Lead Business Intelligence Engineer

Snap; Bellevue (NE); On-site; USD 120,000 - 180,000; Full time

Job summary

Snap Inc. is seeking a seasoned Business Intelligence Engineer to partner with engineering, People Science, and HR leadership. You will design scalable data solutions, deliver insights, and enable data-driven decisions across the People team.

You will own end-to-end data products, mentor teammates, and ensure data quality and governance while translating complex findings for executives and analysts alike.

Qualifications

• Advanced SQL and Python skills for pipelines and analytics.
• Strong data modeling, ETL/ELT design, and data quality focus.
• Experience turning business questions into measurable metrics.
• Ability to operate with limited direction and own delivery.
• Experience with statistical methods and analytics tooling.

Responsibilities

• Lead complex BI initiatives from problem definition through delivery.
• Translate business needs into technical approaches and requirements.
• Own workflow, prioritize work, manage timelines and blockers.
• Design scalable data pipelines, models, and analytics solutions.
• Own data products end-to-end, with docs and monitoring.
• Translate findings into clear insights for stakeholders.
• Identify opportunities to simplify and improve data quality.
• Mentor teammates and help set team standards.

Skills

Advanced SQL and Python

Data pipelines design

Data modeling

Analytics and statistics

Executive communication

Ownership and accountability

Business acumen

Team mentorship

Education

BS/BA in CS/Math or social science

MS in technical field + 5+ years post-grad

PhD in technical field + 2+ years post-grad

Tools

SQL

Python

BigQuery

Airflow

Visier

Looker

Posit

Job description

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 operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.

We are looking for a Business Intelligence Engineer for Snap's People Team. This person will be a trusted business partner who brings together technical expertise, business acumen, and analytical rigor. They will work closely with engineering, People Science, business leaders, and HR leadership to lead business intelligence and analytics engineering initiatives, design scalable data solutions, deliver meaningful insights, and enable data-informed decision-making.

What you'll do:

• Lead complex, high-impact business intelligence and analytics engineering initiatives from problem definition through delivery.
• Translate ambiguous business needs into clear technical and analytical approaches, working with stakeholders to define requirements, evaluate tradeoffs, and prioritize solutions.
• Independently own your workflow and delivery, using sound judgment to prioritize work, manage timelines and dependencies, address risks or blockers, and keep stakeholders informed.
• Design and architect reliable, scalable data pipelines, data models, and self-service analytics solutions using tools such as SQL, Python, BigQuery, Airflow, Visier, Looker, and Posit.
• Own key data products or systems end-to-end, including technical design and architecture, quality, reliability, documentation, monitoring, maintenance, and continuous improvement.
• Conduct rigorous analysis and translate complex findings into clear insights and recommendations for technical and non-technical audiences.
• Identify opportunities to simplify processes, improve data quality, reduce manual work, and build more scalable solutions.
• Provide technical guidance and mentorship to team members, contribute to team standards and best practices, and help foster a culture of learning and high-quality execution.

Knowledge, Skills & Abilities:

• Advanced SQL and Python skills, with experience designing and building reliable data pipelines, models, and analytics solutions, and the ability to leverage AI-assisted development and analytics tools responsibly; and willingness to adopt new technologies as needs evolve.
• Deep understanding of the data ecosystem, including data warehouses, dimensional and semantic modeling, ETL/ELT pipelines, analytics layers, visualization tools, and self-service data products.
• Demonstrated ability to design reliable, scalable data architectures and improve data quality, performance, maintainability, and operational resilience.
• Ownership and accountability, with the ability to independently navigate complex or ambiguous problems, make sound technical and architectural decisions, manage priorities across multiple workstreams, and drive work forward with limited direction.
• Experience applying analytical and statistical methods, including descriptive analysis, regression, correlation, time series analysis, and hypothesis testing, using tools such as Python or R.
• Business acumen and experience translating business questions into clear metrics, analytical requirements, data solutions, and actionable insights, with careful attention to scope, consistency, and interpretation.
• Ability to lead through influence and communicate complex technical and analytical concepts clearly across executives, business partners, analysts, and technical teams.
• Strong judgment and commitment to data quality, privacy, security, governance, and the responsible use of People data.

Minimum Qualifications:

• BS/BA degree in a technical field (e.g., computer science, mathematics) or a research-based social science field (e.g., public policy, sociology).
• 6+ years of relevant experience in business intelligence engineering, analytics engineering, data engineering, quantitative analysis, or a related field or a Master's degree in a technical field + 5+ year of post-grad experience; or a PhD in a related technical field + 2+ years of post-grad experience
• 6+ years of experience wit