Google Offcampus hiring 2025 batch for Technical Solutions Consultant role| Google Offcampus Drive 2024
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| JOB | DETAILS |
|---|---|
| Company | |
| Role | Technical Solutions Consultant |
| Batch | 2025 |
| Education | BE/BTECH/BA/BCA/BSC |
| Salary | 13LPA- 21LPA |
| Last Date | Apply ASAP |
| Location | India |
| More 2022 Batch Job Updates | CLICK HERE |
| More 2023 Batch Job Updates | CLICK HERE |
| More 2024 Batch Job Updates | CLICK HERE |
| For Daily Job Updates | CLICK HERE |
Job description:
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- Experience in SQL, technical design, troubleshooting, stakeholder management, data analytics, Python and data visualization.
Preferred qualifications:
- Experience working with data visualization tools like Tableau, Looker Studio, etc.
- Experience in a client-facing data analytics role or in presenting data based narratives to executive stakeholders and partners.
- Experience with database management systems, SQL workflow management.
- Experience with web technologies such as JavaScript, TypeScript, HTML.
- Advanced knowledge of SQL and automation techniques.
- Ability to code in an object oriented programming language (e.g., Python).
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.
The gTech Scaled Technical Solutions team is a group of engineers and technical experts, within the gTech Ads Solutions organization, developing customer focused solutions and platforms, increasing scale, reach, and team velocity for all deliverables to customers, sellers, and partners. Solutions launched have the ability to impact thousands of customers and influence future product road maps, built around technical best practices and leading edge technology.
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 video.
Responsibilities
- Work with sellers, partners and gTech Ads Solutions specialists to develop data infrastructure and automated solutions to deliver business insights for customers.
- Understand business requirements, provide technical guidance and develop automation and reporting tools and solutions in partnership with stakeholder teams.
- Analyze large and complex datasets, convert them into insights enablement solutions to drive customer business objectives and enable client decisions.
- Utilize insight and measurement tools to add relevant, trustworthy data to customer presentations and proposals, to enable sales of Google media solutions.
- Use communication and stakeholder management skills to make complex data sets and concepts simple and easy to digest.
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