Business Intelligence Engineer, Level 4

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 , a visual messaging app that enhances your relationships with friends, family, and the world;

, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, .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.

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, Num Py)
* 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 Big Query
* 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 ."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…