Business Intelligence Analyst, Google Apps for Work

Google’s mission is to organize the world‘s information and make it universally accessible and useful. Since our founding in 1998, Google has grown by leaps and bounds. From offering search in a single language we now offer dozens of products and services—including various forms of advertising and web applications for all kinds of tasks in scores of languages.

As a Business Intelligence Analyst supporting Google for Work Apps Operations, you will leverage your knowledge of data analysis, technical systems and project management skills to enhance our existing business intelligence platform, as well as scope and design new solutions in order to translate data into meaningful interpretations and recommendations for the business. You will engage with internal stakeholders across the organization to provide insights for better decision making, drive operational efficiency, program performance and business growth. In this role, you will establish a robust performance insights process through a/b testing and reporting. This role requires strong analytical skills and the ability to effectively influence and communicate cross-functionally with all levels of management. We are looking for someone who thrives in a team-oriented environment, working cross-functionally with Product, Engineering, Marketing and Sales teams to develop insights that drive operational efficiency.

* Expand and refine the Business Intelligence platform across different product lines and markets, with a focus on providing insights for better decision-making across Google for Work teams. * Develop quantitative models (e.g., forecast, operational, financial and statistical models of business trends). * Own critical processes that are central to the delivery of accurate metrics (e.g., data models, data pipelines, reporting dashboard, etc.).

* BA/BS degree in Computer Science or related technical field or equivalent practical experience. * Relevant work experience as an analyst or in an analytical role in consulting, sales support, financial analysis or quantitative marketing. * Experience with SQL, R or Python. **Preferred qualifications** * Master's or PhD degree in a quantitative field such as Engineering, Computer Science, Mathematics, Statistics, Economics or Business Science. * Experience with statistical and quantitative modeling and forecasting. Experience with machine learning techniques. * Experience working with large and multiple datasets/data warehouses and ability to pull from such data sets using relevant programs and coding. * Experience in identifying business opportunities and defining and measuring success of proposed initiatives. * Technical consulting or project/program management experience. Ability to handle multiple projects and assignments under time pressure. * Excellent communication skills and the ability to manage multiple and diverse stakeholders across businesses and leadership levels.