Big Data Analyst

Job Profile

A Data Analyst job doesn’t involve frequent field visits and mostly involves indoor work. A Data Analyst’s work is individualized but the interpretation and decision making involves team efforts. It is mostly routine work and hardly requires stretched work time. Being a Data Analyst demands to work under pressure. As more and more companies are now moving towards the logical process of decision making there is a great demand for Big Data Analyst. The current demand includes handling a large amount of data and analyzing it properly to make a visualization of the hidden pattern to make an analytical decision.

A Data Analyst’s job is increasing in demand as more companies are using data to make future predictions and prepare better according to the market conditions. Data Auditor and Data Miner is one of the most popular job profiles that offers salaries up to Rs 10 Lakh per annum based on the experience. One can also opt-in for specialization under this career like Database management, Business intelligence, Cognitive computing development, Cloud computing etc.

Salary/Package

With required skill-set and intelligence, one can start with a basic salary of up to Rs 4 Lakh p.a. and move to mid-level with a pay package of Rs 8-9 Lakh p.a. and get at a senior level position with salaries up to Rs 12-15 Lakh p.a.  IT companies, Banks and Big technology companies recruit Data Analysts regularly. Pune, Bangalore, Hyderabad and Mumbai are the most popular cities that hire Data Analyst professionals with an average pay package of Rs 6-7 Lakh p.a. based on the experience and knowledge. The salaries may vary based on experience, skills, roles, location, etc.

Skills required

• A Big Data Analyst must have good analytical and statistical skill
• You must have the ability to take responsibility and adhere to strict deadlines while working under pressure
• A Big Data Analyst should also have a grip on programming languages, handling database, predictive analytics, data mining and data auditing
• Team player, Ability to work long hours

Pros and Cons of being a Big Data Analyst

Pros

• It is an enriching career for those who love playing with numbers, data and making strategic decisions.
• It requires a specific set of skills which very few possess, that make it free from fierce competition.
• The future aspects are promising as it is a vast area to explore and learn
• It helps you pushing your limits and forces you to update your skills and knowledge continually

Cons

• The job requires excellent analytical and statistical skills for taking even the smallest strategic decision.
• The job demands working under pressure and adhering to strict deadlines
• It requires a lot of additional knowledge with UG and PG degree to stand out that makes it very difficult to excel

How do I be one

To become a Big Data Analyst professional, there isn’t any hard and fast requirement, but there are some aspects that you need to fulfil to become one. Complete your 10+2 in Science, Commerce, and Humanities/Arts stream (Mandatory Subject: Mathematics). After completion of 10+2, you have to opt-in for an undergraduate degree in science, mathematics, engineering, finance, economics, and statistics or data science. A UG degree in these subjects is necessary because to become a Big Data Analyst you must have a grip on statistical and analytical skills. After completion of UG degree, you can start preparing for a PG degree in science, mathematics, engineering, finance, economics or statistics. Companies like IBM, Microsoft; Google also offers specialized certifications to excel in Big Data Analysis.