Description
WONDERY is seeking an exceptional Business Intelligence Engineer to join the Analytics & Research team in Los Angeles. In this role, you'll be at the intersection of data and entertainment, powering data-driven decisions across our core businesses - from hit podcasts and premium subscriptions to groundbreaking IP development. As a key member of our team, you'll architect data solutions, deliver actionable insights, and build automated systems that drive Wondery's continued growth as a leading global podcast network. Your work will directly impact how we create, monetize, and scale our award-winning content.
The ideal candidate combines strong technical expertise with business acumen and a passion for media and entertainment. You thrive in fast-paced environments, take ownership of complex problems, and have a proven track record of using data to drive results. If you're excited about shaping the future of entertainment through data-driven innovation, we want to hear from you.
Key job responsibilities
Design, build, and maintain scalable data models, ETL processes, and analytics infrastructure to support Wondery's business needs
Develop mission-critical dashboards and reports tracking key metrics; optimize query performance and improve data infrastructure efficiency across platforms
Serve as the analytics partner for key stakeholders, conducting deep-dive analyses, supporting strategic initiatives, and delivering actionable insights to drive data-informed decision making
Collaborate with Product, Engineering, and Business teams to define measurement strategies, integrate new data sources, and support cross-functional projects
About the team
Wondery, an Amazon company, is a premium podcast studio known for character-driven, binge-worthy stories including Dr. Death, American Scandal, Scamfluencers, and Business Wars, as well as distribution of hit partner shows Armchair Expert with Dax Shepard, Morbid, and New Heights with Jason and Travis Kelce. Wondery was behind six of the "Top 25 New Shows of 2024" (according to Podtrac) including Happily Never After: Dan and Nancy, The Rise and Fall of Ruby Franke, Kill List, The Price of Paradise, Criminal Attorney, and REDACTED: Declassified Mysteries with Luke Lamana. 74 shows from Wondery have hit #1 on Apple Podcasts. Many Wondery podcasts have been adapted for scripted television or streaming series, including Dr. Death and Joe vs. Carole on Peacock, The Shrink Next Door and WeCrashed on Apple TV+, and American Sports Story and Dying for Sex on FX. Wondery has gained critical acclaim and commercial success for its immersive approach to sonic, emotionally driven storytelling. The Wondery app offers a unique, personalized, podcast-first listening experience, including access to its premium offering Wondery+. With Wondery+, fans get a premium listening experience, including exclusive podcasts, early access to new episodes of hit shows, ad-free listening, merch discounts, live streamed events, and more. Our latest foray in the world of video has garnered 49.1 million global organic video views across 31 YouTube Channels, Spotify Video, and linear FAST channels.
Basic Qualifications
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience with data modeling, warehousing and building ETL pipelines
Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
Preferred Qualifications
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
Experience with performance marketing concepts, marketing attribution models, paid media channels and DSPs, specifically in the @context of mobile acquisition
Experience with A/B and multivariate testing aimed at optimizing conversion efficacy
Experience with tag management (Google Tag Manager, Adobe DTM, Tealium, Segment) and DSP data solutions (Ads Data Hub, Amazon Marketing Cloud, Tradedesk) and mobile measurement providers (Branch, Appsflyer, Kochava)
Experience implementing or providing requirements for marketing measurement and attribution
Familiarity with statistical concepts
Self-driven, with the ability to deliver on ambiguous projects with incomplete or dirty data.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.
