Google

About Google

Empowering the world through technology and information

🏢 Tech👥 100K+📅 Founded 1998📍 Mountain View, California, United States

Key Highlights

  • Over 100,000 employees globally
  • Headquartered in Mountain View, California
  • Parent company Alphabet Inc. valued at $1.5 trillion
  • Google Cloud Platform serves millions of customers

Google LLC, headquartered in Mountain View, California, is a global leader in internet-related services and products, including its flagship search engine, Google Search, and the Android operating system. With over 100,000 employees, Google also offers cloud computing services through Google Cloud P...

🎁 Benefits

Google offers competitive salaries, equity options, generous PTO policies, comprehensive health benefits, and a remote work policy that allows flexibi...

🌟 Culture

Google is known for its engineering-first culture, emphasizing innovation and collaboration. The company fosters a unique environment that encourages ...

Google

Sales Development Representative Senior

GoogleDocklands - On-Site

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Skills & Technologies

Overview

Google is hiring a Data Analytics Sales Specialist to promote Google Cloud's analytics and data management solutions. You'll work with technologies like BigQuery and Looker to assist customers in identifying suitable use cases. This position requires 10 years of experience in the field.

Job Description

Who you are

You have a Bachelor's degree or equivalent practical experience, along with 10 years of experience in promoting analytics, data warehousing, or data management software. Your background includes planning, pitching, and executing a territory business strategy, and you have experience collaborating with sales engineers and customer technical leads to build compelling business cases for transformation and implementation plans.

You possess knowledge of market-leading Business Intelligence (BI), data analytics middleware, or data warehouse technologies. Your understanding of the data analytics technology stack includes Hadoop, Spark, columnar data warehouses, data streaming, ETL processes, data governance, predictive analytics, and data science frameworks. You are also familiar with Google Cloud Data and Analytics technologies such as BigQuery, Looker, and Pub/Sub.

Your ability to engage with audiences through social channels and deliver impactful messages sets you apart. You excel in collaborating with executive stakeholders, acting as a business advisor and thought leader in data and analytics. Your investigative skills enable you to use data to inform decisions and work effectively with stakeholders.

Desirable

Experience with cloud platforms and a strong understanding of the competitive landscape in data analytics will be beneficial. Familiarity with developing Go-To-Market (GTM) strategies with partners in the Google Cloud Platform ecosystem is a plus.

What you'll do

In this role, you will focus on building accounts and assisting customers in identifying use cases suitable for Google Cloud Data and Analytics solutions. You will provide solution differentiation and demonstrate the business impact of these solutions. Collaborating with Google account and technical teams, you will develop and drive sales pipelines while providing your expertise to customers.

You will be responsible for executing territory business strategies and working closely with sales engineers to ensure that customer needs are met. Your role will involve engaging with customers to understand their challenges and how Google Cloud can address them effectively. You will also play a key role in developing GTM efforts with Google Cloud Platform partners, ensuring that the solutions offered align with market needs.

What we offer

At Google, you will be part of a team dedicated to helping customers transform their businesses with cloud technology. You will work in a collaborative environment that values innovation and encourages professional growth. Google offers competitive compensation and benefits, along with opportunities to work on impactful projects that shape the future of data analytics in the cloud.

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