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Analytics Organizations & The New Emerging Roles

  1. This is as per the different individual searches
  2. There are around 72 Analytics Organization’s worldwide. Below is the bifurcation of the companies:- • Analytics Consulting Companies – 54 • Analytics Product Companies – 38 • Analytics Recruitment Companies – 9 • Analytics Training Companies- 16
  3.  Big Data Analyst  Data Scientist  Data Engineer  Data Visualization Analyst
  4. This requires strong data mining skills, including ETL (data Extraction- Transformation-Loading), data validation, data exploration and aggregation. Here atleast a basic working knowledge of Big Data platforms, like Hadoop and MapReduce, Pig and Hive is mandatory. Using scripting languages like R and Python, a Big Data analyst should be able to generate business insights after processing the raw data. The role also involves working with IT teams and some job roles may even require statistical analysis capabilities.
  5. A data scientist primarily deconstructs structured and unstructured data, explores it through the use of “Predictive and Prescriptive Analytics”, relates the insights obtained to the objectives of the firm and communicates their value to different business functions (like IT, Marketing, Management, Operations, etc). This role requires inter-disciplinary skills and high degree of proficiency with analytics languages, like SAS/ R/ Python as well as a good working knowledge of platforms like Hadoop. A data scientist is expected to combine the skills of analyzing big data, using advanced statistical and machine learning algorithms, harnessing the power of social media and wielding investigation tools to tell a compelling story that a layman can understand.
  6.  A data engineer designs, builds, and manages the information or ‘big data’ infrastructure. Essentially, they develop the architecture and systems which drive analysis and processing of data as well as ensure efficient functioning of these systems. They also gather and process raw data, integrate innovative solutions and algorithms into production systems and support business decisions with ad hoc analysis. Data engineers are required to work closely with IT teams and Data Scientist. Their role is quite instrumental for successful implementation of enterprise wide analytics.
  7. They utilize BI and visual analytics tools like, Tableau, QlikView etc. to analyze large amount of data and present a compelling story in visual formats – such as infographics, maps and other multidimensional charts and dashboard. Data Visualization has got to do with “Descriptive” analytics where explanation and exploration are the two main goals. As competition is increasing and company performance is becoming necessary to track, the demand for visual analysts is increasing.
  8.  Despite the demarcations between job titles, skills and roles often overlap, or are interchangeably used and organization offers a position where the expertise required is a combination of two or more roles.  At end of the day, big data analytics behemoth is basically looking for two types of people – those who can channelize large amount of information and those who can translate business problems to analytical problems, while the ability to communicate remains intrinsic to both roles.  As more and more businesses and government organizations across the world are going to put their faith in data-driven decisions, a plethora of roles previously unheard of – such as Internet of Things (IoT) architect, marketing technologist, technology broker and chief data officer – will be introduced into the fold of data analytics. The skills required for such roles will be in tandem with the development of existing technologies and, undoubtedly, with new technologies unfurling, exciting opportunities for professional will come up to learn and grow.