Google is Hiring For Business Intelligence Analyst, Analytics Engineering | Latest IT Jobs

Google is Hiring For Business Intelligence Analyst, Analytics Engineering | Latest IT Jobs 




Minimum qualifications:

Bachelor's degree or equivalent practical experience.
5 years of experience as an analyst, data engineer, or related role.
Experience using SQL in order to transform datasets to meet business needs.
Experience managing production data pipelines or warehousing data (e.g., Modern Data Warehouse stacks such as dbt, Airflow, Looker, Cloud Composer, BigQuery, Snowflake).

Preferred qualifications:

Experience developing dashboards or performing analyses in a client-facing analyst role.
Demonstrated ability to project manage with competing priorities, while applying initiative, creativity, and problem-solving to identify solutions and meet business needs.
Excellent communication skills, and able to adapt messaging to technical and nontechnical audiences.
Uses software engineering best practices with a focus on testing, reliability, security, performance, and maintainability.
Collaborates with stakeholders to gather requirements and drive adoption of solutions.

Responsibilities

Build and maintain internal reporting pipelines and dashboards for People Operations including troubleshooting, development, and access controls. Write advanced SQL queries, system configurations, and manage and execute project plans.
Design new solutions and processes to translate complex metrics and business requirements to formats that enable quick and accurate data analysis. Interact with internal users to define requirements, socialize designs, and test solutions. 
Provide user support and training on team's data product portfolio. Provide limited ad hoc data for requests not served by standard dashboards or business analysts.
Work with analysts and engineers to help shape and drive the development and application of Google’s internal data infrastructure including warehousing, reporting, and analytics platforms.
Contribute to the development of the BI team’s tools, skills, culture, and impact.

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