"Are you a person who likes to make sense out of large amount of data? Are you good with complicated software tools like Hadoop, Java, C#, Python, HBase, Cassandra? Then you must consider a career in the big data industry, which is booming at this point. According to
The employment scene is promising even globally.
Candidates with Bachelors or Masters degree in math, statistics, economics and computer science or related fields may get into this profession. Those with advanced computer science degrees or PhDs in subjects such as physics, biology or social sciences are also hired. "A data analyst should not only have a strong business acumen, but also the analytical ability to turn data findings to conclusions and conclusions to insights," says Nagpal. Good communication skills are important. As the skill-set required for this industry is highly niche, the remunerations are also very competitive. "The starting salary could be up to
"Analytics companies recruit people who love numbers and can simplify complex ideas. People with a filtering mind that can scan, store and prioritise all the information captured around their five senses fit the bill," points out Nagpal. So if you enjoy working with data in different ways, experiment with visualisation techniques and have an eye for details and if you have good IT skills, then you could find your niche as a data analyst.""Options galore
A Business Analyst analyses specific business problems and derive answers from the same using an array of analytical tools. S/he should be proficient in statistics in order to interpret the statistical results and link them to the business context. A business analyst who works in the financial risk space is called a risk analyst. S/he should have in-depth knowledge of portfolio trends, collections forecasts and credit risk adjudication models, etc.
A Subject Matter Expert or SME has specialised knowledge about a business function. S/he works closely with a business analyst to help them understand the data findings in the right business context.
A Statistician has the knowledge of statistical and modeling principles and tunes out chance findings from really significant findings that will repeat over a period of time. S/he sets the path for the whole team by creating an analytics plan that can peel different layers of data in a step-by-step fashion.
A Delivery Manager is responsible for the team, which collects, analyses and interprets the data. S/he also interacts with clients, keeps the projects stays on track and inspires the team to look beyond the obvious to uncover the hidden insights.
Most Popular Stories
- 5 Notable Hispanic Technology Executives
- Top Hispanic Tech Companies Push for the Top
- Rand Paul Tops Presidential Straw Poll at Conservative PAC Conference
- Tesla's Alt-Energy Future Aims for Massive Lithium-Ion Battery Production
- New Chat App, Yik Yak, Causes Problems for Students
- China Urges Malaysia Flight Emergency Response
- Gas Prices May Jump from Calif. Emissions Law
- Obama Meets with Ukraine Prime Minister Wednesday
- Visa, MasterCard Team Up to Focus on Payment Security
- Russia, Crimea Discuss Referendum