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Data Analyst Resume

Companies regardless of industry need Data Analysts. There will always be openings for this highly important position. If you want to become a Data Analyst, you need a resume that will get you the job. Our Data Analyst resume sample is set up in a way that the company will see you as the best candidate for the job.

Data Analysts are more than just number-crunchers; they turn figures into stories that business can understand. In today’s highly technology-dependent world, Big Data has become an important component of business development strategy. As the saying goes, “Strategy follows numbers, not the other way around”. Without a good Data Analysts, business will have a difficult time making heads or tails of numbers and figures.

Data Analyst Resume Sample


Aidan R. Vandenberg

Data Analyst Resume Sample
Address:  
          7916 Fair Oaks Ranch, San Antonio, TX   
Phone:                (210) 846-2365
Email:                  [email protected]
Current job:      Data Analyst; Edgemont Securities, San Antonio, TX


Objective

Highly skilled, competent and well-experienced data analyst with organized, enthusiastic and focused approach to work seeks to establish a career with a company desirous of building a solid team of analysts for business development and strategy design purposes.


Strengths

  • 10 years experience as Data Analyst
  • College Degree; BS Mathematics
  • Minor Degree; BS Computer Science
  • Certification; C++
  • Certification; Java
  • Certification; SQL
  • Excellent communication skills
  • Great analytical skills
  • Highly patient
  • Consistently meets deadlines
  • Pleasing personality
  • Excellent disposition
  • Goal – oriented
  • Highly organized
  • Punctual

Work Experience

Data Analyst; 2010 to Present
Edgemont Securities; San Antonio, TX

Responsibilities:

  • Collects, cleans, transforms and validates data as a process for arriving at conclusions
  • Presents data in the form of charts, graphs and tables for immediate reference
  • Performs audit on all data for the purpose of business development resolution
  • Qualifies all collected data before categorizing as useful information
  • Presents analyses of all data to concerned officers, managers and departments.
  • Coordinates with all key or authorized people with the distribution of data analysis
  • Coordinates with technical analysts and fundamental analysts before publishing client reports
  • Monitors and organizes all client invoices for the purpose of accurate and timely billing procedures
  • Maintains and updates all data archives
  • Conducts periodic internal audits

Data Analyst, 2007-2010
Iron Head Technologies; San Antonio, TX.

Responsibilities:

  • Collects and performs data analysis
  • Presents analysis in research format
  • Controls flow of distribution of all data analysis
  • Regularly conducts audit on data systems
  • Oversees organization and controls of data base
  • Regularly consults with key company personnel where analyzed data is relevant
  • Coordinates with engineering and product development teams to verify accuracy of data
  • Oversees all client issues and coordinates with appropriate managers or supervisors
  • Presents recommendations to Lead Data Analyst

Data Analyst, 2004-2007
JKL Retail Group; San Antonio, TX

Responsibilities:

  • Conducts extensive market analysis
  • Prepares market reports
  • Collects and analyzes data
  • Prepares all analyzed data into report form
  • Regularly coordinates with various departments to validate data analyses
  • Regularly conducts audit on data systems
  • Oversees organization and controls of data base
  • Conducts random audits on system flow of data
  • Regularly meets with sales and marketing departments to discuss results of analysis
  • Presents recommendations to Lead Data Analyst

Education

Palo Alto College
Bachelor Degree, Mathematics
San Antonio, TX
2000-2004; 3.8 GPA

Brackenridge High School
High School Diploma
San Antonio, TX
1996-2000, 3.8 GPA


Courses

  • Certification; C++
  • Certification; Java
  • Certification; SQL
  • MS Office

Personal information

  • Married, 1 child
  • DOB 12/04/83
  • Hobbies include CrossFit, music and cooking

What to Write in a Data Analyst Resume Objective

data-analyst-resume-objective

Data Analysts are in demand in any business. As industries become more competitive, the need to analyze and breakdown data into useful information become crucial. Companies spend millions of dollars every year on infrastructure that would make data collection and organization more efficient and effective. Good Data Analysts ensure these investments yield a significant return for the company.

Given the number of jobs available and the high rate of demand for Data Analysts, companies are constantly looking for candidates they can depend over the course of the long-term. It will be to the company’s best interest if they can establish a system that can support their business development objectives. The success of the system will largely depend on the Data Analyst involved.

Your Data Analyst resume objective must always indicate your desire to build a career with the prospective employer. Companies are hesitant to keep spending for new personnel because there are costs associated with training, establishing a relationship and maintaining work systems.

You should also give your prospective employer an idea of how you approach work. Company culture is very important in this day of behavioral leadership and values-based management styles.

What to Write in a Data Analyst Resume Skills Section

The job of a Data Analyst is a crucial one for the company. It requires technical and fundamental competencies, varied skill sets and the right mindset to make the analysis relevant to everyone on-board the organization.

Here are the qualifications you need in your Data Analyst resume skills section:

  • Educational Attainment; if you want to be in the running for the Data Analyst position, you must have a college degree in Mathematics, Computer Engineering, Programming or a related course. This is a highly specialized field and technical proficiency is much sought after. In fact, if you want higher-level or management level positions, some companies will require you to have a Master’s degree.
  • Certifications; Data Analysts conduct audits, collects and analyzes various data from different systems. A system consists of frameworks and specific processes. This is why it is important to be knowledgeable in various programming languages. You can get certification in some of the most popular languages such as C++, Java, Python, and SQL. Having certification in multiple programming languages will enhance your marketability to prospective employers.
  • Great analytical skills; for many people including executives, numbers are just a jumbled set of numerical units. They need Data Analysts to translate these numbers into words and meanings they can understand. As a Data Analyst, you will be perusing through large amounts of data. You should have the skills to understand these numbers and translate these to using language to management.
  • Effective communication skills; once you have finished your analysis, you will have to present your findings to the concerned people in the organization. Your explanation and analysis must be clear enough for those in attendance to understand.
  • Critical thinking; translating these numbers, figures, and variety of data into clear, language that makes sense is important for the company to design business development strategy. And this responsibility falls in the hands of the Data Analyst.
  • Great attention to detail; in Data Analysis big mistakes can be made if even little details are missed. You have to be meticulous in your job to become an effective Data Analyst.
  • Highly organized; with the amount of information, numbers, and figures you have to go through, you should be well-organized in your approach.
  • Works well with people or a team; as a Data Analyst you be asked to meet with different departments, personnel or officers of the company to discuss specific sections of data which is relevant to their scope of work and responsibilities.

As you can see, there is much more to the work of a Data Analyst that spending an entire hour perusing numbers and data. He or she has to dedicate enough time to gather, validate and verify all the data before these can become usable and relevant information.

What to Write and Not to Write in the Data Analyst Resume Experience Section

As mentioned, many companies regardless of industry have need of Data Analysts. The world has become a data-driven economy as more people have become technologically dependent. The needs and wants of consumers are sought and searched the Internet.

Companies invest in the having the best websites, digital marketing specialists, and programs that make data collection easier and more accurate. But all of these data will be meaningless unless it can be analyzed effectively.

Data analysis can be run by different systems; largely influenced by the industry and the type of programming language. It would be beneficial to your application if you could emphasize the responsibilities and challenges you managed in different industries.

Highlight the tasks you were asked to manage and how you went about your work responsibilities. Data analysis isn’t just about perusing through volumes of numbers. You have to make these understandable and relevant to the organization.

You also have to conduct frequent audits to systems to make sure these are current. Markets have grown unpredictable. Consumer tastes and preferences change without notice; heavily influenced by social media and other avenues on the Internet.

The race for market share starts with data gathering and ends in how data analysis converts information into valuable input for strategy design.

Highlight and differentiate your scope of work in different industries. Prospective employers want Data Analysts who can give them a more diversified value proposition.

You do not have to include or go into detail with experience that has no relevance with Data Analysis. If you did an internship for additional training and experience, this can be mentioned during the interview. But always focus on relevant information when preparing your Data Analyst resume experience section.
We are confident that our Data Analyst resume sample presents your data in an organized and discernable format. It will be easy for prospective employers to identify you as a valuable asset to the company. Include the suggestions we made on your resume objectives, skills, and experience section to have a full-proof resume.

If this Data Analyst resume example wasn’t sufficient for you, you are free to review some other samples and templates from our site. Browse to some related resumes below and find your inspiration.

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