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In this video, we provide a comprehensive guide to becoming a successful Data Analyst. Learn about the essential skills, tools, and techniques needed to excel in this in-demand career. Discover how to analyze data effectively, interpret results, and make informed decisions that drive business success. Whether you're just starting out or looking to advance your career, this video is packed with valuable insights and practical advice. Watch now and take the next step in your Data Analyst journey. Remember to subscribe for more career tips and share this video with friends and family who might benefit.
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data analyst, career guide, data analysis, data analyst skills, data analyst tools, career in data analysis, how to become a data analyst, data analysis techniques, business intelligence, data science, data interpretation, career tips, data-driven decisions, career advancement, successful data analyst
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data analyst, career guide, data analysis, data analyst skills, data analyst tools, career in data analysis, how to become a data analyst, data analysis techniques, business intelligence, data science, data interpretation, career tips, data-driven decisions, career advancement, successful data analyst
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00:00DATA ANALYSIS, CAREER GUIDANCE THAT IS DETAILED
00:061. AGE AND EDUCATION CONDITIONS
00:09Being a data analyst does not only require technical expertise,
00:12but also a suitable background in education.
00:15Here are the age, education, and relevant faculties requirements.
00:20Minimum age, there is no specific minimum age limit,
00:23but generally companies prefer candidates who are at least 21 years old.
00:28Education, minimum degree S1 in the field involved.
00:32Relevant faculties, mathematics, statistics, computer science.
00:37Informatics techniques, economics, business.
00:402. SKILL AND KNOWLEDGE REQUIRED
00:43For success in the position of data analyst,
00:45there are several skills and knowledge that must be possessed.
00:49Technical skills, programming language control,
00:52Python, R, SQL.
00:54Software and tools, Excel, Tableau, Power BI, SAS.
00:59Statistics and mathematics,
01:01a strong basic understanding of data analysis.
01:04Non-technical skills, analytical ability,
01:07ability to understand and interpret data.
01:10Communication, able to explain data findings to non-technical teams.
01:14Problem solving, ability to find solutions based on data.
01:183. CAREER EXPERIENCE AND JOURNEY
01:20Career, experience, minimum,
01:221-2 years of experience in a position related to data.
01:26Ideally 3-5 years of experience.
01:28Career journey, 1. Junior Data Analyst, 0-2 years of experience.
01:342. Data Analyst, 2-5 years of experience.
01:383. Senior Data Analyst, 5-7 years of experience.
01:424. Data Scientist, 7-10 years of experience.
01:465. Chief Data Officer, CDO, more than 10 years of experience.
01:50To achieve the highest level such as Chief Data Officer,
01:53it takes about 10-15 years of relevant and continuous work experience.
01:584. Salary, minimum,
02:01Junior Data Analyst, 5 million rupiah, 10 million rupiah per month.
02:05Maximum, Chief Data Officer, 50 million rupiah, 100 million rupiah per month,
02:10depending on the company and location.
02:135. Duration to reach the position.
02:15To reach the position of Data Analyst,
02:17an average person needs about 2-3 years after graduating from university.
02:22To reach the position of Senior Data Analyst to Chief Data Officer,
02:26the required time can vary between 10-15 years.
02:306. Daily activities and work plans.
02:33Working hours, 08.00-17.00.
02:378-9 o'clock email checking and team communication.
02:4109.00-10.00 daily meeting with team for progress discussion and daily tasks.
02:4710.00-12.00 data analysis, report making, and data visualization.
02:5412.00-13.00 lunch break.
02:5813.00-15.00 continue analysis and data review.
03:0415.00-16.00 meeting with other departments for presentation of data findings.
03:1016.00-17.00 documentation and task planning for the next day.
03:16Work achievement target, weekly and monthly report completion.
03:20Increase efficiency of data analysis process.
03:23Provide actionable insights for business decisions.
03:26Work plan, weekly, weekly data review, team meeting to update progress.
03:31Weekly report, monthly, monthly data analysis.
03:35Presentation to management, new data project planning.
03:39Yearly, data performance evaluation.
03:42Data strategy development for the next year.
03:45Yearly report to the top management.
03:47Conclusion.
03:48A career as a data analyst offers challenges as well as great opportunities.
03:52From meeting age and education requirements,
03:54mastering various technical and non-technical skills,
03:57to a long career journey,
03:59this job promises competitive pay and a clear career prospect.
04:03With continued dedication and self-development,
04:06the highest position such as Chief Data Officer can be achieved.
04:09A dynamic daily routine, a clear work target,
04:12and a mature plan become an inseparable part of this profession.
04:16For those interested in data and have a high desire to know,
04:20the data analyst profession can be the right career choice.
04:36Microsoft Mechanics
04:38www.microsoft.com
04:40www.microsoft.com
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04:48www.microsoft.com
04:50www.microsoft.com
04:52www.microsoft.com
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04:56www.microsoft.com
04:58www.microsoft.com
05:00www.microsoft.com
05:02www.microsoft.com