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Data Analyst Resume Sample for 2024 [Entry Level to Senior]

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26th Dec, 2023
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    Data Analyst Resume Sample for 2024 [Entry Level to Senior]

    Do you want to work on data and technology both? There is no better option other than being a data analyst. Data analysis is considered to be one of the most sought-after technology roles. As the number of business operations increases, businesses need to use all their data sets effectively to make the right decisions. A data analyst comes into the picture and helps businesses process, analyze, and turn the data into meaningful insights.

    Hence, almost all businesses are looking for highly skilled data analysts in today's world. However, being in demand, the job role also possesses huge competition. Therefore, all aspiring candidates must do a great job of proving themselves in front of employers. A well-curated data analyst resume is what can help you to grab employers' attention. In this article, we have come up with a data analyst resume writing guide for all the aspiring data analysts out there. Starting from a fresher level resume to an experienced level, we have covered it all. So, without wasting your time, let's come to the primary point of discussion.

    Best Data Analyst Resume Sample Format For 2024

    As it is said, 'the first impression is the last. Your resume is something like a golden ticket that may either make or break your image in front of employers. Therefore, no matter whether you are a fresher or an experienced professional, a systematically formatted data analyst resume is what can help you to land your dream job.

    There are three most common resume formats: Reverse Chronological, Functional, and Combination. All these resume formats come with their pros and cons. This article will help you choose the perfect one based on your profile (fresher or experienced).

    Data Analyst Resume Sample for Fresher/Entry-Level

    If you are a fresher, a functional resume format would be the best fit for you. This is because this type of resume format helps you to highlight your skill sets more rather than focusing on your work experience. Here is what a functional resume format looks like:

    1. Contact Information

    In the first section, you need to mention your contact information, including your name, phone number, email, location, etc. You may also include useful links to your LinkedIn profile.

    2. Objective

    In this section, you need to include a brief of 2 to 4 sentences summarizing your work experience or objective for the given position.  

    For example: 

    Skilled data science professional looking forward to leveraging my expertise in [relevant skills] to fill your data analyst position. An intuitive worker aims to achieve [Company’s Name]’s goals and take on more responsibility whenever needed. 

    3Professional Title 

    This section must include the exact position name you are applying for. Adding the relevant keywords may also be helpful here. For example, assistant, specialist, junior, apprentice, junior, etc. 

    4Skills Summary 

    This section comprises all your relevant skill sets for the position you are applying for. Also, make sure to mention a summary of the same. You can check out this Data Science online training if you want to build more data analysis skills.   

    5Additional Skills 

    If you have some extra skills other than what is required for this job role, you can add them in this section. You can also add all your achievements. 

    6How to Correctly List your Education? 

    According to Indeed, the most relevant educational information you can put on your resume are-   

    • The name and location of your school,   
    • The degree you attained,   
    • Your field of education,   
    • Your graduation year,   
    • Your GPA (if it’s above 3.4),   
    • Any academic honor, recognition, activities, or assignments.   

    Generally, recruiters look for any relevant educational background necessary for the job posting. In this case, any education that enhances your skills as a data analyst is appropriate. Thus, you should list every intricate detail that showcases your educational information related to this background. 

    7Interests 

    Last but not least, always make sure to add all your hobbies, interests, portfolios, projects, etc., at the end of your resume. This will increase your chances of getting shortlisted by most employers. 

    Data Analyst Resume Sample for Experienced 

    Are you an experienced data analyst professional looking for more opportunities and career growth in this field?  

    If you are someone with heavy work experience, that is, more than 3 to 4 years, the Reverse Chronological resume format is the one that would suit best for you. A reverse chronological resume format highlights your work experience at the top and is considered an ideal resume format for experienced professionals.  

    On the other hand, if you are someone with less than two years of work experience, you can also opt for the combination resume format. The combination resume format will help you to maintain the exact balance between both your skills as well as work experience. 

    A) Reverse Chronological Resume Format 

    1. Contact information 

    Most importantly, your contact information needs to include your name, physical mailing address (including street address, house number, block number, city, state, zip code, etc.), email id, phone number, etc. 

    2. Objective 

    While writing the career objective in resume, make sure to match your skills to the job description showcasing your work experience. Here, you can also describe how your skills and experience can add value to the respective organization. 

    3. Professional title 

    For this section, you need to add the job title you are applying for. Using keywords such as analyst, programmer, developer, etc. may be useful here.  

    4. Work experience 

    Your work experience needs to include relevant and precise information about your job history. In this section, you can mention your previous employers, job location, skills and responsibilities. 

    5. Skills Summary 

    Many employers nowadays are looking for a balanced combination of both hard skills and soft skills. Add your skills after reviewing the job description.

    Data Analyst Resume Skills Summary

    Source: novoresume.com

    6. Education 

    In this section, you can add your school/university name, location, degree, the field of study, graduation year,  academic honors and awards. 

    7. Interests 

    Adding this section is not mandatory. However, nowadays, many companies tend to prefer candidates who are passionate about all their actions. So, adding your interests or hobbies relevant to the job description may increase your chances of getting hired. 

    B) Combination Resume Format 

    1. Contact Information 

    The contact information remains the same for all types of resume formats. 

    2. Objective 

    Add 2 to 5 sentences about your professional background as an introduction to your resume. Mentioning your career highlights and achievements will be helpful. 

    3. Professional title 

    This section also remains the same for all kind of resume formats. 

    4. Skill Summary 

    Get started by listing all you must have skills relevant to this job. This section is very useful for those who want to switch careers.  

    5. Additional Skills 

    Review all the skills required for the data analyst job role you are applying for, and mention all the skills that you missed mentioning in the skills summary section. 

    6. Work Experience 

    Your work experience section needs to tailor to the job role you are applying for. for. Focusing on you achievements instead of skills will make you stand out here.  

    7. Education 

    Fortunately, this section also remains the same for all kinds of resume formats. 

    8. Interests 

    As the combination resume focuses more on skills and work experience, there is no room left for this section and hence, it is considered an optional section.  

    Among all these three, the reverse chronological resume format is considered the best ideal data analyst resume sample format for 2024. This resume format is well-known by all employers and almost every resume tracking system. 

    Data Analyst Resume Example

    In this section, we have showcased the ideal data analyst resume samples for both entry-level data analyst roles and experienced-level data analyst roles. You can check out the templates for both roles below: 

    1. Data Analyst Resume Template for Entry-level 

    For freshers and beginners, here is a data analyst resume entry-level sample template.

    Data Analyst Resume Template for Entry-level

    Source: beamjobs.com

    2. Data Analyst Resume template for Experienced 

    For working professionals, here is another data analyst resume template.

    Data Analyst Resume template for Experienced

    Source: beamjobs.com

    Data Analyst Resume Templates

    Download a Data Analyst resume PDF here: 

    1. Data Analyst Entry-Level 
    2. Data Analyst Mid-Level 
    3. Data Analyst Senior-Level 

    Top 17 Skills for a Data Analyst Resume

    To nail your data analyst resume, you ought to have these specific skills mentioned in your resume-   

    • Logic & Analysis  
    • Problem-solving and troubleshooting  
    • Relational databases (MySQL)  
    • Statistics & Probability  
    • Tableau & Qlik  
    • Data Mining and Data QA  
    • Business Intelligence (BI)  
    • Programming Languages  
    • Database Origin and Management  
    • Sharepoint and Advanced Microsoft Excel Functions  
    • Tech Support  
    • Regression Analysis  
    • Data Science Research Methods  
    • Data Warehousing  
    • Quantitative Methods   
    • Survey Creation  
    • Experimental Design & Analysis  

    You can also include your Big Data certification course in your resume if you have any. 

    Dos and Don'ts in Building Data Analyst Resume

    • While writing the perfect data analyst resume, always make sure to keep a few things in mind. Here are the dos and don’ts while building a data analyst resume 

    SectionsDosDon’ts
    Contact information

    Naveen Kumar – naveenkumar@gmail.com – +91 8212456798  

    Naveen Kumar, 454 Green Nest Apartment, Gurgaon, Haryana, Email: naveenkumar@gmail.com, Phone: +91 8212456798.  

    Data analyst profile summary/ Career objective for Data analyst resume 
    • Process-oriented data analyst with 2 years of experience in interpreting and analyzing data to drive growth for a pharmaceutical company. Reduced operating costs by 13%. Furnish insights, analytics, and business intelligence needed to guide decisions. 
    • A recent college graduate, attentive to sales data and passionate about studying how to improve performance. Looking forward to leveraging data analytical skills in the corporate world. 

    • Worked as a data analyst for 2 years in a pharmaceutical company. Used excel and various software for analyzing the data and increasing profits. 
    • A recent college graduate who loves to look at sales numbers and aspires to be a data analyst. 

    Work experience  
    • June 2019-May 2023 

    ABC Pharmaceuticals, Gurgaon 

    Used Microsoft’s SPSS statistical software to collect and analyze various data sets. 

    Increased organizational sales by up to 20%. 

    Introduced various solutions to improve the system’s efficiency which reduced 15% of operating costs. 

    • Data analyst resume for freshers 

    December 2021-May 2023 

    ABC Pharmaceuticals, Gurgaon 

    Helped the data scientists in analyzing the data and sales performance by 18%. 

    Worked specifically on identifying the customers’ needs. 


    • ABC Pharmaceuticals, Gurgaon 

    Worked as a data analyst in a Pharmaceutical company. 

    Analyzed and shared the data with clients by using Excel and data analysis software. 

    • For freshers: 

    ABC Retail 

    Worked as an assistant with the data scientists and looked at the organization’s overall retail performance. 


    Education
    • Bachelors of Computer Science, 2016 to 2019 

    Indian Institute of Technology, Bombay 

    • Demonstrated predictive analysis excellently using many large data sets. 
    • Built and implemented a capstone project that automated registration scheduling corrections which helped the students to save their time by 13%

    • Bachelor of Science in Computer Science, 2016 to 2019 

    • Indian Institute of Technology, Bombay GPA 3.59 

    Skills
    • Power user of various data mining software such as Excel, Minitab, SAS, MS Access, Oracle 8i databases, SQL, etc.
    • Strong communication and problem-solving skills.
    • Experienced at analyzing data and various data analytical tools. 

    • Possess strong math skills. 

    Achievements and Interests
    • Certified as a Professional Data Scientist from Columbia University. 

    • Well-versed in using data analytics software such as QDA Miner, HyperRESEARCH, and MAXQDA.

    • Very passionate about crunching numbers. 

    • Won award as ‘Scholar of the Month’ in the data software class. 

    Data Analyst Resume Writing Tips

    Here are some of useful tips to help you write an effective resume - 

    1. First of all, save your data analyst resume as a PDF. However, make sure to check the job description. This is because employers may be different and may or may not accept pdf data analyst resumes. 
    2. The contact information section must include the name, email address, and phone number. (The address is optional). You can also add your LinkedIn profile link in the contact information section. Always make sure to use your professional email address and phone number. 
    3. The resume summary needs to be creative, highlighting your skills, work experience, and achievements. Be professional. Keep it short and precise. Also, make sure to avoid personal pronouns or remove unnecessary words. 
    4. When listing your work experience, start with your most recent job. 
    5. Always make sure to add bullet points that demonstrate your achievement by citing numerical figures to your data analyst work experience summary. 
    6. Boost your resume by completing various data analyst projects matching your career goals. 
    7. While adding your educational details, you should add the degree type, major, university location, and academic achievements. 
    8. List the achievements matching the job description you are applying for. KnowledgeHut’s data science Bootcamp is extremely helpful for aspiring data analysts and helps you gain all the required skills. This Data Science Bootcamp duration is 5 to 6 months.  
    9. For a data analyst resume, your skill sets are what work as your resume keywords. Most data analyst employers look for the top skills that data analyst employers look for including communication, analytical, math, technical, attention to detail, problem-solving, creative thinking, strategic decision-making, etc. 
    10. Also, make sure that your skill sets match that of the data analyst roles and responsibilities in the resume template mentioned above.  

    Pro tip: Your chances of getting shortlisted or selected by the employer may increase if you add a data analyst resume and cover letter. 

    Final Word

    Over the past few years, data analysts have been very in demand. However, the field tends to be rigorously competitive, and hence, aspiring data analysts need to demonstrate how they can transform a data set into profitable action. By following all the above-given tips and data analyst CV examples, you will be able to highlight all your key skills and achievements, which may help you gain the employers’ attention.  

    By following these tips, you can build a data analyst intern resume, senior data analyst resume, etc. Whether a fresh college graduate or an experienced professional, you can choose the appropriate data analyst resume template. You can learn Data Science with R course with KnowledgeHut. 

    Frequently Asked Questions (FAQs)

    1What should a data analyst put on a resume?

    A data analyst must include a header section that includes your contact information, job title, LinkedIn profile, country or city, professional experience that includes your work experience and relevant educational details, and a perfectly crafted resume summary. 

    2What are the basic skills required for a data analyst?

    Some of the basic skills required for a data analyst are SQL, Jupyter, Google Analytics, Python, Tableau, and Qlik. You should list your key skills in bullet points and make sure you don’t include soft skills in your resume. You should be well prepared for sql interview questions for data analysts if you have mentioned SQL as a skill in your resume. You can opt foKnowledgeHut’s Deep Learning course to enhance your skills for your data analyst interview questions and answers session. 

    3What is the career objective of a data analyst?

    The career objective of a data analyst must include your personal statement that labels the specifics you intend to achieve through your professionalism and that you seek a challenging position in your role as a data analyst. Your career objective showcases your usage of technical and analytical skills. Thus, the career objective of a data analyst is to highlight every relevant detail necessary to land you an interview or a job as a data analyst. 

    4What is a good objective for resume examples?

    Some of the perfect examples of resume objectives are-  

    1. To obtain an arduous rank at a reputable firm where I could enhance my knowledge, abilities, and learning. 
    2. Find a reasonable career opportunity where I can put my training and skills to good use while contributing to the company's success. 
    3. I am looking for a training and development position in a high-level professional atmosphere to start my career. 
    4. To seek employment with a prestigious organization where I can put my abilities and business studies background to the best use possible. 
    Profile

    Ashish Gulati

    Data Science Expert

    Ashish is a techology consultant with 13+ years of experience and specializes in Data Science, the Python ecosystem and Django, DevOps and automation. He specializes in the design and delivery of key, impactful programs.

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