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Scope: Definition & Objective

The Confusion in the Analytics Market

Definition & Objective




The number of analytics professionals is increasing at a high rate


Number of Kaggle members gives insight about the rapid increase in the number of analytics professionals




Kaggle 2018.png
Global Linkedin members capability targeting by various skills including Big data, python, algorithm, statistics, data mining, data analysis, text mining, R
Global Linkedin members title targeting including business analyst, data analyst, data scientist, SAP consultant, data scientist


Estimated analytics audience on LinkedIn platform

A quick keyword search on LinkedIn shows a large number of professionals who define themselves in analytics and data science related spaces...


Top 100 LinkedIn Data Science & Analytics Groups Member Base: 2.3 M

.. and a multitude of groups with growing memberships

Most popular analytics and data science LinkedIn groups
analytics data science word Cloud according to various companies

We see that almost every company has a unique way of defining roles related to data analytics and big data technology

Looking at actual job postings related to analytics and data science departments & teams, we see that even the companies in the same industry have very different role definitions of and expectations from the same job title

Different Job Postings about data scientist and data analyst roles

It gets even more confusing when we look at the same job title across industries, creating confusion in the market

Different Job Postings about director of analytics business intelligence manager roles

Setting industry standards for data science and analytics related roles would support the healthy growth of the analytics market

Analytics Market and sector background, main challenges regarding standards and framework need

IADSS will provide meaningful contribution to this standards issue by developing a framework to understand the analytics and data science profession landscape …

Industry Standards in analytics and data science framework, skill-set requirements, job titles, roles, the structure of analytics teams

… with involvement of all related parties from industry, academic world and service providers

academics industries and service providers as contributors to the analytics and data science Industry standards framework
  • Research initiative will focus on existing and emerging data science & analytics related roles within organizations, job requirements for such roles and corresponding skill-sets.

  • IADSS will then analyze and group findings to create a standardized list of data science & analytics roles along with career paths and profiles/skills of professionals to fulfill the requirements of these roles

  • IADSS will rely on the expertise of academicians and industry experts to ensure defined standards are academically sound and rooted in industry realities for the analytics market

  • This will be an ongoing initiative, continuously updated standards according to industry dynamics and emerging topics in data science and analytics

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