Featured Resume Example: Research Analyst

ResearchAnalyst

Name: June Barnett

Address: City, State, Zip Code
Phone: 000-000-0000
E-Mail: email@email.com

PROFESSIONAL SUMMARY

Accurate Research Analyst with expertise in traditional and modern research methodologies. Skilled in providing strategic solutions and assessing project performance. Hands-on experience completing development research and leading detailed competitive assessments.

SKILLS

  • Statistical modeling
  • Software programming
  • Research project design
  • Forecasting
  • Analyzing trends
  • Data audits
  • Quality control enhancement
  • Materials coordination

WORK HISTORY

Research Analyst
03/2015 to Current
Company Name, City, State

  • Gathered, arranged and corrected research data to create representative graphs and charts highlighting results for presentations.
  • Collected data on competitors, consumers and marketplace and consolidated data into presentations and reports.
  • Supported design and implementation of survey instruments such as telephone questionnaires to obtain study information.

Research Associate
02/2011 to 06/2013
Company Name, City, State

  • Validated incoming data to check information accuracy and integrity while independently locating and correcting concerns.
  • Gathered, arranged and corrected research data to create representative graphs and charts highlighting results for presentations.
  • Organized paperwork, including participant-informed consent waivers and research scope documentation.

Statistician Intern
01/2010 to 05/2011
Company Name, City, State

  • Supported research and development efforts to create new products, equipment and processes.
  • Planned, modified and executed research techniques, procedures and tests.
  • Developed macros, special formulas and other actions to produce reliable and consistent statistical reviews.

EDUCATION

Bachelor of Science: Database Management
City, State

Top 4 Characteristics of a Best-in-Class Research Analyst Resume

  1. Summary Describe your experience and expertise in terms of your top skills, such as analytical abilities, written and verbal communication, and critical thinking, leading off with a phrase that emphasizes a key trait (e.g., “Tech-savvy research analyst …”).
  2. Skills Refer to the job description for the skills the job demands, match them with your own, and list them here (e.g., statistical modeling, trend analysis, quality control enhancement), using bullet points.
  3. Work history Showcase any hands-on experience you’ve had in research analysis, or other job roles that use similar skills. Focus on achievements and projects that received recognition, rather than everyday tasks.
  4. Education In addition to your top academic credential (Bachelor of Science in Database Management), add any related advanced training or certifications, such as completion of a Certified Research Analyst (CRA) program.

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Do’s and Don’ts for Your Resume

  • DO use strong action verbs. When describing your expertise, previous responsibilities, or work achievements, always use proactive verbs such as managed, analyzed, integrated, implemented, oversaw, or maintained, rather than passive language like was responsible for. For example: “Developed requests for records and data files” or “Created basic data visualizations.”
  • DO merge skills with work experiences. Just stating “market research” as a skill is valuable, but giving an example of how you’ve applied this skill in a previous job or activity is more convincing. For example, if you list “administrative and organizational abilities” as a skill, follow it up with a relevant work example such as “Updated research management systems and prepared materials for internal meetings.”
  • DO stick to a straightforward layout for your resume. Even something as seemingly innocuous as changing up the title of a section (e.g., retitling “Work History” as “My Past Jobs”) can confuse applicant tracking systems (ATS) that employers use to scan resumes. It’s always best (and safest) to use a template for your resume that has all the correct titling, fonts and non-intrusive design elements.
  • DON’T Let your resume run too long. Hiring managers usually only take seconds to read a resume, so don’t overstuff it with information that doesn’t directly apply to the job you want. Focus on your best, most appropriate skills and work experiences, and use peppy, brief bullet points and phrases instead of long sentences. Aim for a length of two pages at most.
  • DON’T just copy and paste from the job description. Copying and pasting whole statements from the job posting into your resume in order to “prove” you’re the right person for the position is a sure way to raise a red flag with recruiters. While it’s good to pay attention to the job description, it’s better to come up with skills and experiences that are both uniquely yours, and always fulfill those requirements. For example, if the job stresses “strong financial acumen and financial modeling skills,” don’t copy the phrase verbatim into your document. Find job examples and skills that show you’re proficient at financial analysis.
  • DON’T exaggerate or lie in your resume. Even a “white lie” on your resume can lead to severe consequences. Hiring managers are more diligent than ever before when it comes to background checks, and if they find any discrepancies between what you write and what they find out about previous employment, education or skills, it can lead to dismissal or worse. Always stick to the facts and the truth.

Research Analyst Resume FAQs

1. How should you format your resume?

If you lack professional experience as a research analyst, go with a functional format for your resume, which focuses on professional skills you’ve trained on or gained experience within academic and extracurricular activities. If you have extensive experience to fall back on, use a chronological format, which highlights your career progression through a detailed work history section. A combination format is a good “in-between” choice, featuring both relevant work experiences and skills.

2. How do I use keywords in my resume?

While going through the job description, pay extra attention to crucial words and phrases that define the job, such as “experience in programming with MATLAB and Python,” or “ability to manage multiple priorities simultaneously.” Then come up with skills and work experiences that address these needs, and add them throughout your resume (e.g., listing “Proficient in Python in your skills section, or describing a previous job experience in which you juggled several responsibilities). For more keyword tips, see How to Use Keywords Effectively.

3. What are some skills you should consider for a research analyst resume?

Hard skills:Soft skills:
Statistical modelingAccuracy
Software programmingAttention to detail
Analyzing trendsAbility to excel in fast-paced environment
Data auditsGood organizational skills
Quality control enhancementAbility to work under pressure
Research project designExcellent communication skills
Materials coordination
Hard Skills:
Statistical modeling
Software programming
Analyzing trends
Data audits
Quality control enhancement
Research project design
Materials coordination
Soft skills:
Accuracy
Attention to detail
Ability to excel in fast-paced environment
Good organizational skills
Ability to work under pressure
Excellent communication skills

4. What are some certifications and training that are ideal for this resume?

To grab employers’ attention, look to add credentials like the following in your education section:

  • Professional Researcher Certification
  • Certificate in Market and Social Research Practice
  • Graduate Certificate in Market Analytics and Market Research

5. How should you craft your resume if you’re looking to take the next step forward in your career?

Keep these points in mind as you build your resume and career:

  • Show examples of your proficiency and success in analyzing trends and statistical modeling.
  • Show a wide range of experience in developing macros, special formulas, and other actions to produce reliable and consistent statistical reviews.
  • Gain advanced training and knowledge of processes such as forecasting, research project design, and materials coordination.
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