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Top 4 Characteristics of a Best-in-Class Business Intelligence Analyst Resume

  1. Summary Use short, concise statements that combine valuable information about your skills, such as data extraction and report generation, with applicable personal traits like presentation and analytical skills. Highlight any specializations or qualifications you possess. For example: “Versatile Business Intelligence Analyst adept at database management and finding solutions to business problems. Specialized in production and administrative processes.”
  2. Skills A successful BI analyst needs a mix of analytical, technical and soft skills. Consider listing these popular skills:
    • Data analysis and data warehousing
    • Business intelligence, business administration and business analysis
    • Data modeling and data mining
    • Tableau and data visualization
    • Database management and reporting
    • Knowledge of Hadoop, SQL, Python or C#
    • Critical thinking, decision making and problem-solving
    • Communication skills
    • Proficiency in Microsoft Office and/or Google Sheets
  3. Work history Give concise but detailed examples of how you used your analytical skills and educational qualifications to create a positive impact. For example: “Improved efficiency by 60% by shifting 350+ reports from Oracle reports into SSRS” or “Streamlined workflow systems and billing strategies by implementing system changes that reduced account receivables by 25%.”
  4. Education Some specific credentials, courses and training that fit the role of a business intelligence analyst include:
    • Associate of Arts in Economics
    • Bachelor of Science in Computer Science
    • BBA: Business Analytics
    • BBA: Business and Managerial Economics
    • Master of Information and Data Science
    • SAS Big Data Certification
    • SQL BI Certification from Microsoft
    • Intellipaat Big Data Hadoop Certification
    • BA in Information Systems

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Do’s and Don’ts for Your Resume

  • Do use action-oriented verbs Positive action words like streamlined, implemented, managed, directed or devised,  define you as an energetic, proactive analyst. Use them to describe your work experience, rather than more wishy-washy phrases such as “was responsible for.”
  • Do use numbers and data In a text-dominated document like a resume, numbers stand out and grab readers’ attention. Use data in the form of numbers or percentages to highlight your achievements, giving them more detail and value. Instead of writing “devised a system to increase profits,” write “Developed production process solutions that increased productivity by 22%.”
  • Do mention important soft skills A BI analyst requires technical skills like data analysis, data mining and data warehousing, but don’t forget to include equally important intangible (or “soft”) skills that define how your approach work, such as superior written and verbal communication, leadership, problem-solving ability and teamwork.
  • Don’t just list routine tasks Above all, recruiters want to know about the skills and tools you utilized to achieve results and how you add value as a BI analyst. Don’t waste your resume space listing out all your routine duties. Instead, focus on your achievements and demonstrate how you’ve used your analytical and technical skills to perform your duties and beyond.
  • Don’t mention irrelevant experience or details Each statement of your resume should convince recruiters that you possess the right qualifications and skill sets required for a business intelligence analyst role. Your goal should be to inform the recruiter about your best relevant abilities, such as cohort analysis, reducing logistics costs or your proficiency of data utilization tools. They are not interested in your part-time position as a bartender or a gym coach while in college.
  • Don’t use the same resume for all your job applications In the field of business analysis, no two jobs are exactly the same. For example, one BI analyst position might stress monitoring and fine-tuning KPIs, while another might emphasize working with marketing teams to formulate competitive sales strategies. Stay away from using a “generic” version of your resume; instead, analyze the requirements for each role you apply to, and customize your resume accordingly, putting the focus on skills and work experience that fulfill these requirements.

Business Intelligence Analyst Resume FAQs

1. What are the skills you should emphasize for this specific job?

Depending on the specialized skills each employer looks for, consider featuring these qualifications in your resume:

  • Quantitative analysis
  • Survey design
  • Identifying and measuring correlations
  • Data analysis and data warehousing
  • Applying scientific methods to gather data
  • Business administration and business analysis
  • SQL programming
  • Data modeling and data mining
  • Establishing benchmarks
  • Tableau and data visualization
  • Critical thinking
  • Database management and reporting
  • Communication skills in presenting and pitching graphical data and proposals
  • Understanding the impact of economic cycles
  • Evaluating stakeholder perceptions regarding problems
  • Facilitating the creation of new data-reporting models
  • MatLab and web analytic tools

2. What are some examples of training and certifications that fit this specific resume?

Training and certifications help give you an edge over other candidates, so be sure to include them in your education section. Some of the more BI analyst-oriented studies you can can include:

  • Certified Business Intelligence Professional
  • Qlikview Business Analyst
  • Tableau Desktop Certified Professional
  • SAS Big Data Certification
  • IBM Certified Designer: IBM Cognos Analytics Author V11
  • SQL BI Certification from Microsoft
  • MCSA: BI Reporting
  • Intellipaat Big Data Hadoop Certification
  • SAP Certified Application Associate
  • Business Intelligence Foundation Suite by Oracle – 11g Certified Implementation Specialist
  • SAS Certified BI Content Developer for SAS 9
  • MCSE: Data Management and Analytics

3. How should you organize your resume?

Your resume should show that you’ve already achieved success as a business intelligence analyst, or have the know-how to succeed in this role. Include technical skills such as Python and handling data visualization, as well as soft skills such as a high level of written and verbal communication; use these skills to describe yourself in your summary, and show how you apply them in your work history. List applications or tools you’re experienced or certified in, and give concrete examples of how you can transform analytical challenges into results.

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

If you’re looking to pursue a higher-level role such as ig data architect, data scientist or business intelligence project manager, work on adding more technical skills to your repertoire and gaining additional knowledge in the following areas through experience or specialized training:

  • Machine learning
  • Hacking skills
  • Traditional research skills
  • Excellent client-facing communication skills
  • Data scientist certification programs

 

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