Data analyst is one of India's top career profiles, with Glassdoor citing the annual base pay in 7 figures. A new study finds that analytics practitioners gain 26% more than software engineers in India. And a fast search on LinkedIn offers more than 4,000 new job opportunities to those looking for a Data Science career. The predicted demand for data and analytical capabilities is only expected to grow exponentially as data continues to become more important and the foundation of actionable insights.
The job of data analysts take is to analyze data and detect patterns, make predictions, and generate knowledge to help their employers make better-informed management decisions. Data analysts work on Wall Street for major hedge funds and investment banking companies. They also work in the healthcare, communications, and retail industries.
What has the Data analysis sector in store?
Data analytics provide a wide range of possibilities across markets and across businesses.
- Financial experts: The group of financial analysts is usually the most detailed grouping for data analysts. This category of position can include market analysts, management analysts, and a wide range of different types of investment analysts.
- Market research analysts: Marketing tracking and predicting and revenue patterns. Tests the success of marketing campaigns and techniques. Create and test data collection techniques, such as surveys, questionnaires and opinion polling.
- Big data and Machine Learning: As the market landscape grows, the use of data is also changing, with demand for big data technology, big data processing, and machine learning being some of the key growth fields. This form of big data technologies is more deeply incorporated into data processing systems at large universities in the United States and around the world, all of which remain.
Career paths in the field of Data analytics
- Business analyst: analyses relevant business details.
- Management reporting: reporting data analytics to management on company operations.
- Policy analyst: works on the study and monitoring of the policy.
- Insurance underwriting analyst: analyses customer, business, and market data for insurance plan decisions.
- Sales analysis: relies on sales results that help to sustain, enhance, or refine the sales process.
- Web analytics: analyses the analytics panel around a single page, theme emphasis, or website in a detailed manner.
- Social media data analysts: social media develop, track, and advance the technologies and content that social media networks focus on.
- Machine learning analyst: machine learning is an emerging technology that includes programming and feeding computers for cognitive decision-making.
Reasons to have a Data Analytics Career
There are a variety of practical explanations for an interesting career in data analytics, including:
- Good annual income
- The fast-growing sector of professional employees on demand
- A lot of room for job development
- Satisfying and demanding day-to-day work that relies on problem-solving.
- A strong combination of professional work and human contact.
- Professional skills, such as scripting, can quickly be applied to many different professions.
- The flexibility of work-from-home.
- Lots of excellent learning resources — it's simpler than ever to learn everything you need to get a career in data analytics from the comfort of your house!
- Wide range of positions available in the industry.
Skills required for a data analyst job
Structured Query Language (SQL)
- The knowledge you have in our SQL courses will give you a strong base. Like Python, SQL is a reasonably easy language to understand. And if you're just getting started, a little SQL practice is going a long way.
Python
- Python is currently one of the most widely used programming languages. Having a strong understanding of how to use Python for data analytics is likely to be needed for several positions.
Data visualization skills
- Irrespective of the job direction you're looking at, being able to envision and share ideas relevant to the company's offerings and the bottom line is a powerful skill set that can transform employers' heads.
Read more: How to Build a Career in Data Analysis
