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Snap Inc.

Manager, Business Intelligence Engineering

Posted 4 Hours Ago
Be an Early Applicant
Hybrid
6 Locations
178K-313K Annually
Senior level
Hybrid
6 Locations
178K-313K Annually
Senior level
The Manager, Business Intelligence Engineering will lead a team to develop data analytics capabilities, collaborate with internal partners, create dashboards, and generate insights for business improvement.
The summary above was generated by AI

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.

 The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data.

We’re looking for a Manager, Business Intelligence Engineering to join Snap Inc! 

What you’ll do:

  • Lead a team to establish foundational data and analytics capabilities for our ads platform and identify key insights around our ads platform. 

  • Collaborate with Data Science, Product, and Engineering, and Business partners to design and build data tools/visualizations, operationalize metrics, conduct investigations, deliver actionable insights, and conduct in-depth product analysis.

  • Understand the challenges within our ads platform and help make decisions based on data driven insights by analyzing information from multiple sources in a logical and coherent data story

  • Build and maintain dashboards that communicate the performance of the various components of our ads platform with compelling data visualizations and consistency

  • Develop data pipelines that power our analytics data layer for analysis, reporting and dashboarding ensuring efficiency and reliability

  • Own the data model used to power our underlying data layer for monetization including the associated pipelines, data structures, and schemas

  • Maintain the key metric definitions and understand them at a deep level, offering recommendations for improvements and new metrics

  • Conduct exploratory and deep dive analysis to understand drivers of revenue performance and overall platform performance, developing actionable insights to Product and Engineering leadership

  • Own root-cause investigations starting from proactive identification of metric regressions to resolution including recommendations for long term product improvements 

  • Proactively identify improvements to our platform or business that can be expected to drive increased revenue

Knowledge, Skills & Abilities:

  • Data driven and analytical mindset

  • Hands-on expertise with data warehousing tools and workflow automation

  • Comfortable with quantitative concepts

  • Strong attention to detail and organizational skills

  • Excellent verbal and written communication skills

  • Ability to work in an agile, dynamic environment

  • Ability to use tech to improve work-flows and create efficiencies

Minimum Qualifications:

  • BS/BA degree in Analytics, Statistics, Economics or other technical field or equivalent years of experience

  • 10+ years of post-Bachelor’s analytics experience; or a Master’s degree in a technical field + 9+ year of post-grad analytics experience; or a PhD in a related technical field + 6+ years of post-grad analytics experience

  • 1+ years relevant people management experience

Preferred Qualifications:
  • Advanced Degree in Analytics, Statistics, Economics, Computer Science or other technical field

  • Experience as a data scientist and/or managing a data team

  • Experience in the digital media space

  • A passion for Snapchat as a user and knowledge of our ad products

  • Proficiency in Looker, BigQuery, and Airflow 

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 $209,000-$313,000 annually.


 

Zone B:

The base salary range for this position is $199,000-$297,000 annually.

Zone C:

The base salary range for this position is $178,000-$266,000 annually.

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

Top Skills

Airflow
BigQuery
Looker
HQ

Snap Inc. Santa Monica, California, USA Office

Snap LA is located in the Santa Monica Business Park. We're across the street from a ton of great restaurants, coffee shops, Clover Park, and more!

Machine Learning @ Snap

At Snap, Machine Learning Engineers are innovators, transforming massive amounts of data into intelligent, personalized experiences for over 850 million users. From revolutionizing content and ad platforms to enhancing search, our team leverages state of the art machine learning models to drive snapchat’s mission forward: to empower people to express themselves, live in the moment, learn and enjoy the world together. By pioneering technology that understands and anticipates user needs, Snap’s ML team fuels moments of discovery, connection, and joy - impacting lives and advancing human progress every day.

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