The Ultimate Guide To DATA ANALYST

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Data analysts are responsible for analyzing data and communicating the results of that analysis back to business owners, advertisers, and other stakeholders. They work in all types of industries, but their primary focus is on collecting and organizing data of master technology group. Their responsibilities could include reporting on the status of a product or a service based on pre-existing models; developing new models to assess how well a product or service is working; and adjusting the existing model when necessary.

As you can see from this article, data analysts are by no means an easy career path — they have demanding duties that require both analytical ability as well as strong communication skills.

1. HIGH SCHOOL

A data analyst will typically hold an advanced degree, but college-level coursework is not necessary to land the job. A bachelor’s degree in computer science or mathematics is often required, with a focus on statistics and models of one kind or another. Because a data analyst needs to communicate his findings with other people — and because mathematical processes can be difficult for non-experts to understand — it is also important to take courses in English and communication.

This job requires a lot of reading, so it is important that the candidate has a sharp eye for detail and proofreads carefully. There are so many statistics and formulas involved in this field that the candidate should also have strong critical thinking skills.

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While the official degree and coursework are important, the candidate should work on building career and technical skills in high school. Specifically, they should learn computer programming languages, like Java and C++; basic accounting skills; business management skills; and how to do research.

2. ON-THE-JOB TRAINING (OJT)

After receiving a bachelor’s degree, data analysts are likely to undertake post-graduate study either within the company or at another university. This might last for a couple of years — half of which will be spent learning fundamental concepts about data analysis and statistics, while the other half is spent on practical training that teaches these new concepts in a real-world context.

A data analyst will also receive training on the company’s specific systems, like Oracle, SAP, or another database management system. They may study programming languages that are commonly used by data analysts and statisticians — like R or SAS — at a technical college. A good place to start is here  which is the training resources page for Amazon Redshift.

Other OJT will include learning how the business works and which models they use to assess success or problems. This last piece of OJT is usually conducted in a classroom setting and includes lectures from both internal employees and external professors who specialize in this type of training.

3. PRACTICUM/EXPERIENCE

A data analyst is usually hired as part of a team, and these teams will often be paid per project. When a data analyst joins the team, they’ll receive training in the company’s models and system — as well as any other skills like Excel programming or database management that are required.

They will then go through several projects on the job: learning how to use the company’s model(s) on a small scale; building models for other employees and then using those models to assess their work; batch-processing data sets that are large enough to be worth analyzing; and finally, implementing their own models and strategies from scratch.

When they’ve completed several projects on different levels within the company, this person is ready for promotion. This new project would be a continuation of the previous one, with the same team managing it, though they’d be working on large-scale data sets. At some point they’ll decide that they are ready to start managing their own projects — and then negotiations will follow.

4. SALARY 

Because data analysts must have financial skills and the ability to write reports for their supervisors, salary is often a major factor in deciding which organizations to join. At large companies this might mean quite a bit of money, with bonuses for great performance and high-level qualifications.

However, small businesses can offer more rapid advancement and greater stability than big corporations — so there might not be as much of an incentive for salary negotiation at these places. In fact, it’s not uncommon to see the candidate’s salary fixed after hiring, which can be frustrating if they have negotiating experience.

As for how much these professionals make, the average salary is $81,000 per year as of 2013. This number varies widely depending on the company and industry.

5. WORK ENVIRONMENT 

Data analysts work in an office environment and spend a great deal of their day on a computer screen. Depending on where they work, they might also have to communicate with other analysts over email or via video chat; this could be one-on-one or in small groups during meetings with senior staff members.

While their work is largely behind a computer and involves a lot of writing, it does require making frequent decisions during the data analysis process. These people also need to be able to think creatively and come up with original solutions.

All in all, a typical day at work involves staring at a computer screen while thinking hard about how to solve problems. They’ll probably use different sources of data — like spreadsheets or databases — but this data is usually arrived at through surveys or interviews. If they are managing projects they may meet with other analysts and supervisors to discuss their strategy; this may happen 1-on-1 or in larger meetings.

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