plan of attack Knowledge of tried and tested algorithms Knowledge of state of art ML/AI algorithms Discovering new Application of algorithms Structure problems, Delegate tasks Explore models and state of art algorithms, focusing on accuracy/precision Solve 1-2 Problems In 5 years Structure and build a working solution Knowledge of tools and their capabilities, Programming is bonus ROLE Algorithmic Expertize Program- ming skills Typical Goal Comfortable programming standard algorithms Write well commented, Production level codes, Constant upskilling Need basis
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