Insight Specialist, Global Client and Agency Solutions

2 Months ago • 3 Years + • Data Analyst

Job Summary

Job Description

The Insight Specialist role at Google's gTech Ads focuses on providing data-driven insights to enhance Google's ability to sell media solutions. Responsibilities include analyzing large datasets, creating compelling narratives, building insightful measurement tools, and simplifying complex data for client presentations. The ideal candidate will have experience with digital media, data analysis (SQL, visualization tools like Tableau, Data Studio), and client-facing roles. They'll work with Analytical Leads and Account Executives to drive customer business objectives and improve client decision-making. This involves converting raw data into strategic insights and actionable storylines to sell relevant media solutions.
Must have:
  • Bachelor's degree or equivalent experience
  • 3+ years digital media/advertising experience
  • SQL, Data Analysis, Data Visualization skills
  • Experience with analytical & narrative tools
  • Data wrangling and automation experience
Good to have:
  • Client-facing data analytics or consulting experience
  • Experience with scripting languages (e.g., Javascript, R, Python)
  • Experience with automation techniques

Job Details


Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 3 years of experience working with digital media or digital marketing/advertising solutions, implementing and measuring digital advertising campaigns and providing client solutions.
  • Experience with SQL, Data Analysis, Data Visualization.
  • Experience working with analytical and narrative tools such as spreadsheets, presentation-software, tableau, data-studio, etc.

Preferred qualifications:

  • Experience with automation techniques.
  • Experience in a client-facing data analytics role or in consulting.
  • Experience of working with datasets.
  • Experience in scripting languages (e.g., Javascript, Apps Script, R, Python, etc.).

About the job

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our .

Responsibilities

  • Work with Analytical Leads and Account Executives to enable compelling, integrated, research-based insights and narratives to enhance Google's ability to sell relevant media solutions to clients.
  • Analyze large and complex datasets, through automation and data wrangling, converting them into strategic insights and compelling storylines in order to drive Customer business objectives and enable client decisions.
  • Build insight and measurement tools to add relevant, trustworthy data to customer presentations and proposals.
  • Make complex data sets and concepts simple and easy to understand.

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