9 results for Business Intelligence Engineer Jobs in Mountain View, CA, US

As a Senior BI Engineer, responsible for conducting in-depth quantitative analysis on large datasets, creating precise data models, and presenting actionable business recommendations. Collaborate with various teams to improve service performance and reduce operational costs, utilizing Python data sc...

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company’s thr...

DescriptionThe Amazon Search team creates powerful, customer-focused search solutions and technologies. Whenever a customer visits an Amazon site worldwide and types in a query or browses through product categories, Amazon Search service go to work. We design, develop, and deploy high performance, f...

About The TeamCome help us build the world's most reliable on-demand, logistics engine for delivery! We're bringing on talented engineers to help us create and maintain a 24x7, no downtime, global infrastructure system that powers DoorDash’s three-sided marketplace of consumers, merchants, and dashe...

About PositionAI Business Intelligence (BI) EngineerAs an AI Business Intelligence (BI) Engineer, you will be responsible for building and maintaining BI dashboards, reports, and analytics solutions using Tableau and Quick Sight. You will collaborate with data scientists, data engineers, and busines...

The role involves analyzing business challenges and providing data-driven insights, building dashboards and reports, identifying performance trends in auction campaigns, partnering with cross-functional teams, and influencing decision-making through data storytelling. Responsibilities also include r...

As a Business Intelligence Engineer, you will scale the Amazon Search service by collaborating with engineering and operations, track performance metrics, manage resource planning and budgeting, analyze utilization and performance data, and develop automation tools for these tasks.

Responsible for empowering engineers and leadership with actionable insights, designing and implementing BI solutions, collaborating with technical teams, developing self-service tools, and maintaining visualizations and dashboards for data-driven decision-making.

Responsible for designing and implementing key datasets, capturing business needs for analytics projects, delivering data pipelines, orchestrating ETL processes using Airflow, and building reporting tools for consistency across teams.