Home Blog Business Intelligence Analyst Resume Samples

Business Intelligence Analyst Resume Samples

559
0

A Business Intelligence Analyst analyses a business’ data and other important information to help the business make profitable solutions that will work in its favor. This includes the BI Analyst collecting the required data, storing it, analyzing it, and making reports that are summarized and appropriate enough to be shared with the stakeholders of the business. A business analyst needs to work with numerous people both from the workplace and outside the firm. It is important that he/she stays on top of the changing trends and is up to date with the changes that happen in the organization and industry.

Maxwell Brooks
(123) 555-7777
maxwellbrooks@example.com
123 Main Street, Brooklyn, NY 11201

Professional Summary:

A results-oriented Business Intelligence Analyst with a strong foundation in statistical analysis, data analytics, Tableau, and PowerBI. Skilled in analyzing and creating business intelligence reports to drive operational improvements. Seeking to leverage entry-level experience to help organizations make data-driven decisions.

Professional Experience:

Business Intelligence Analyst, Matlen Silver | Charlotte, NC

Apr 2021 – Present

  • Leverage business analytics techniques to generate comprehensive performance analysis reports and identify areas for process improvement.
  • Design and develop interactive and visually appealing Tableau dashboards to enhance data reporting and present key metrics to stakeholders.
  • Utilize Microsoft Excel to extract and organize datasets, create business models, and compile data for the organization’s risk index.

Academic Experience:

Business Intelligence Projects, University of Dallas | Dallas, TX

Feb 2020 – Apr 2021

  • Conducted in-depth analysis of public financial data from prominent real estate companies to build three predictive models that forecasted economic trends in the housing market during the COVID-19 pandemic.
  • Collected, processed, and structured data from various sources into Excel sheets for analysis, enabling the development of accurate predictive models and informed decision-making.

Education:

  • Bachelor of Business Administration
    Columbia University, New York, NY | October 2017 – April 2021

Skills:

  • Data Analysis and Interpretation
  • Statistical analysis and modeling
  • Data visualization tools
  • Microsoft Excel
  • Programming Languages

Certifications:

  • Tableau Desktop Certified Professional, expected 2022
  • Tableau Server Certified Professional, 2021

Samantha Taylor
(123) 555-7777
samanthataylor@example.com
1234 Main Street, Los Angeles, CA 90001

Professional Summary:

Performance-oriented professional with 5+ years of experience in research, development, and implementation of data-gathering methods. Proven success in leading analytic projects for large-scale enterprises, aimed at fostering data-driven decision making and formulating long-term financial strategies.

Professional Experience:

Business Intelligence Analyst, Caltech | Pasadena, CA

May 2017 – Present

  • Oversee data analytics projects with a total value of up to $5 million, also act as the subject matter expert in business intelligence.
  • Successfully translate KPIs into actionable insights, and detect data patterns to support data-driven decision-making within the organization.
  • Direct and guide a team of business analysts in the execution of reporting projects, while also providing coaching and support to promote their professional development.

Business Strategy Analyst, American Honda Motor Company, Inc. | Torrance, CA

April 2015 – May 2017

  • Spearheaded the creation of business cases for various new business ideas to assess overall business feasibility, analyze data, and build predictive models.
  • Assisted Product Owners in determining business requirements and developing strategic recommendations for new products, utilizing business cases, and market/competitive analyses.

Education:

  • Bachelor of Business Administration
    University of California, Berkeley, CA | October 2011 – April 2015

Skills:

  • Data Analysis and Interpretation
  • Statistical analysis and modeling
  • Data visualization tools
  • Microsoft Excel
  • Programming Languages

Certifications:

  • Certified Business Intelligence Professional (CBIP), 2019
  • Tableau Desktop Specialist, 2018

Elena West
(123) 555-7777
elenawest@example.com
456 Elm Street, Springfield, IL 62704

Professional Summary:

Results-driven professional with 10+ years of experience in developing and managing business intelligence solutions for the organization. Proven track record of working closely with top-level executives to assess key business metrics and recommend effective change management strategies. Proficient in collaborating with team members to gather data and carry out the company’s mission.

Professional Experience:

Senior Business Intelligence Analyst, Charles Schwab | Phoenix, AZ

May 2017 – Present

  • Collaborate with leaders and stakeholders throughout the organization to design and enhance data and tools that support informed decision-making and increase operational efficiency.
  • Responsible for verifying that business data is precise, comprehensive, and dependable to bolster relationship and revenue management, and enhance team effectiveness.
  • Analyze available information, utilize pertinent data to identify trends, and propose practical and effective solutions to address simple and complex problems.

Business Intelligence Analyst, Centene Corporation | Phoenix, CA

April 2010 – May 2017

  • Supported business initiatives by performing data analysis, identifying implementation obstacles, and conducting user acceptance testing of different systems.
  • Conducted thorough analyses on various projects, propose potential business solutions, and ensure their successful implementation.

Education:

  • Master of Business Administration
    University of Illinois Urbana-Champaign, Champaign, IL | October 2014 – April 2016
  • Bachelor of Business Administration
    University of Illinois Urbana-Champaign, Champaign, IL | October 2006 – April 2010

Skills:

  • Data Analysis and Interpretation
  • Statistical analysis and modeling
  • Data visualization tools
  • Microsoft Excel
  • Programming Languages

Certifications:

  • Certified Business Intelligence Professional (CBIP), 2018
  • Microsoft Certified Data Analyst Associate, 2012
  • Tableau Desktop Specialist, 2010

Key Skills and Action Verbs for Business Intelligence Analyst Resume

Top Skills mentioned in Job Descriptions

  • Data Analysis
  • Data Visualization
  • Data Management 
  • Data Science
  • Decision Making
  • Data Modeling
  • Project Management
  • Agile Methodology
  • Business Analytics
  • Business Modeling
  • Business Strategy
  • Tableau
  • PowerBI
  • Excel
  • SQL
  • SAS
  • Statistics

Top Skills Mentioned in Resumes

  • Data Analysis
  • Data Visualization
  • Data Management 
  • Data Science
  • Data Modeling
  • Decision Making
  • Agile Methodology
  • Team Leadership
  • Project Management
  • Business Analytics
  • Business Modeling
  • Business Strategy
  • Tableau
  • PowerBI
  • Excel
  • SQL
  • SAS
  • Communication Skills

Most Important Skills Required to Be a Business Intelligence Analyst as Listed by Employers and Employees

Business Knowledge

In order to help the business make sound decisions that will help in the long run, the business analyst should have enough business knowledge that will make it easy for him to help the firm make beneficial decisions. He should be able to understand the business goals to achieve them easily.

If you’re looking to boost your skills, check out these free Business Intelligence courses available online.

Statistical Analysis

For them to prepare accurate analysis, Business Analysts need to have basic knowledge of the components of statistics which include mean, median, mode, range, variance, etc. Other than that advanced concepts like set theory, probability, random variables, etc. are also very important. This helps create correct and precise analysis to help the business achieve its goals.

Understanding of Coding Languages

Analysts may require knowledge of programming languages like Python, Java, and R to develop programs that help with data analysis and business monitoring. It will look good on the resumes and will increase the chances of getting a job.

Efficient Communication Skills

Since it is a business analyst’s job to summarize and communicate the findings, he should be able to easily break down complex ideas into simpler ones for everyone to understand. Efficient communication skills come in handy with written reports as well for the analyst to easily convey the main points.

Knowledge and Practice with Database Tools

Business Analysts need to have basic knowledge about different database tools that are used commonly among businesses in the industry. Software like Excel and SOL are extremely useful nowadays and having experience with this software can lead to success.

Tips for Writing a Better Business Intelligence Analyst Resume

In order to make your Business Intelligence Analyst Resume stand out you need to describe the appropriate skills related to business analysis that will allow you your resume to stand out from others and show how you would be an asset to the company.

1. Mention your analytical and social skills

Adding your education and skills regarding data analysis can prove to be a great addition to your resume. This will make show the interviewers that you are capable of drawing accurate analysis. Social skills also need to be added since this job requires a lot of communication. The way you communicate and get your point across will be seen as an important skill set that you have due to the demanding communication skills needed for the job.

2. Add your experience of working with different database tools

BI Analysts need to work with a lot of different tools that store company data. Advanced skills related to these particular tools can prove to be very helpful as they can make your skills seem more efficient and your resume can show that you can be a resourceful addition to the firm. Tools like Microsoft Excel, SQL Server, Tableau, etc. are widely used all over the world, and being efficient with these tools can prove to be of great significance.

3. Include your achievements

Mentioning your achievements and recognitions from either university or previous jobs can help your resume land you a great job. You must mention your achievements regarding Business Intelligence Analysis that will show how you can be useful for the job. It will give your resume an edge and make it stand out.

4. Mention any previous innovation

Creative ideas and innovations are always liked by employers. If they notice what you bring to the table through your unique ideas, they will be motivated to hire you. You must add any creative idea that you have come up with in the past and make a good impression through your competency.

5. Add extra information

Adding additional information that you feel will give an edge to your resume can prove to be a good strategy. You can include your hobbies, volunteer work, or any project that you have worked on. This can increase your chances of being selected.

BI Analyst Duties and Responsibilities

A Business Intelligence Analyst usually gathers, analyzes, and compiles data to compare it with the current trends and patterns and give suggestions for further actions that the business should take. His duties and responsibilities usually include:

  • Assessing marketing strategies by analyzing products, trends, or the market that are related to the product.
  • Gathering data for the business using different sources that include company data, public information, purchased sources, or industry and field reports.
  • Identifying potential clients and monitoring the current customers using business intelligence data.
  • Staying informed about the current industry and business trends by communicating with professionals, customers, suppliers, organizations, competitors, etc.
  • Summarizing economic and financial data reports for stakeholders including customers, managers, executives, and shareholders to review.
  • Analyzing technology trends and making suggestions regarding technological development within the company.

BI Analyst Skills and Qualifications

A Business Intelligence Analyst needs to have the following skills and qualifications:

  • He should be able to compile and analyze relevant data.
  • Should be organized and should pay extra attention to detail.
  • Should have efficient verbal and written communication skills.
  • He should be able to cooperate with a team and work alone as well.
  • Should have effective business analysis skills.
  • Should be familiar with different types of technological database tools and should be able to work well with them.
  • Should have a clear understanding of the business and industry’s objectives.
  • Should be able to think analytically.

BI Analyst Education and Training

  • A Business Intelligence Analyst position usually requires a bachelor’s in Business, Management, Economics, Finance, Accounting, or Computer along with Information Sciences.
  • A Master’s degree is also preferred.
  • Training for a BI Analyst position can include quantitative reasoning and computer programming, IT systems and database architecture, and business operations and organizational communication.
  • It also requires having excellent skills in mathematics and statistics along with a command over different software tools and programming languages for data analysis, data mining, and more.

BI Analyst Education and Training

A Business Intelligence Analyst’s salary can range from $53,000 to $97,000 with a median of $71,000.

The demand for Business Intelligence Analysts has been growing day by day and the job market is expected to grow by 23% from 2021 to 2031. It is a highly demanded position that is now required in every field from healthcare to law to education. With the growing competition and demand for efficiency, a BI Analyst can prove to be a useful asset to a company with its efficient role of compiling and analyzing data that helps the company run efficiently.