Job Description

Google’s gTech Ads team is looking for a Technical Solutions Consultant to join our Insights and Analytics team. In this role, you will work closely with sales teams, clients, and partners to design, implement, and deliver data-driven solutions. You will provide technical guidance and help automate processes that lead to better business insights for customers, leveraging your expertise in SQL, data analytics, Python, and data visualization.

Responsibilities

• Work with sales teams, partners, and gTech Ads Solutions specialists to design and develop data infrastructure and automated solutions that deliver actionable business insights.
• Analyze large and complex datasets to derive insights and create solutions that help clients meet their business objectives.
• Develop reporting tools and automation solutions in collaboration with cross-functional teams, providing technical guidance and support.
• Use measurement and insight tools to enrich customer presentations and proposals, facilitating the sale of Google’s advertising products.
• Translate complex data sets and technical concepts into clear, digestible insights for both technical and non-technical stakeholders.

Minimum Qualifications

• Bachelor’s degree or equivalent practical experience.
• Experience in SQL, Python, data analytics, technical design, troubleshooting, and stakeholder management.
• Proficiency with data visualization tools (e.g., Tableau, Looker Studio) and experience presenting data-driven narratives to stakeholders.

Preferred Qualifications

• Experience in a client-facing data analytics role, presenting data-based insights to executive stakeholders and partners.
• Strong knowledge of SQL workflow management, database management systems, and automation techniques.
• Experience with web technologies such as JavaScript, TypeScript, and HTML.
• Ability to code in object-oriented programming languages (e.g., Python).

Technical Skills: SQL, Python, Data Analytics, Data Visualization, Tableau, Looker Studio, JavaScript, TypeScript, HTML, Automation, Reporting Tools, Stakeholder Management, Data Infrastructure, Machine Learning, OOP.