Business Intelligence Analyst, Sellside Exchang...
@ Google

New York, New York, United States
On Site
Posted 3 days ago

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XXXXXXXXXX XXXXXXXXXXXXX XXXXXXXX******* @google.com
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Job Details

Overview

As a Business Intelligence Analyst at Google, you will develop insights to guide business leaders and drive decision making across the Exchange Platforms business. You will work closely with global sales teams, maintain media sales pipeline reporting, and partner with other BI Analysts to build scalable data infrastructure and dashboards.

Minimum Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 4 years experience in Business Intelligence or Data Analytics.
  • 4 years experience in SQL and Data Visualization (Looker, Tableau, Power BI, Qlik, etc.).

Preferred Qualifications

  • Experience with regression, classification, prediction, machine learning, and neural networks.
  • Experience with Salesforce or other CRM systems.
  • Experience in statistical tools such as R, Python, etc.
  • Ability to generate insights from data sets and present them effectively.
  • Excellent presentation and written communication skills.
  • Passion for developing and analyzing data to drive business decisions.

Responsibilities

  • Analyze data and partner with business leadership to identify opportunities.
  • Develop detailed sales pipeline reporting for various audiences.
  • Build models and forecasts combining data inputs to estimate business growth.
  • Collaborate with the tools team to prioritize new data analysis additions.
  • Develop and maintain scalable data pipelines, dashboards, and infrastructure.

Key Skills/Competency

  • SQL
  • Data Visualization
  • Business Intelligence
  • Data Analytics
  • Salesforce
  • Machine Learning
  • Data Pipelines
  • Dashboarding
  • Forecasting
  • Statistical Analysis
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How to Get Hired at Google

🎯 Tips for Getting Hired

  • Research Google culture: Understand their mission and recent news.
  • Customize your resume: Highlight SQL, BI and visualization skills.
  • Showcase projects: Provide examples of data analysis work.
  • Prepare for interviews: Review business and technical questions.

📝 Interview Preparation Advice

Technical Preparation

Review SQL query practices.
Study data visualization tools.
Practice building dashboards.
Explore forecasting models.

Behavioral Questions

Describe a challenging project.
Explain collaboration with teams.
Discuss decision-making under pressure.
Share communication success stories.

Frequently Asked Questions