Want to become a Data Analyst? Big data is set to have a market of $300 Billion in 2022 globally. Data-related roles such as data analyst, data scientist, data engineer, data architect are booming and IT companies are in a huddle to hire such people who are having skills for these roles.
One of the major attractions in these roles will be the salary component and the growth. Having tons of data is being collected every second, the data professionals are the need of the hour.
In this article, we will be talking about one of the fascinating careers in the data domain i.e**. Data Analyst**. We will be talking about the Data analyst roadmap in 2023.
In this article, we will be talking about different skills needed to be excelled to become a data analyst. I will be discussing the tools, skills, and the best certifications to show your excellence on these. Let’s roll!
Who is a Data Analyst
Simply, a data analyst’s role is to collect, process and perform analysis of large datasets.
Humongous volume of data is generated in this age which now has a term, Big Data. This data can be in the form of customer feedback, accounts, logistics, marketing research, and so on. A data analyst takes this data and figures out numerous measures, such as how to improve customer experience, price new materials, and how to reduce transportation costs, to name a few.
To put it in another words, Data Analyst is the one who turns this raw data into information in order to draw out meaningful, actionable insights. These insights are then used to help businesses make smart decisions. And these insights are then used by the companies in many ways ranging from forming marketing strategies to making improvements in the production process.
Want to work in data science? Consider these five steps:
- First, earn a bachelor’s degree in a statistical or analytical subject like math or computer science.
- Then, find out how to analyze data.
- Consider her
- Get your first data analyst job.
- Get a master’s in data analytics.
What Does a Data Analyst Do?
A data analyst collects, processes, and analyses massive datasets. They learn to use data to solve issues and answer questions. Data analysis has developed with the advent of computers and a growing reliance on technology. For example, with the advent of relational databases, data analysts could utilize SQL (pronounced “sequel” or “s-q-l”) to access data from databases.
The Annotated Job Description
Data analysts collect and sanitize data to find trends and business insights. The duties of a data analyst differ by company or industry. In addition, data analysts can develop and maintain relational databases and systems for several departments using business intelligence tools like Tableau and scripting.
Most data analysts consult with I.T., management, or data scientists to set corporate goals. They use basic statistical methods and methodologies to gather data from primary and secondary sources to interpret the results. They usually find trends, correlations, and patterns in large data sets, revealing new process improvement potential. Data analysts must also publish their findings and advise key stakeholders on the next moves.
Data Analyst Capabilities
Skills Required for Data Analysts
- (R/SAS): data analysts should be fluent in one programming language and have a working knowledge of others. Data analysts utilize R and SAS to collect, clean, analyze, and visualize data.
- Curiosity and originality are crucial traits of a competent data analyst. It’s critical to think creatively and analytically about difficulties. This will help the analyst develop research questions that allow the company to comprehend the issue.
- Data analysts must communicate their findings effectively to readers or a small team of corporate executives. Success requires clear communication.
- Effective data visualization requires trial and error. A successful data analyst knows which graphs to utilize for specific audiences.
- Back-end data analysts build a data warehouse from numerous databases and use querying languages to find and manage data.
- SQL databases are organized as relational databases. Data is kept in tables, and an analyst collects data from several tables to analyze it.
- Database Querying Languages: SQL is the most widely used database querying language, with several versions such as PostgreSQL and T-SQL.
- When data isn’t neatly organized in a database, analysts must gather unstructured data using different technologies. Then, once they have enough data, they program it.
- Advanced Excel: Data analysts should be proficient in advanced modeling and analytics approaches.
- BI Tools: Data visualization helps in conveying your story in simple words so that everybody can understand. Week 3 and 4 can be spent in learning BI Tools for data visualization.
- Statistics: The foremost skill required to become a good data analyst is Statistics. Statistical skills are crucial to interpret data correctly.
- Machine Learning: Machine learning experts are in high demand.
- Communication skills — To make others understand your data and findings, you need to present your data in a storytelling format with concrete results and values so that other people can understand what you are saying.
#Resources For Learning Data Analyst
Free courses offer a solid introductory baseline, with technical resources available to take you to the next level. Communities and newsletters can help keep you involved and up to date in the industry while helping you get to know interested peers:
Khan academy: https://www.khanacademy.org/math/statistics-probability
Khan academy YouTube: https://www.youtube.com/playlist?list=PL1328115D3D8A2566
Statistics by Marin : https://www.youtube.com/playlist?list=PLqzoL9-eJTNBZDG8jaNuhap1C9q6VHyVa
Statquest YouTube channel: https://www.youtube.com/user/joshstarmer
Advanced Excel Courses
SimpliLearn : https://www.youtube.com/watch?v=OOWAk2aLEfk
Datacamp course: https://learn.datacamp.com/skill-tracks/spreadsheet-fundamentals
kudavenkat playlist (first 16): https://www.youtube.com/playlist?list=PL08903FB7ACA1C2FB
khanacademy SQL course: https://www.khanacademy.org/computing/computer-programming/sql
Data Analyst Jobs
Data Analyst has different job positions, in which you can do different jobs, these posts have different tasks, in which you can work by choosing one position comfortably and you can work in many positions. But we can also work together, it is up to you, come let us tell you about some positions and their work,
1. Data Manager
To work on this post, along with storing the necessary data in the computer, the evaluation report of the data has to be prepared.
2. Data Visualizer
The person working in this position has to play an important role in detecting data trends and formulating data strategy.
3. Data Architect
The person working in which position is associated with keeping the data safe and designing the data or making the policy of the data.
4. Data Coordinator
The role of the person working in this post is important, whose job is to find the necessary data for the smooth running of any company, due to which they have to sit on the computer for hours and run their mind.
5. Business Analyst
Their task is to study the business related data closely and prepare a strategy to carry forward the business related to that data.
6. Business Intelligence Developer
Data plays an important role in taking any company forward. But collecting data also takes a lot of effort! Therefore, the person working in this post has to solve data related problems apart from collecting data, they work by keeping the data under their control.
7. System Analyst
The job of the person working in this post is to take care of the equipment used in the data analyst, solve the problems related to software and hardware in them.
Data Analyst Tasks
A Data Analyst’s Day
The day-to-day of a data analyst varies depending on their location and tools. For example, specific data analysts prefer statistics and Excel. Depending on the situation, some analysts use regression analysis or data visualization. Experiential data analysts are frequently referred to as “data scientists in training.” In certain circumstances, a data scientist may spend the morning generating queries and the afternoon exploring with database systems, Hdfs, and NoSQL.
How do data analysts work?
Other valuable tools for data analysts include:
- G.A. helps analysts evaluate customer data, trends, and areas for improvement on landing pages and calls to action (CTAs).
- To combine and analyze data, analysts use Tableau. They can construct dashboards and share them with others.
- Jupyter Notebook System: Jupyter notebooks make code testing easy. Because of the markdown feature, non-technical people prefer Jupiter notebooks.
- Tech projects can be shared and built on Github. Object-oriented data analysts must have
- AWS S3 is a cloud storage service. It can store and retrieve big datasets.
- Analyst Job Opportunities
Data Analyst Job Outlook
Today’s data analysts must be flexible. As a result, analysts’ jobs are becoming more complex. First, expert analysts employ modeling and predictive analytics to generate actionable insights. Then they must explain their findings to befuddled laypeople. That is, they must evolve from data analysts to data scientists.
Recent BLS data predicts market research analyst jobs will expand by 18% and management analyst jobs by 11%. With the growth of technology comes to an increase in data analyst positions. We are constantly collecting data, organizing it, and applying predictive analytics to help society improve.
Job duties determine pay. A senior data analyst with data scientist expertise can earn a premium fee.
Pay for a Data Analyst:
Salary for an entry-level data analyst: $83,750
AVERAGE DATA ANALYSIS SALARY
Senior data analysts make $118,750–$142,500.
Looking for a new job? More on bootcamps
Consider a Bootcamp if you want to change careers or improve your data analytics skills. Tech boot camps are intensive courses in specific programming languages like Python, R, or SQL. Online coding boot camps provide intensive learning experiences that simulate real-world tasks.
Attending a data analytics boot camp may help you prepare for a new work opportunity. Data analytics bootcamps often cover statistical analysis, data mining, and other tools data analysts use on the job.
Enroll in a data science Bootcamp. Bootcamps often address advanced analytical ideas, machine learning, NLP, and neural networks. Unsure which Bootcamp to attend? Think about your career goals and what you want to achieve in your current or next job.
Boot camps can span from a week to many months in part-time or full-time programs. It is possible to select a plan. Some boot camps provide pre-Bootcamp classes and workshops.
Frequently Asked Questions
- What is the job of a Data Scientist?
Answer – Their job is to preserve the data and bring them to the fore when needed, in this they demonstrate with the help of maths, programming skills.
- What is the scope in data analysis?
Answer – There is a lot of scope in this field, if you want, you can make a good income by making a career in it.
- After doing these courses, will we get jobs in foreign countries as well?
Answer – After doing these courses, if you want, you can work in foreign countries also, there is a lot of demand for their posts in foreign countries too.
- What can be asked in the interview of Data Analyst?
Answer – While preparing for the interview of Data Analyst, work on your
1) technical skills (database, SQL, Python)
2) business skills
In this article you learned how you can become a data analyst. Becoming a Data Analyst is not an easy task but becoming a Data Analyst can also be done if you take the right steps at the right time. If you have any query related to Data Analyst then you can ask us in the comment section. You can also tell us what is missing in this article, which according to you we should have included in this article.