Senior Business Intelligence Engineer, Level 4 (Fixed-Term)

· Remote

Location

Remote

Type

Full Time

Job Description

Senior Business Intelligence Engineer Level 4 (Fixed-Term)

Reposted 21 Hours Ago
Bellevue WA USA
Hybrid
111K-196K Annually
Senior level
Artificial Intelligence • Cloud • Machine Learning • Mobile • Software • Virtual Reality • App development
We believe the camera presents the greatest opportunity to improve the way people live and communicate.
The Role
The Senior Business Intelligence Engineer will translate business needs into analytics conduct statistical analyses and develop data tools while collaborating with various teams.
Summary Generated by Built In

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 three core products are Snapchat a visual messaging app that enhances your relationships with friends family and the world; Lens Studio an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses Spectacles.

We are looking for a Business Intelligence Engineer for Snap’s People Team. This person will be a trusted business partner who brings to the work equal parts technical expertise business acumen and analytic rigor. This person works closely with engineering people science business leaders and HR leadership to design and build data tools/visualizations conduct analyses identify key business insights and help translate analytics into actionable insights that will advance our goals.'

This is a 6-month fixed term opportunity.

What you’ll do:

  • Translate business questions into actionable and efficient analytics plans that you will execute from start to finish

  • Conduct high-quality statistical analyses to derive meaningful insights and effectively communicate the results to both technical and non-technical audiences

  • Develop and implement data-pipelines and end-user data tools (e.g. Visier Looker Posit) that empower non-technical business partners to access and analyze data independently

  • Ensure data quality/integrity throughout all stages of data acquisition and processing

  • Design implement and document  efficient data querying and modeling infrastructure

  • Manage your own workflow. Prioritize and execute high impact projects triage external requests ensure to deliver projects in time and keep your team and cross-functional partners informed about  deliverable timelines and dependencies

  • Mentor and guide junior team members to foster a culture of learning and growth within the team

Knowledge Skills & Abilities:

  • Experience with data modeling warehousing and building ETL pipelines

  • Experience writing complex SQL queries to pull data from data warehouses 

  • Familiarity with Python or R for data analysis data manipulation/transformation and automation tasks

  • Experience building data views and interactive dashboards for end users using data visualization tools such as Visier Looker or Posit.

  • Expertise in conducting statistical analyses including descriptive statistics regression correlation time series analysis hypothesis testing and using statistical analysis packages like R or Python libraries (e.g. pandas scikit-learn NumPy)

  • Ability to effectively communicate complex findings to non-technical stakeholders

  • Experience independently designing a research plan for a lower complexity business question including defining hypotheses selecting appropriate analytical methods analyzing the data and communicating results 

Minimum Qualifications: 

  • BS/BA degree in a technical (e.g. computer science math) or research science based social science  (e.g. public policy sociology)

  • 5+ year experience in SQL or similar query languages

  • 5+ years development experience in at least one object-oriented or scripting language (Python Java Scala etc) Python preferred

  • 3+ years experience in using data analysis and visualization tools such as R Python libraries (e.g. matplotlib seaborn) Tableau or Looker

Preferred Qualifications:

  • MA/MS in a technical and/or research-based field (e.g. computer science public policy)

  • Hands-on experience with Google cloud platform and its data offering such as BigQuery

  • Experience working in an agile development environment and collaborating with cross-functional teams utilizing version control systems such as Git 

  • “Visier Analytic Model Developer” or “Visier Certified Developer” credential 

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 $130000-$196000 annually.


 

Zone B:

The base salary range for this position is $124000-$186000 annually.

Zone C:

The base salary range for this position is $111000-$167000 annually.

Top Skills

BigQuery
Google Cloud Platform
Looker
Python
R
SQL
Tableau
Visier

What the Team is Saying

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Matt
Jasmeet
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Jung
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The Company
HQ: Santa Monica CA
5000 Employees
Year Founded: 2011

What We Do

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

Why Work With Us

Snap contributes to human progress by empowering people to express themselves live in the moment learn about the world and have fun together.

Gallery

Snap Inc. Teams

Team
Product + Tech
Team
Machine Learning
Team
Sales
About our Teams

Snap Inc. Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Our “default together” approach is an 80/20 model where we are asking team members to spend 80% of the time on average in the office with the remaining 20% of the time spent remote.

Typical time on-site: 4 days a week
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Date Posted

04/25/2026

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