Snap Inc

Senior Business Intelligence Engineer (4)

Snap Inc$169K — $196K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's degree in Computer Science, Economics, Mathematics, or a related quantitative field plus 3 years of relevant experience, or Bachelor's degree plus 5 years of experience.
  • Proven quantitative analysis and research skills.
  • Experience with data modeling, warehousing, and ETL pipelines.
  • Strong proficiency in SQL for complex data extraction.
  • Proficient in Python or R for analytical tasks and data visualization.
  • Experience creating interactive dashboards using visualization tools like Looker or Visier.
  • Ability to clearly communicate complex data findings to diverse audiences.

Responsibilities

  • Analyze and collate data from multiple sources to inform decision-making.
  • Identify performance trends in auction campaigns and optimize strategies.
  • Build and maintain actionable dashboards and reports for advertiser performance.
  • Collaborate with cross-functional teams to develop data-based measurement strategies.
  • Proactively suggest projects aimed at revenue impact based on data insights.
  • Provide real-time analyses to Account Management for auction campaigns.
  • Serve as a thought leader on industry trends to enhance market strategy.

Benefits

  • Hybrid work model with 80% in-office requirement.
  • Eligibility for equity in the form of RSUs.
  • Access to comprehensive company benefits package.
Full Job Description
NOTICE OF JOB OPPORTUNITY

TITLE: Senior Business Intelligence Engineer (4)

Understand challenges the business faces and help them to make decisions based on data driven insights by collating and analyzing information from multiple sources and a logical and coherent story. Understand the business challenges and needs to help leadership make data driven decisions by analyzing and combining data across multiple sources. Identify performance trends across auction campaigns to fuel optimization recommendations; evangelize best practices across the account management group. Use data and logic to impact client and business success by providing analysis, insights, reports and actionable recommendations. Partner with cross-functional teams to build out measurement agendas/strategies, provide data-based insights for products in alpha or beta, and deliver feedback on data tools in development. Distill complicated analytical concepts for broader audiences and be able to influence their decision making through a data story. Build and maintain dashboards and reports to help the business understand and optimize advertiser performance and product development through a client-centric lens. Proactively identify projects that impact revenue, defines scope and objectives, and proposes a course of action required to attain objectives. Work with Account Management to provide real time analysis for auction campaigns; influence incremental spend through data driven upsell recommendations. Function as a thought leader, offering insights related to vertical or category industry trends in order to inform or strengthen Snap's in-market pitch.

EDUCATION AND EXPERIENCE REQUIREMENTS:

Master's degree or foreign equivalent in Computer Science, Informatics, Economics, Mathematics, Business Analytics or related quantitative field plus three (3) years of experience as a Business Intelligence Engineer or closely related experience; OR Bachelor's degree or foreign equivalent in Computer Science, Informatics, Economics, Mathematics, Business Analytics or related quantitative field plus five (5) years of experience as a Business Intelligence Engineer or closely related experience.

REQUIRED SKILLS:

Knowledge and/or experience in:
• Experience in quantitative analysis and research.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience writing complex SQL queries to pull data from data warehouses.
• Proficiency with Python or R for data analysis, data visualization, data manipulation / transformation, and automation tasks.
• Experience building data views and interactive dashboards for end users using data visualization tools such as Visier, or Looker, or Posit.
• Expertise in conducting statistical analyses, including descriptive statistics, regression, correlation, time series analysis, hypothesis testing, and using statistical analysis packages such as R or Python libraries (pandas or scikit-learn or NumPy).
• Development experience in at least one object-oriented or scripting language: Python, Java or Scala.
• Ability to effectively communicate complex findings to technical and non-technical audiences.
• 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.

*Knowledge / experience / proficiency / expertise / ability means knowledge / experience / proficiency / expertise / ability sufficient to adequately perform the duties of the job being offered.

OTHER: Job Site: Snap Inc., 229 West 43rd Street, New York City, NY 10036. *Hybrid work permitted - Snap practices a "default together" approach and expects our team members to work in the New York City, NY office at least 80% of the time (an average of 4 days per week). 40 hours/week. Base salary: $169,541 - $196,000 per year. This position is eligible for equity in the form of RSUs. Our Benefits: https://careers.snap.com/benefits. If offered employment must have legal right to work in U.S.

CONTACT: Apply through this website link: https://tinyurl.com/2299npb3

About Snap Inc

Snap Inc. is a camera and social media company. It was founded in 2011 by Evan Spiegel, Bobby Murphy, and Reggie Brown. The company is known for its Snapchat app, which allows users to send photos and videos that disappear after being viewed. Snap Inc. is headquartered in Santa Monica, California and has offices around the world. The company went public in 2017 and is listed on the New York Stock Exchange.
Learn more about Snap Inc
Size
5,661 employees
Market Cap
$13.9 billion
Industry
Net Income
-$944.8 million
Founded
2016
5 Year Trend
+59.1%
Revenue
$2.5 billion
NASDAQ

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