データアナリストへ転職する際の志望動機の例文|ポイントや注意点なども解説Example of motivation for applying for a new job as a data analyst|Explanation of points and cautions.

The motivation for applying for a job is an important aspect of a company's interest in an applicant. Many people, especially those considering a career change to data analyst, may wonder how to write a motivation.

In this article, we will show you how to write an effective motivation for applying for a new job as a data analyst and provide specific examples. We will also explain the knowledge and skills required of a data analyst, as well as useful qualifications.

A data analyst is a position that collects and analyzes user data and system performance data, and uses the results to make proposals based on the client's issues and needs.

The same data analysis specialists also include data scientists, but data scientists analyze big data using statistics and machine learning and perform more advanced data analysis.

Data analysts, on the other hand, understand the specific challenges and goals facing a company and devise data-driven solutions and strategies based on them. Examples include analyzing consumer behavior to improve sales or reviewing operational data to reduce costs. The focus is then on applying the results of the analysis to the company's business.

Job Description of a Data Analyst

Data analyst jobs can be broadly categorized into two types: consultant-type and engineering-type. Each role has different characteristics.

Consultant-type data analysts are primarily responsible for collecting, processing, and analyzing data related to a company and proposing solutions to issues based on the results. They are also responsible for verifying the effectiveness of the proposed measures after they are implemented.

On the other hand, engineering-type data analysts build and improve systems based on the results of their analysis in order to improve the quality of services. This work involves investigating trends and patterns of consumer behavior shown by data, and developing and improving specific systems.

The work of a data analyst goes beyond mere data collection and analysis. First, they clarify the issues and plan what kind of data to collect and analyze to address them. Next, they collect, organize, and analyze the necessary data.

In addition, we may visualize the data using graphs and charts to make it easier to understand the relevance of the issue and the results of the analysis. Finally, the basic job description is to report the results of the analysis to the company and propose strategies and measures based on the results to support business decision-making.

The motive for applying for a job is an important item that conveys your desire to join the company to which you are applying. The following are some points to consider when writing your motivation for changing jobs to become a data analyst, so that you can use them as a reference when preparing your resume.

Be specific about why you want to change jobs

In your motivation for applying for a new job, it is important to specify the specific reasons why you wish to change jobs. The “motive for applying,” which indicates why you chose the job or company, and the “reason for changing jobs,” which indicates why you decided to change jobs, are interrelated elements, although they have different meanings.

Reasons for changing jobs tend to be motivated by dissatisfaction with the previous position, but it is important to replace this with positive expressions to avoid giving an overly negative impression.

It is also important to be specific about why you chose to become a data analyst out of all the other jobs available. By clearly explaining why you are suited for the position, you can strongly appeal to the company. To this end, make sure you have a deep understanding of the data analyst job description and can communicate your motivation.

Clarify why you must work for that company.

When writing your motivation, it is important to also clearly convey why you must work for that company. Companies are looking for people who can contribute to their company. Therefore, you need to convincingly show why you chose that company from among many job offers.

First, carefully analyze the characteristics and areas of expertise of the company you are applying to. Then, compare the company with other companies in the same industry and organize why you were interested in the company and what episodes led you to apply for the job, which will make your reasons for applying more concrete and convincing.

Describe the skills and experience you can apply to the data analyst role.

Companies are looking for people with skills and experience that can be applied to the data analyst role. Therefore, in addition to stating your reasons for applying, it is important to highlight specific skills and experience that can be applied to the data analyst role.

If you lack the necessary skills and experience for the job, you may need to undergo training after joining the company. Skills and experience are likely to be important, especially in companies that seek immediate employment. Therefore, it is important to clearly demonstrate your skill level.

In addition, if you have qualifications that are useful as a data analyst, you can objectively prove your skill level and increase your chances of being evaluated if you also describe the efforts and experience you developed in the process of acquiring those qualifications.

Show that you can contribute to the company.

Your personal statement should also show how you can contribute to the company you are applying to. If what you can do does not match the role the company is looking for, there may be a mismatch. In addition, companies try to judge the seriousness of an applicant's application by looking at how well he or she understands the role the company is seeking.

Therefore, after conducting thorough company research and understanding the role the company is seeking, consider how you can contribute to the company by utilizing your skills and experience.

Show that you are always willing to continue learning after joining the company.

In your motivation for applying, also emphasize your attitude of continuing to learn after joining the company. Rather than simply saying “I want to work as a data analyst,” companies tend to value highly those who have a clear career plan and a willingness to continue learning.

Data analysts are required to have a wide range of skills, including data collection and analysis. In addition, because information and technology evolve on a daily basis, they are required to constantly update the skills they have acquired and adapt to the latest environment.

Therefore, you should have a clear vision of the kind of work you want to do as a data analyst and the kind of data analyst you want to become in the future, and include in your motivation for applying that you are always willing to continue learning to achieve your vision.

If you are unsure about writing your motivation, please consider consulting with United World. United World” offers job postings for those seeking a career change to data analyst. For more information, please click the link below.

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Here are some examples of motivation for changing jobs to become a data analyst. Please refer to both good and bad examples to get an idea of the motivation for your application.

Good example: Example of a motivation for applying for a job (1)

I have been conducting marketing research and data analysis of readers and markets at XX Corporation, a marketing support company, and have provided useful information that leads to business decisions for clients based on the results of data analysis. Some of the projects I have worked on have increased business performance by more than 50% in the five years since their launch.

The reason why I have applied to work for your company is because I share your management philosophy. I empathize with your attitude that your clients' success is your greatest wish and that you will continue to provide services to help them realize their dreams. I myself strongly believe that I would like to do work that is useful to society through my experience in marketing support. I believe that my experience in supporting clients through data analysis work can contribute greatly to your business. After joining the company, I will always contribute to your company's performance expansion in terms of data analysis work.”

In this example, while showing his/her experience and specific achievements, the applicant emphasizes his/her empathy for the company and the contributions he/she can make after joining the company. By giving specific details of your experience and achievements, this example sentence gives the company an idea of the kind of role you can play after joining the company. By showing which aspects of the company you empathize with, you can also clearly convey the reason for your application.

In addition, “I want to contribute to solving social and corporate issues” and “I was shocked when I experienced the technology” are also effective motivations for applying that will give a good impression to the company.

Bad example: Example of a motivation for applying for a job

I am good at programming, and I am confident in my knowledge of mathematics, statistics, and SQL.
I am interested in your company because I believe that data analysts will be in high demand, and I wanted to apply for the position.

I also find your company attractive because of its incentives and high salary. I do not feel that working on data analysis is a hardship, and I believe I can contribute to your company by demonstrating my abilities once I join.”

In this example, you indicate your strong skills and knowledge, but do not mention specific achievements or how you can contribute to your company. As a result, it is vague about how you will work after joining the company, making it difficult to determine whether you are the kind of person the company is looking for.

Furthermore, the fact that the reason for applying is “high demand” or “high salary” may also give an unfavorable impression to the company. It is important to clearly state what you hope to achieve as a data analyst, rather than passively saying, “I want to become a data analyst.

However, you can make a good impression about your reasons for applying regarding salary by being creative. For example, you can show your sympathy for the company's policy by stating, “I sympathize with the company's attitude of giving appropriate evaluation based on performance.

Working as a data analyst requires a variety of knowledge and skills. If you have already acquired the necessary skills for the job, your job search may be more advantageous. Here are some of the knowledge and skills required of a data analyst.

Knowledge of data analysis and statistics

As a data analyst, basic knowledge of data analysis is essential. Specifically, the following knowledge is required
 

• Types of data, including structured and unstructured data
• Data preprocessing such as cleaning, integration, and transformation
• Descriptive and inferential statistics

In addition, knowledge of statistics is also important. An understanding of statistics will enable you to find patterns behind the data and extract meaningful information. Particularly required knowledge includes the following
 

• Probability distributions such as normal and Poisson distributions
• Hypothesis testing such as t-tests and chi-square tests
• Regression analysis, including single and multiple regression analysis

These statistical methods should be used according to the purpose of the analysis. For example, hypothesis testing is used to verify the effectiveness of new marketing initiatives, while regression analysis is used to identify factors that affect sales and to build predictive models.

It is important to have a deep understanding of statistics so that you can choose the appropriate analysis method for your purpose.

Data Extraction and Processing Skills with SQL

SQL is a language for manipulating databases and is used to search and insert data, etc. SQL is an international standard and can be used with most databases, making it one of the most widely used database languages.

SQL skills commonly used by data analysts in their work include
 

• Data extraction using SELECT statements
• Narrowing and aggregating data using the WHERE and GROUP BY clauses
• Multiple table merging using the JOIN clause
• Applied techniques such as subqueries and window functions

SQL skills enable efficient extraction of necessary information from large amounts of data. SQL is also an indispensable technology in data processing tasks such as data preprocessing and aggregation.

Data visualization skills using Excel and BI tools

Data analysts are also required to have the skills to visualize data in an easy-to-understand manner in order to effectively communicate analysis results. Specifically, by utilizing Excel and BI tools, data analysts need to be able to visually express analysis results using graphs and charts.

For example, the following skills are important to be proficient in Excel
 

• Aggregating multidimensional data using pivot tables
• Visualizing data using graph functions
• Highlighting data using conditional formatting

In addition, BI tools (e.g. Tableau and Power BI) are designed to analyze, visualize, and share a variety of corporate data. Specific operational skills are required to use these tools to visualize data and create reports and dashboards.

Business understanding and communication skills

The data analyst's job is to understand business issues, analyze data based on those issues, and use the results of the analysis to support decision making. To achieve this, business understanding and communication skills are important.

Business understanding skills are essential for accurately understanding the issues and goals facing a company and gathering and analyzing the necessary data. Excellent communication skills are also required to listen to the concerns of the company and effectively communicate the results of the analysis.

When communicating, you need to use charts and graphs to present the results of your analysis in an easy-to-understand visual manner, avoid jargon, and answer questions clearly.

Logical thinking and problem-solving skills

In data analysis, you are often faced with complex problems, so you must be able to think logically and solve problems efficiently. In particular, the following abilities are required
 

• Ability to identify issues from data
• Ability to theoretically find conclusions based on data
• Ability to formulate and test hypotheses
• Ability to decompose complex problems and find solutions

Having a certification that is useful for data analyst work can prove your knowledge and skill level. Therefore, it may be advantageous for you to change jobs. Here are four qualifications that can be used for data analyst work, so please refer to them if you are considering acquiring qualifications.

Statistics Certification Examination

The Statistics Certification Examination is organized by the Japan Statistical Society to certify knowledge and skills related to statistics. This exam evaluates statistical knowledge and analytical skills, and requires the ability to objectively and accurately identify issues and solve problems based on data.

In particular, knowledge of statistics is essential for working as a data analyst. Those who aspire to become an engineering-type data analyst should consider obtaining this certification as a priority.

There are several levels of statistical certification: Level 4, Level 3, Level 2, Level 1, and Level 1. If you want to prove your knowledge of advanced statistics, we recommend that you aim to obtain Level 2 or higher.

There are also other types of statistical certificates, such as statistical surveyor, specialized statistical surveyor, and data science (basic, advanced, and expert). The statistical surveyor and professional statistical surveyor exams specialize in statistical research and measure the skills needed to apply statistics to business. The Data Science exam tests data analysis and implementation skills using Excel and Python.

Reference: Statistics Exam

Oracle Master

The Oracle Master is a certification examination on databases offered by Oracle Corporation of Japan. Through this exam, you can prove your basic knowledge and SQL operation skills required for “Oracle Database” developed and marketed by Oracle Corporation.

There are the following five certifications for Oracle Master.
 

1. Bronze DBA
2. Silver DBA
3. Gold DBA
4. Platinum DBA
5. Silver SQL

Of these certifications, attaining Silver or higher demonstrates that you have world-class knowledge and skills. If you want to prove your extensive knowledge and practical skills especially in SQL, you should aim to obtain Silver SQL.

Reference: Oracle Master

OSS-DB Technician Certification

The OSS-DB Engineer Certification is a certification for engineers related to open source databases, which is conducted by LPI-Japan, a non-profit organization. The certification requires knowledge and skills to utilize “PostgreSQL” released by LPI-Japan, and successful candidates will be certified as OSS-DB Engineers.

The certification exam is divided into two grades, OSS-DB Silver and OSS-DB Gold, with OSS-DB Silver testing basic knowledge of PostgreSQL installation and setup. OSS-DB Gold, on the other hand, is a higher level certification than Silver and certifies more advanced knowledge and skills, such as practical operation and response to problems that may occur.

Reference: OSS-DB Engineer Certification

Information Processing Engineer Examination

The Information Processing Engineer Examination is a national examination administered by the Minister of Economy, Trade and Industry, and certifies the knowledge and skills of an information processing engineer. This exam is not a specific IT product or software-specific exam like the Oracle Master or OSS-DB Engineer Certification. Instead, it tests a wide range of IT-related topics, including basic principles and fundamental knowledge of information processing technology.

By passing this exam, you can objectively prove your IT skills, which are usually difficult to see and assess. Possessing a broad range of IT knowledge will give you a competitive edge and will also give you an advantage in your job search.

Reference: Information Technology Engineer Examination

For those considering a career change to data analyst, we have introduced how to write a motivation letter and the skills required. When writing your motivation, keep the following three points in mind
 

• Why are you interested in working as a data analyst?
• Why did you choose the company you are applying for?
• What skills and experience can you contribute to the company?

It is important to summarize your motivation in an easy-to-understand manner based on these points, and to make sure that the content is convincing to the company.

If you are unsure about writing your motivation, we also recommend that you use our job search support service. United World” introduces job openings to those seeking a career change as a data analyst. In addition, dedicated career advisors are available to support your job search. They can give you advice on how to write your motivation and career plan, so you can proceed with your job search with peace of mind.

If you are considering a career change as a data analyst, please click the button below to contact us. We will support your job change with our full support system.

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career change.