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Google Big Data Analyst Resume Examples

Photo of Brenna Goyette
Brenna Goyette
Certified Professional Resume Writer, Career Expert

Updated 8 min read

This article will provide readers with a comprehensive guide to creating an effective resume for applying to Google as a Big Data Analyst. It will cover topics such as what qualifications and skills to emphasize, how to highlight relevant experience, and the best ways to present accomplishments. Additionally, tips on how to make the resume stand out in the job market will also be discussed.

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Google Big Data Analyst Resume Example

Sharell Tundo, Big Data Analyst

sharell.tundo@gmail.com

(377) 814-8671

Manchester, NH

Professional Summary

I am a Big Data Analyst with over 2 years of experience in analyzing complex datasets, creating data pipelines and developing data models. I have a strong ability to identify trends and patterns in large datasets and develop meaningful insights from them. I have knowledge of working with a variety of data mining and data visualization tools such as Hadoop, Tableau, and Python. My expertise lies in data extraction, transformation and cleansing techniques. I have successfully implemented data-driven solutions for various business problems. I have experience in working with stakeholders in order to identify the data requirements and deliver quality outputs. I am highly motivated and have excellent communication and teamwork skills.

Work Experience

Senior Big Data Analyst at Progeny Health, NH

Dec 2022 - Present

  • Developed a predictive analytics algorithm to identify high-risk patients from medical records. This enabled Progeny Health, NH to reduce hospital readmissions by 14%.
  • Implemented an automated data analysis system that identified patterns in patient behavior and provided insights into the root cause of chronic diseases. The implementation resulted in cost savings of $300K per year for the organization.
  • Established a big data platform which allowed users to access real-time information on health outcomes across multiple locations with accuracy up to 98%.
  • Built dashboards using Tableau that visualized key metrics such as length of stay, diagnosis codes, utilization trends etc., thereby providing actionable intelligence for clinicians enabling them make informed decisions quickly.

Big Data Analyst at Allied Global Services, NH

Jul 2021 - Nov 2022

  • Developed a predictive analytics model to forecast customer behavior for Allied Global Services, NH which resulted in an 8% increase in sales.
  • Designed and implemented a big data infrastructure with Hadoop clusters that increased processing speed by 20%.
  • Developed an advanced monitoring system using Apache Spark that reduced operational costs by 10%.
  • Analyzed large amounts of unstructured data from multiple sources and identified key trends resulting in 15% improvement on the efficacy of marketing campaigns.

Education

Bachelor of Science in Big Data Analytics at Southern New Hampshire University, Manchester, NH

Sep 2016 - May 2021

Relevant Coursework: Data Warehousing, Data Mining, Machine Learning, Statistical Analysis, and Cloud Computing.

Skills

  • Data Analysis
  • Machine Learning
  • Data Mining
  • Statistical Analysis
  • Database Management
  • Data Visualization
  • Programming

Certificates

  • Cloudera Certified Professional: Data Analyst (CCP-DA)
  • Hortonworks HDPCA Certification

Tips for Writing a Better Google Big Data Analyst Resume

1. Focus on Your Technical Skills: Google Big Data Analyst is a highly technical job, so it’s important to emphasize your technical skills in your resume. Make sure to list any coding languages you are proficient in and any software or tools that you have experience with.

2. Highlight Your Education: Employers will want to see that you have the educational background necessary for the position, so include relevant coursework and degrees in your resume. If you have received certifications related to big data analysis, make sure to include them as well.

3. Showcase Your Project Experience: Include any projects that demonstrate your ability to work with large datasets and draw meaningful insights from them. Also be sure to mention any research papers or publications related to big data analysis that you have been involved in.

4. Demonstrate Your Problem-Solving Ability: Employers will be looking for candidates who can solve complex problems quickly and efficiently using their data analysis skills, so make sure to highlight examples of times when you were able to do this in past positions or projects.

5. Use Keywords & Buzzwords: To ensure that your resume stands out among other applicants, it is important to use keywords and buzzwords associated with the field of big data analytics throughout your resume. This will show employers that you are up-to-date with the latest trends and technologies in the field of big data analytics.

Related: Data Analyst Resume Examples

Key Skills Hiring Managers Look for on Google Big Data Analyst Resumes

Incorporating keywords from the job description into your resume and cover letter is essential when applying for a Big Data Analyst opportunity at Google. This is because Google uses Applicant Tracking Systems (ATS) to scan resumes for certain keywords and phrases that match the skills and qualifications listed in the job description. By including relevant keywords, you can ensure that your application is being seen by ATS and will increase your chances of being selected for an interview.

When applying for Big Data Analyst positions at Google, it is important to be familiar with common skills and key terms such as those listed below.

Key Skills and Proficiencies
Data AnalysisData Mining
Machine LearningStatistical Analysis
Data VisualizationHadoop
Apache SparkETL (Extract, Transform, Load)
SQLNoSQL
PythonR Programming
JavaScala
AWS (Amazon Web Services)Azure
TableauBusiness Intelligence (BI) Tools
Data WarehousingCloud Computing
Predictive AnalyticsNatural Language Processing (NLP)

Related: Data Analyst Skills: Definition and Examples

Common Action Verbs for Google Big Data Analyst Resumes

Finding varied action verbs to use on a resume can be challenging, especially when creating a Google Big Data Analyst Resume. When writing your resume, it's important to use powerful and effective language that will grab the attention of recruiters and hiring managers. Using varied action verbs allows you to show off your skills and expertise while highlighting relevant achievements. This is especially important for a Google Big Data Analyst Resume since this position requires technical knowledge and experience in data analysis. By incorporating carefully chosen action verbs into your resume, you'll be able to showcase your qualifications in the most impactful way possible.

To help you stand out from the competition, we've compiled a list of powerful action verbs to enhance your resume and increase your chances of landing your next interview:

Action Verbs
AnalyzedDeveloped
ImplementedDesigned
MonitoredManaged
InvestigatedOptimized
AutomatedMined
VisualizedProcessed
ConsolidatedInterpreted
LeveragedStreamlined
EvaluatedAssessed
ForecastedCorrelated
ConfiguredTroubleshot

Related: What does a Data Analyst do?

Editorial staff

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Editor

Brenna Goyette

Expert Verified

Brenna is a certified professional resume writer, career expert, and the content manager of the ResumeCat team. She has a background in corporate recruiting and human resources and has been writing resumes for over 10 years. Brenna has experience in recruiting for tech, finance, and marketing roles and has a passion for helping people find their dream jobs. She creates expert resources to help job seekers write the best resumes and cover letters, land the job, and succeed in the workplace.

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