Yahoo Mail aims to be the best platform to help users manage their 'business of life' by providing timely and accurate insights to executives, product managers, and developers, and is looking for a Senior BI & Analytics Engineer to build critical analytics systems and pipelines.
Requirements
- Expert-level SQL: Highly proficient in writing complex, performant, and well-structured SQL.
- Data Warehousing: Strong, hands-on experience with a modern cloud data warehouse (e.g., Google BigQuery).
- BI Tools: In-depth experience with BI platforms, with a strong focus on Looker (LookML development, administration, and optimization).
- Google Cloud Platform (GCP): significant experience working on GCP
- Programming: proficiency in Python/Java for data scripting and automation.
- Experience with modern pipeline orchestration tools like Airflow.
Responsibilities
- Data Modeling & Transformation: Architect, develop, and maintain a robust and scalable data warehouse.
- Analytics Engineering & BI: Design and build our analytics semantic layer to provide a consistent and governed view of our data.
- Pipeline & ELT Development: Build, manage, and optimize data pipelines to ingest, clean, and enrich data from various sources.
- Advanced Analytics & Engineering: Develop complex queries, analytics applications, and software programs to solve advanced analytics and data mining problems.
- Collaboration & Communication: Partner with data analysts, data scientists, product managers, and software engineers to understand business requirements and deliver effective data solutions.
Other
- 6+ years of experience in a business intelligence, analytics engineering, or data engineering role within a fast-paced internet or tech company.
- BS/MS/PhD in Computer Science, Electrical Engineering, or a related engineering discipline.
- Demonstrated ability to translate complex business needs into data models and reporting solutions.
- Exceptional communication skills, with the ability to bridge the gap between technical data teams and business stakeholders.
- A proactive, self-driven, and collaborative attitude with a passion for enabling data users.
