Business Data Resume Examples, Skills, and Keywords

Play a pivotal role in decision-making within the business world. Our stellar business data resume samples and resources will get you one step closer to helping your dream company thrive.

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Business data resume samples

In the digital era, those who work in business data have a dynamic and multi-faceted role within the corporate world. They’re the glue that brings the IT and financial teams together to help organizations thrive. They’re in charge of finding fruitful ways to increase revenue. In the business data field, metrics are powerful tools for making informed business decisions. Recruiters are constantly looking for natural-born critical thinkers like you to help:

  • Optimize operations
  • Reduce expenses
  • Maximize efficacy
  • Optimize resources

As a business data expert, even at the entry level, you can work in numerous industries. Multinational companies require the valuable insights of trained and experienced data analysts, scientists, and engineers to help develop winning business strategies.

Do you have what it takes to fill a position in business data? Prove it with a carefully crafted resume that will get recruiters and hiring managers excited to meet you. However, make sure to include the right resume keywords to bypass any applicant tracking system (ATS) your potential employer might be using to filter out weak candidates.

Jobscan’s resume examples will help you showcase your impressive business data skills efficiently. If you need a little inspiration to compose a jaw-dropping resume that will land you an interview, take a look at our job-specific templates below.

Business analyst resume example

If you want to be an agent of change within your organization, pursue a career as a business analyst. As a BA, you'll get to work alongside your favorite non-profit, governmental, or private companies to create new models and improve existing processes. Our resume template will help you land this exciting job.

Data analyst resume example

If you love thinking outside the box to find innovative business solutions, why not become a data analyst? You'll be using your impressive technical skills to collect and study market research results and sales numbers. Take the first step towards helping your dream company make their best decisions by writing a jaw-dropping resume using our template.

Data engineer resume example

Data engineers are critical to measuring product and service performance. If you pride yourself on your analytical skills, this might be the right career choice for you. If you're looking for inspiration, or just want something to model your resume on, take a lok at the template below.

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Business data resume skills and keywords

Most recruiters have an ace up their sleeves to make their jobs a lot easier: the much-dreaded ATS. They work like your favorite search engine ⁠— they look for keywords in a resume and present the hiring team with what it believes are the best resumes. Your resume might never be seen by a human being if you’re not careful.

But contrary to popular belief, circumventing this automated software is easy if you use the right strategy. Utilize job-specific business data resume skills to ensure your resume doesn’t get missed. Look in the job description for terms that resemble the following examples.

 

Top 30+ skills for business data

  • Market research
  • Market access
  • Google Data Studio
  • Databases
  • Communication
  • SAS programming
  • Microsoft access
  • Time management
  • Tableau
  • Market risk
  • Hive
  • Leadership
  • Financial reporting
  • Analytics
  • Teamwork
  • Data modeling
  • Business Intelligence (BI)
  • Stress management
  • Analytical skills
  • Google BigQuery
  • Data visualization
  • Google Analytics
  • SQL
  • QlikView
  • Reliability
  • IBM SPSS
  • Financial analysis
  • Pivot tables
  • Attention to detail
  • Data mining
  • Finance
  • Financial modeling
  • Product marketing
  • Data warehousing
  • Visual Basic for Applications (VBA)
  • Big data analytics
  • Business analysis
  • Python (Programming Language)
  • Bloomberg terminal
  • SAS
  • Latent class analysis
  • Extract, Transform, Load (ETL)
  • Statistical data analysis
  • Microsoft Power BI
  • Microsoft SQL Server
  • MySQL
  • Accounting
  • Data science
  • Statistical modeling

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Salary expectations for popular business data roles

Like in any other field, your salary in business data will depend on many factors. Some of the most common are your location, the position you’re applying to, and your qualifications. The average pay for selected roles in this sector is:

$37,350
Data entry
$78,320
Business analyst
$100,680
Data analyst
$103,930
Data engineer

Education and certification requirements for business data resumes

Having the appropriate degrees and certifications isn’t all there is to landing your dream job, but it certainly doesn’t hurt. This is especially true when you’re just starting your career, and you don’t have much experience to impress the HR department. Most entry-level positions working with data require at least a bachelor’s degree and some technical skills.

While many business analysts never set foot in a university, pursuing a college education might help you stand out from the candidate pool. If you’re aiming higher in the business world, you might want to consider investing in some relevant credentials. You could get any of the following certifications:

  • SAS Certified Advanced Analytics Professional Using SAS 9
  • Microsoft Certified Azure Data Scientist Associate
  • Microsoft Certified Data Analyst Associate
  • IBM Data Science Professional Certificate
  • SAS Certified Big Data Professional Using SAS 9
  • EMC Proven Professional Data Scientist Associate (EMCDSA)
  • Open Certified Data Scientist
  • Associate Certified Analytics Professional (aCAP)

According to IBM, 39% of data scientists and advanced data analysts require a master’s degree. Additionally, most data engineers need a Ph.D. to secure a job. Since hard skills will be necessary for your daily tasks, consider specializing in fields like finance, mathematics, statistics, computer science, or economics.