データアナリストが転職する際の職務経歴書の書き方を解説!例文も紹介Explains how to write a resume for a data analyst changing jobs! Example sentences are also introduced.

When considering a career change as a data analyst, the “resume” is extremely important. In order to effectively communicate your experience, skills, and accomplishments to hiring managers, you need to write in an appropriate manner for the position.

In this article, we will explain in detail how to write a resume that data analysts should keep in mind when changing jobs. We also introduce specific examples, so if you want to succeed in your new job, please take advantage of this article.

We will now begin by detailing the following seven items that a data analyst should include in his or her resume at a minimum.
 

• Title
• Summary of duties
• Work experience
• PR points
• Experience, technology, and tool environment
• Qualifications/Skills
• Self-Promotion

Title

At the beginning of the first page of your resume, begin with the title “Curriculum Vitae” in bold letters. The date and name should be placed in the upper right corner, and the date should be the date of submission or mailing. The date can be in either Western or Japanese calendar, but it is important to keep the format consistent throughout the document. In particular, make sure that the format of the date is consistent with the years of your work history and qualifications.

The title, date, and name are the first parts of the document that HR personnel will see. If there are errors or inadequacies here, you risk not having them read through the entire document and creating a bad impression.

Furthermore, if the name is difficult to read, it is more helpful to put furigana ( ) after the kanji character.

Job Summary

The job summary is an important section that briefly summarizes your career to date. Include your years of experience as a data analyst, your main job responsibilities, areas of expertise, skills you have focused on, and tools you have used.

In the job summary, you are expected to convey your strengths and how you can contribute to the company in a straightforward manner. If you have multiple work experiences, it is a good idea to focus on those experiences that are relevant to the position for which you are applying.

If your resume is too long, it may give the impression that you cannot organize your main points, so it is important to keep it simple and to the length of about 250 words.

Work Experience

In the work history section, it is important to provide clear and concise information about your past work experience. Include the full name of the company, the length of time you worked there, the roles and positions you held, the specific tasks you performed, and the results you achieved. Be sure to organize your resume in an easy-to-read format, using bullet points so that the hiring manager can quickly grasp the important points.

There are three typical formats: “chronological,” “reverse chronological,” and “career.
 

• Chronological format: Describe your work history in chronological order from oldest to youngest.
• Reverse chronological order: Describe your career history from the newest to the oldest.
• Career format: Describe each career separately by job title, industry, and job description.

The most common format is the “chronological” format, but you should choose the format that best suits your career. The key points for choosing the best format are as follows
 

• If you want to present an overall picture of your career: use the chronological format.
• If you want to showcase your most recent achievements: reverse chronological order
• If you have acquired one skill at multiple companies or divisions: Career format

PR Points

When writing your work history, it is important not only to list your work, but also to show how you have made efforts to achieve results.

By clearly demonstrating why you were able to achieve the results you did and what actions you took in the process, it will be easier for the hiring manager to get a more concrete picture of your career.

Experience, Skills, and Tool Environment

While the skill level required for each new position will vary, having extensive knowledge in the field of data analysis is an important evaluation point. Therefore, it is important to be as specific as possible in describing the tools and software you can handle to meet the needs of the company you are applying to.

For example, if you are aiming to become a data scientist, which is a higher level from data analyst, you are more likely to make a good impression if you show your knowledge of programming languages and machine learning in addition to your data analysis and statistics skills.

Furthermore, if you have specialized experience in a particular industry or field, highlighting this will help you communicate your strengths more effectively.

Qualifications and Skills

In the qualifications section of your resume, list your current qualifications by their official names in the order in which they were obtained or passed. It is common practice to use the following notations for qualifications
 

• When a license or certificate is issued: “acquired
• When a certificate is issued: “passed
• Certificate is issued for a qualification or course: “Certified”.

If there are no qualifications or licenses that can be listed, it is important to state “none in particular” instead of leaving it blank. Leaving it blank may be misunderstood as forgetting to write it down or may give the impression that it is a clutter.

If you have a qualification that you have not yet obtained but are awaiting results or plan to obtain, it is a good idea to state “planning to obtain 00 qualification” or “planning to take 00 qualification in 00 year 00 month” to make a good appeal. However, the basic rule is to list qualifications you already possess in the “Qualifications” column. It is safer to list qualifications that you plan to acquire or expect to acquire in the self-public relations section.

Self-PR

The self-promotion section is one of the most important sections of the resume. In this section, you should specifically present your strengths, skills, and attitude toward work, and show how you can contribute to the company to which you are applying.

Narrow your PR points down to two or three, and briefly summarize each in about one line. After that, provide three to five lines of specific episodes or examples to support your points, which is both easy to read and effective.

There are several points to consider when a data analyst is preparing a resume for a position. Here are four particular points to be aware of.

Describe your analytical skills and accomplishments as specifically as possible.

In your resume, you are expected to describe your analytical skills and accomplishments as a data analyst in as specific a manner as possible.

For example, describe in detail the analytical methods and tools you have used (e.g., Python, R, SQL), the results achieved in projects you have been involved in (e.g., sales improvement, cost reduction), and your track record of supporting decision-making based on data.

Details will help the hiring manager visualize how the applicant's experience will help them in their new position. Be careful not to include ambiguous information in your resume, as it risks being deemed unreliable.

Be sure to list any certifications you have obtained.

To demonstrate your expertise and skills as a data analyst, be sure to list any certifications you have acquired on your resume. Qualifications are important information that supports your abilities.

However, one thing to keep in mind when listing your qualifications is the order in which they are listed. If there is a qualification that the company you are applying for places a high priority on, you may want to list it first, but generally, qualifications should be listed in order of the year and month in which they were acquired.

However, there is no need to list qualifications that are not required by the company to which you are applying or that you do not particularly want to emphasize.

Describe in detail your history of using tools and software that you can make use of after changing jobs.

As a data analyst, your experience using specialized tools and software will be a great advantage when you change jobs to other positions. Therefore, it is important to be specific about the extent to which you can utilize the tools, rather than just stating the duration of your experience.

For example, rather than stating that you “can operate databases,” it is better to state that you “have experience using SQL to create complex queries to extract and analyze big data,” which will give the hiring manager a more concrete picture of your suitability for the job.

In addition, by specifically indicating how your skills will be useful in the company or industry you are moving to, you will strengthen your appeal point. For example, stating, “I have experience using Python to automate data analysis to significantly improve operational efficiency,” will help employers better visualize how your skills can contribute to their company.

Include a resume that demonstrates your ability as a business person.

In addition to your technical skills as a data analyst, it is important to include your accomplishments as a business person in your resume.

For example, show specific skills that you have demonstrated in a business setting, such as project management experience, team leadership roles, and customer negotiation and presentation skills.

If you have changed jobs frequently, it is also important to be consistent in your work history. By making each job description relevant, you can create consistency throughout your career and convince the hiring manager that you are the right person for the job.

At United World Inc., we support people who want to advance their careers from data analyst. If you have any questions or concerns about your career history, please feel free to contact us.

Talk to United World about 
career change.

For those who are considering changing careers to other positions based on their experience as a data analyst, qualifications are an important factor in objectively proving one's skills and knowledge.

Here are four qualifications that are particularly valued by data analysts when changing jobs.

Statistical certification

The Statistics Certificate is a nationally standardized exam that measures statistical knowledge, which is the foundation of data analysis. By obtaining this certification, you can not only prove your statistical processing ability as a data analyst, but it can also help you change jobs to more specialized positions such as data scientist or business analyst.

In particular, data-based decision making is emphasized in the business world, and statistical certification is highly valued by many companies.

The examinations are divided into levels from Level 4 to Level 1, and to emphasize your expertise as a data analyst, it is desirable to have at least a Level 2 certification.

Statistics Certification

Oracle Master

Oracle Master (ORACLE MASTER) is a certification that certifies knowledge and skills related to the world-renowned database software, Oracle Database. This certification is divided into four levels: “Bronze,” “Silver,” “Gold,” and “Platinum,” with each level requiring a different level of knowledge and skill difficulty.

Although the Oracle Master is not a national certification, it is highly regarded throughout the world and is comparable in value to a professional official certification.

As a data analyst, a Bronze level certification is sufficient to prove basic knowledge of RDB and SQL. On the other hand, if you want to become a data engineer or data scientist, a certification at the Silver level or higher will demonstrate a higher level of practical skills and will give you an advantage when hiring.

Oracle Master

OSS-DB Technician Certification

The OSS-DB Technician Certification is a certification that certifies technical skills in open source databases, with a particular focus on PostgreSQL. There are two levels of this certification: “Silver” and “Gold”. The “Silver” level requires basic skills in building small databases and SQL, while the “Gold” level requires advanced administration and operation of large databases, as well as knowledge of performance tuning.

If a data analyst is considering a career change to data engineer, data scientist, or business analyst, including this certification in his or her resume will enhance his or her chances of being considered by hiring managers.

OSS-DB Engineer Certification

Information Technology Engineer Examination

The Information Technology Engineer Examination is a national certification that certifies expertise and skills in the IT field and is administered by the Ministry of Economy, Trade and Industry.

These exams range from the Basic Information Technology Engineer Exam and the Applied Information Technology Engineer Exam, which certify a wide range of IT skills, to more advanced exams such as IT Strategist, System Architect, Project Manager, and Database Specialist, which focus on specific fields.

In particular, the Basic Information Technology Engineer and Applied Information Technology Engineer examinations are certifications that can objectively prove the IT and marketing knowledge required of a data analyst. As such, they are often advantageous in job change activities.

Furthermore, if you have passed the Database Specialist Examination or the Project Manager Examination, which are considered to be among the most difficult of the information processing engineer examinations, you can expect to be able to change jobs at favorable conditions as a highly valuable and rare talent.

Information Processing Engineer Examination

Below is an image of a complete data analyst resume. Please feel free to customize it to suit your own experience and skills.

We have explained in detail how a data analyst should write a resume when changing jobs.

While we have introduced several points to consider when writing a resume, the most important thing to remember is that it should be easy for the hiring manager to read and convey your strengths and attractiveness in a concise manner. You do not need to incorporate all the points at once. Start with the areas you feel you want to improve and gradually increase the level of perfection.

United World Inc. supports those who aim to advance their careers from data analyst. We provide assistance in creating a professional resume, advice on skill development, and consultation on issues related to job change activities. If you are considering a career change, please click the button below to contact us.

Talk to United World about 
career change.