Lead Business Intelligence Engineer

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 with SQL or similar query languages and development experience in at least one object-oriented or scripting language (Python, Java, Scala, etc.); Python preferred.
• 3+ years of experience designing and building dashboards, reports, and other end-user analytics solutions using data visualization tools such as Looker, Tableau, Visier, Posit, or similar platforms.

Preferred Qualifications:

• MA/MS in a technical and/or research-based field.
• Hands-on experience with Google Cloud Platform and data technologies such as BigQuery and Airflow.
• Experience working in an agile development environment and collaborating across technical and business teams.
• Experience with version control systems such as Git.
• Experience working with People data, including workforce and Talent Acquisition data, and familiarity with People analytics platforms such as Visier.

If you have a disability or special need that requires accommodation, please don’t be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a “default together” approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we’ve got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap’s long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $190,000-$284,000 annually.

Zone B:

The base salary range for this position is $181,000-$270,000 annually.

Zone C:

The base salary range for this position is $162,000-$241,000 annually.

This position is eligible for equity in the form of RSUs.