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Google Business Intelligence Analyst Resume Examples

This article provides Google Business Intelligence Analyst resume examples and tips to help applicants craft an effective and comprehensive resume that stands out from the competition.

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Brenna Goyette
Certified Professional Resume Writer, Career Expert

Published 9 min read

This article will provide guidance on how to create a resume for a Business Intelligence Analyst position at Google. It will discuss the necessary skills, experience and qualifications needed to stand out from other applicants and what information should be included in the resume to ensure it is optimized for success. Additionally, tips on how to emphasize relevant skills, achievements and accomplishments that demonstrate an understanding of the role and company culture will be provided.

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Google Business Intelligence Analyst Resume Example

Isha Uqdah, Business Intelligence Analyst

isha.uqdah@gmail.com

(202) 023-8234

Seattle, WA

Professional Summary

As a Business Intelligence Analyst with over 2 years of experience, I have been responsible for designing, developing, and maintaining business intelligence solutions for multiple clients. I have developed an expertise in data engineering, visualization, data warehousing, and analytics. I have utilized my strong analytical skills to create meaningful insights from complex data. I have built dashboards to monitor performance and track KPIs. I have also obtained a thorough understanding of SQL and Python programming languages. I have the ability to collaborate effectively with stakeholders and ensure that data is effectively utilized within the organization.

Work Experience

Senior Business Intelligence Analyst at Amazon, WA

Oct 2022 - Present

  • Developed an automated reporting system that reduced manual report creation time by 70%, saving the business over $50K in labor costs.
  • Designed and implemented a data warehouse solution to integrate multiple sources of customer transaction information, resulting in improved accuracy of sales forecasting by 15%.
  • Led project team responsible for creating custom dashboard visuals used across all departments, increasing visibility into critical metrics from 10% to 90%.
  • Developed predictive analytics models which identified potential areas for reducing operational expenses with 5-10% savings annually on average.

Business Intelligence Analyst at Microsoft, WA

Aug 2021 - Sep 2022

  • Developed a data visualization dashboard for Microsoft’s sales and marketing teams that increased visibility into customer buying behavior. The dashboard allowed users to quickly identify key trends, resulting in an 11% increase in revenue over the previous year (FY20).
  • Developed predictive analytics models using Azure Machine Learning services which enabled more accurate forecasting of future demand by customers with accuracy up to 97%. This led to cost savings of $2 million from FY19-FY21.
  • Led research on new technologies such as artificial intelligence, natural language processing and big data solutions; this resulted in implementations across multiple departments leading to improved efficiency through automation at 15%.
  • Implemented automated reporting system using Power BI tools enabling faster decision making process amongst stakeholders increasing productivity by 20%.

Education

Bachelor of Science in Business Intelligence and Analytics at Seattle University, WA

Aug 2017 - May 2021

Relevant Coursework: Data Visualization, Data Warehousing, Database Management, Business Intelligence, and Analytics.

Skills

  • Data Analysis
  • SQL
  • Data Visualization
  • Reporting
  • Business Intelligence Tools
  • Data Mining
  • Problem Solving

Certificates

  • Certified Business Intelligence Professional (CBIP)
  • Certified Analytics Professional (CAP)

Tips for Writing a Better Google Business Intelligence Analyst Resume

1. Focus on Results: When writing your Google Business Intelligence Analyst resume, it's important to focus on the results you've achieved in your role. Showcase how you've used data to solve problems and make decisions that have had a positive impact on the business.

2. Use Industry-Specific Keywords: To ensure that your resume gets noticed by recruiters and hiring managers, use industry-specific keywords throughout your resume. This will ensure that your skillset stands out against other applicants who may not be as familiar with the field of business intelligence analysis.

3. Highlight Your Technical Skills: As a Google Business Intelligence Analyst, you need to have strong technical skills in order to succeed in the role. Make sure to highlight any relevant experience or certifications that demonstrate your expertise in data analysis tools such as SQL, Tableau, or Looker.

4. Include Soft Skills: Although technical skills are essential for this role, it is also important to showcase any soft skills you possess such as communication, problem solving, or leadership abilities that could make you a valuable asset to the team.

5. Proofread Your Resume: It's always important to review and proofread your resume before submitting it for consideration. This will help ensure that all of the information included is accurate and free from typos or errors that could lead to an automatic rejection from recruiters or hiring managers.

Related: Business Intelligence Analyst Resume Examples

Key Skills Hiring Managers Look for on Google Business Intelligence Analyst Resumes

When applying for a Business Intelligence Analyst opportunity at Google, it is essential to incorporate keywords from the job description into your application materials. This is because Google utilizes an Applicant Tracking System (ATS) to parse through applications quickly and accurately. Incorporating relevant keywords into your resume and cover letter will help the ATS recognize that you are a strong candidate for the position, increasing the likelihood of being selected for an interview.

When applying for a Business Intelligence Analyst position at Google, you may encounter the following commonly sought-after skills and key terms:

Key Skills and Proficiencies
SQLData Analysis
Data VisualizationBusiness Intelligence Tools
ETL (Extract, Transform, Load)Reporting
Dashboard DesignData Warehousing
OLAP (Online Analytical Processing)Analytics
Microsoft ExcelTableau
Power BISAS
R ProgrammingPython
Statistical ModelingPredictive Modeling
Machine LearningBig Data Technologies
Database Management Systems (DBMS)Cloud Computing

Related: Business Intelligence Analyst Skills: Definition and Examples

Common Action Verbs for Google Business Intelligence Analyst Resumes

Finding the right action verbs to use on a resume can be difficult, especially when it comes to creating a Google Business Intelligence Analyst Resume. It is important to use varied and powerful verbs in order to make an impact and demonstrate your expertise. For example, instead of simply writing “analyzed data”, you could say “developed insights using data analysis” or “generated reports with quantitative information”. By using strong action verbs, you are able to showcase your skills and experience in a more effective way that will grab the attention of potential employers.

To give you an edge in the job market, we've compiled a list of powerful action verbs to help strengthen your resume and increase your chances of landing your next interview:

Action Verbs
DevelopedAnalyzed
ImplementedDesigned
GeneratedMonitored
InvestigatedOptimized
InterpretedResolved
ForecastedAutomated
MaintainedEvaluated
DocumentedAssessed
VisualizedReported
TroubleshotStreamlined
IntegratedVerified

Related: What does a Business Intelligence Analyst do?