Data Analyst, Core Systems

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  
• 1 year of experience in technical troubleshooting and writing code in one or more programming languages.
  
• Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting.
  
• Experience with SQL, Data Analysis, Data Analytics, Dashboards, and ETL Tools.

Preferred qualifications:

• Bachelor's degree in a quantitative field (Business, Math/Statistics, Economics, Computer Science, Engineering, or similar).
• 1 year of experience in data analysis or a related field.
  
• Experience working with large and complex datasets. Demonstrated experience in using SQL for data extraction, manipulation, and analysis.
• Experience in building and maintaining data pipelines using tools like Apache Airflow or similar.
  
• Experience working with stakeholders to gather requirements and translate them into actionable insights.
  
• Proficiency in any one of the data visualization tool (e.g., Looker, Tableau, Data Studio).
  

About the job

As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.

You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

The US base salary range for this full-time position is $94,500-$139,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Develop and execute complex SQL queries to extract, transform, and analyze data from various sources. Design and build interactive dashboards that effectively communicate key insights and trends to stakeholders.
  
• Craft data-driven narratives that guide users through dashboards, uncovering meaningful insights and actionable recommendations through user-centric experiences.
  
• Design, build, and maintain robust data pipelines to collect, process, and integrate data from disparate sources.
  
• Ensure data accuracy and integrity throughout the pipeline, implementing validation and error-handling procedures. Automate data extraction, transformation, and loading (ETL) processes to improve efficiency and reduce manual effort.
  
• Collaborate effectively with cross-functional teams, including product managers, engineers, and business leaders, to gather requirements, prioritize projects, and deliver actionable insights.