Google Customer Solutions (GCS) seeks to build and maintain core data infrastructure that supports sales and partner teams' operations, enabling them to execute product objectives and drive sustainable business growth for small and medium businesses (SMBs).
Requirements
- 3 years of experience coding with one or more programming languages (e.g., Python, Java, C/C++).
- 3 years of experience analyzing data, database querying (e.g., SQL), and creating dashboards/reports.
- 3 years of experience designing data pipelines (ETL) and dimensional data modeling for synch and asynch system integration and implementation.
- Knowledge of data visualization and dashboard tools (e.g., PLX, Tableau, PowerBI, Looker).
- Familiarity with Google Ads products.
Responsibilities
- Operate a robust, stable infrastructure, working closely with Engineering teams and cross-functional partners to continuously drive process improvements.
- Develop and maintain data models, pipelines, and SQL scripts to assist in the visualization, analysis, and interpretation of data.
- Perform data analysis and profiling using relevant tools, leveraging the data infrastructure and existing data models with minimal guidance.
- Work with clients to identify their needs and clarify requirements and enable data-driven decision-making by collecting, transforming, and publishing data.
- Follow and improve upon the technical best practices, including making data discoverable, thinking about the lifecycle of data, and managing master data well.
Other
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- Master’s degree in Engineering, Computer Science.
- 3 years of experience partnering with stakeholders (e.g., users, partners, customers).
- 3 years of experience developing project plans and delivering projects on time within budget and scope.
- Excellent communication and presentation skills to deliver findings of analysis.
