Business Intelligence Engineer
Bellevue - 110 110th Ave NE
Full Time Mid-level / Intermediate USD 107K - 189K
Snap Inc.
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.
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 it’s 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.
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. These pay zones may be modified in the future.
The base salary range for this position is $126,000-$189,000 annually.
This position is eligible for equity in the form of RSUs.
Tags: Agile BigQuery Business Intelligence Classification Computer Science Data analysis Data quality Data visualization Engineering ETL GCP Git Google Cloud Java Looker Mathematics Matplotlib NumPy Pandas Pipelines Python R Research Scala Scikit-learn Seaborn SQL Statistics Tableau Testing
Perks/benefits: Career development Equity / stock options Health care Medical leave Parental leave Startup environment
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