Attributes needed for the job include statistical skills, IT-savvy and project management experience. Knowledge of packages such as SAS and SPSS is helpful in this career.
What is your career path as an Analytic?
As the analyst grows within the organization and gains business acumen, he is then capable of getting into business analytics.
Fresher: You would also be expected to pick-up nuances of business data, what data is usually wrong, what are the outliers to spot, besides learning the programming languages to retrieve and manipulate data.
Experienced: Depending on your aptitude and organizational abilities, you can tweak the level of business exposure, people management with the amount of technical analysis / skills.
Managerial roles: After a period of up to five years, you will be full time dealing directly with clients, people management, requirements gathering, and transmission to technical details for your team.
Business leaders: The focus will be to grow your team size, maximize customer satisfaction, and deliver innovative analytics that positively impact business revenues.
Why did I choose this career?
I can tell you the reason that had made me stick to it.
Scope of learning: Different clients have different set of queries to be answered. This gives a new perspective and unmatched knowledge exposure.
Exercising the mind: It lets the mind draw inferences on different situations and come up with smart answers.
Creativity: Unleash the power of numbers that is hidden in volumes of data given to us.
Types of data analytics:
Descriptive analytics: An organization go about their business, they gather a lot of information on sales, volumes, prices at the distributor level and about competition.
Predictive analytics: It refers to the art and science of analyzing and finding patterns in data to build-up predictive recommendations. Extensive use of economics and statistics is undertaken.
Data-driven strategy: This is done by segmenting the data population into test on which a new strategy called the challenger strategy is to be tested. Building association rules which describe which parts of the product or customer data are clustered or co-related together are also part of analytics.
What about the mind set?
Attributes needed for the job include statistical skills, IT-savvy and project management experience. Knowledge of packages such as SAS and SP SS is helpful in this career. One needs to know the overall business environment of the client, economic scenario and how they should make their decisions.
