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Netflix Business Intelligence Analyst Resume Examples

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

Published 9 min read

This article will provide guidance on how to craft an effective resume for applying to a Business Intelligence Analyst position at Netflix. It will discuss the necessary skills, qualifications and experience that should be highlighted in order to make a candidate stand out from other applicants. Additionally, it will provide tips on how to effectively showcase these attributes and make them relevant to the role, as well as advice on how to structure the resume in order to best highlight the individual’s strengths.

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Netflix Business Intelligence Analyst Resume Example

Tationna Reimondo, Business Intelligence Analyst


(266) 920-7256

Charleston, WV

Professional Summary

I am an experienced Business Intelligence Analyst with over two years of experience in data analysis, reporting, and dashboard development. My experience includes utilizing a variety of tools and techniques to extract, transform, and load data from a variety of sources. I have developed dashboards using Power BI and Tableau to give meaningful insights to stakeholders. I have also worked with SQL to build complex queries for data analysis. Additionally, I have experience in creating and maintaining ETL processes to ensure that data is being transferred and stored properly. My strong analytical and problem-solving skills have enabled me to successfully complete projects and deliver high-quality solutions.

Work Experience

Senior Business Intelligence Analyst at The Nielsen Company, WV

Oct 2022 - Present

  • Developed an automated data collection process that reduced manual report generation time by 35%, resulting in a 10% increase in productivity within the team.
  • Created an interactive dashboard and visualization tool that allowed senior management to quickly access and analyze key performance indicators from various departments, leading to a 15% increase in business decisions that were based on accurate data.
  • Implemented a data warehouse architecture which enabled the organization to store, process and analyze large amounts of data, leading to an 8% improvement in the accuracy of decision-making.

Business Intelligence Analyst at Tata Consultancy Services, WV

Jul 2021 - Sep 2022

  • Developed an automated Business Intelligence (BI) Dashboard for Tata Consultancy Services, WV. This enabled the company to quickly access key performance indicators (KPIs) and improve decision-making processes. The dashboard was designed to track over 500 KPIs and has resulted in a 20% increase in operational efficiency.
  • Implemented a predictive analytics solution for TCS, WV that increased the accuracy of customer segmentation by 30%. This enabled the company to better understand their customer base and tailor marketing campaigns to their needs.
  • Created a data warehouse for TCS, WV that improved data accessibility by 70%. This allowed for faster, more efficient analysis of large datasets, leading to improved decision-making capabilities.


Bachelor of Science in Business Intelligence and Analytics at West Virginia University, Morgantown, WV

Aug 2016 - May 2021

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


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


  • Certified Business Intelligence Professional (CBIP)
  • Tableau Desktop Specialist Certification

Tips for Writing a Better Netflix Business Intelligence Analyst Resume

1. Use a Professional Format: Your resume should be formatted in a professional manner. Use an easy-to-read font, such as Arial or Calibri, and use clear headings to organize your information into categories.

2. Include Relevant Experience: Make sure to include relevant experience that demonstrates your ability to succeed in the role of a Netflix Business Intelligence Analyst. Highlight any relevant education and certifications you may have, as well as any technical knowledge or skills you possess.

3. Focus on Soft Skills: While it's important to list technical skills, employers also value soft skills like communication and problem solving when evaluating candidates for this position. Make sure to demonstrate these qualities in your resume by providing examples of how you've successfully used them in past roles.

4. Tailor Your Resume: When applying for a job at Netflix, make sure to tailor your resume specifically for their company culture and values. Research their website and mission statement to learn more about their goals and how they do business so you can better align yourself with their vision for success.

5. Include Keywords: Employers often use applicant tracking systems (ATS) when reviewing resumes, so make sure to include keywords from the job description throughout your resume so that it passes through these filters easily.

Related: Business Intelligence Analyst Resume Examples

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

Incorporating keywords from the job description when applying for a Business Intelligence Analyst opportunity at Netflix is essential. This is because Netflix uses an Applicant Tracking System (ATS) to help them manage their recruitment process. The ATS scans applications and resumes for keywords that are relevant to the job posting, so if your application doesn't include those words or phrases, it won't make it past the initial screening process. As such, it's important to include as many of the keywords as possible in order to ensure that your resume is seen by a human recruiter.

When applying for a Business Intelligence Analyst position at Netflix, you may encounter the following common skills and key terms in job descriptions:

Key Skills and Proficiencies
SQLData Analysis
Data VisualizationReporting
ETL (Extract, Transform, Load)Business Intelligence Tools
Data WarehousingDashboarding
Microsoft ExcelR Programming Language
Python Programming LanguageTableau
Oracle DatabaseMicrosoft Access
Predictive AnalyticsStatistical Analysis
Big Data TechnologiesMachine Learning Algorithms
Cloud Computing PlatformsData Mining

Related: Business Intelligence Analyst Skills: Definition and Examples

Common Action Verbs for Netflix Business Intelligence Analyst Resumes

It is important to use varied action verbs when creating a Netflix Business Intelligence Analyst Resume. This is because using the same verbs repeatedly can make your resume sound too repetitive and dull. To make your resume stand out, try to find action verbs that are specific to the job you’re applying for. For example, instead of simply stating “analyzed data”, you could say “examined data and identified correlations” or “determined trends in customer behavior”. Additionally, some examples of action verbs that can be used when creating a Netflix Business Intelligence Analyst Resume include "developed," "created," "implemented," "monitored," and "optimized." By using varied action verbs, you will be able to showcase your professional experience in an engaging way.

To give you a competitive edge, we've compiled a list of powerful action verbs that can help strengthen your resume and increase your chances of landing your next interview:

Action Verbs

Related: What does a Business Intelligence Analyst do?

Editorial staff

Photo of Brenna Goyette, 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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