BI Analyst, Product Data Warehouse — Equity & Bonus

Google LLC; New York, Atlanta (NY, GA); Sur place; USD 116 000 - 166 000; Plein temps

Résumé du poste

Google LLC in the United States seeks a Business Intelligence Analyst for the Go-to-Market Product Data Warehouse team. You will own end-to-end BI solutions for audiences, GMP, and privacy reporting, building data pipelines, models, and dashboards used by thousands of sellers daily.

Collaborate with GPS and Ads engineering to translate business questions into KPIs, deliver scalable analytics, and ensure data quality.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 4 years of experience in Business Intelligence or Data Analytics.
• 4 years of experience in SQL and Data Visualization (e.g., Looker, Tableau, Power BI, Qlik, or similar technologies).

Responsabilités

• Partner with Go-to-Market teams to translate questions into metrics and analyses.
• Design robust data models and pipelines, collaborating with Ads Engineering to integrate data from multiple sources.
• Create intuitive dashboards, reports, and tools for self-service analytics across thousands of stakeholders.
• Prioritize requests with a balance of short-term needs and long-term scalability.
• Leverage AI to accelerate development cycles while ensuring data and pipelines are fully tested.

Connaissances

SQL

Data Visualization tools

BI/Data Analytics experience

Translating business requirements toBI

Explaining analytics to stakeholders

Data modeling concepts

Big data tech (Hadoop/Spark/Python/R)

Formation

Bachelor’s degree or equivalent practical experience

Outils

Looker

Tableau

Power BI

Qlik

Description du poste

Google LLC in the United States seeks a Business Intelligence Analyst for the Go-to-Market Product Data Warehouse team. You will own end-to-end BI solutions for audiences, GMP, and privacy reporting, building data pipelines, models, and dashboards used by thousands of sellers daily.

Collaborate with GPS and Ads engineering to translate business questions into KPIs, deliver scalable analytics, and ensure data quality.