Analytics Lead, Wondery

DESCRIPTION

Wondery is hiring an experienced Analytics Lead to join the Analytics & Research (A&R) team in Culver City, Los Angeles. As a senior member of the team, you will both oversee strategic products and build the technical infrastructure that enables them. You will collaborate with both Business Intelligence Engineers and Market Researchers on the team, alternating between supporting them with technical solution design and hands-on execution. Importantly, this role will be business vertical agnostic. You will work with business leaders and stakeholders across teams, including Wondery+, Content, Sales, Marketing, International, and IP Development. You will be a part of the larger Wondery Product, Data & Tech organization, reporting to the Head of Analytics & Research.

This role is ideal for someone with strong data analysis experience, a passion for entertainment, media and technology, especially Podcasts and audio, business acumen, and a track record of being resourceful with using data to solve problems. The ideal candidate will be self-driven and have a combination of experience and attitude that will help them thrive in a fast-paced, results-driven environment built around a strong culture.

Key job responsibilities

• Develop mechanisms with key stakeholders from business teams to understand changing business needs, objectives, and opportunities

• Take ownership of and execute against the Wondery Analytics roadmap

• Create ad-hoc reports and data dashboards reports that help inform resource allocation decisions, including ROI and cost-benefit analyses

• Collaborate with Wondery's Data Engineering team to develop bar-raising analytics infrastructure, including: new data pipelines, automations, models, and other analytics solutions.

• Provide input and insights into post-launch and post-campaign wrap-ups for executive stakeholders, become the authoritative voice on results while providing context and other insights

• Lead team meetings and influence stakeholders to take action on business opportunities presented from the insights generated

• Contribute to and produce Business Reviews, Operating Plans, and Roadmap documents

• Ensure new initiatives are properly implemented, both from a methodological and from an instrumentation perspective

• Interact with internal Amazon teams and 3rd party providers to innovate and stay ahead of industry trends

About the team

We are an analytics and business intelligence engineering team that supports a broad array of Wondery stakeholders through analysis and insights, reporting, analytics dashboard and data tools, statistical models, and technical solution design. Our deliverables are critical to the operations of many teams at Wondery, including: Sales, Marketing, Finance, International, Wondery+, and Leadership. We are responsible for the administration of 3P marketing tech tools like Chartable, Branch, mParticle; relationships with 3P data providers; and analytics instrumentation on Wondery 1P platforms. The team oversees four main functional areas: domestic sales, domestic marketing, Wondery+ & product, and International (IX).

Wondery, an Amazon company, is a premium podcast studio known for character-driven, binge-worthy stories including Dr. Death, British Scandal, Even the Rich and Business Wars, as well as distribution of hit partner shows SmartLess, Morbid, and How I Built This. Wondery was behind eight of the "Top 25 New Shows of 2022" (according to Podtrac) and is the #2 podcast network in the US (according to Podtrac and Triton) including Twin Flames, Fed Up and Will be Wild. Over 50 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 and The Shrink Next Door and WeCrashed on Apple TV+. 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.

We are open to hiring candidates to work out of one of the following locations:

Culver City, CA, USA

BASIC QUALIFICATIONS

• 4+ years of professional or military experience

• 4+ years of SQL experience

• Experience with performance marketing concepts, including attribution models

• Experience with data visualization tools (Tableau, Periscope, Looker, Plot.ly)

• Experience with web and mobile analytics solutions (Adobe Analytics, Google Analytics, Amplitude)

• Experience with tag management solutions (Google Tag Manager, Adobe DTM, Tealium, Segment)

• Familiarity with statistical concepts

• Experience understanding and interacting with varying audiences and stakeholders

• A self-starter, able to excel in a fast-paced work environment

PREFERRED QUALIFICATIONS

• Master's degree in statistics, data science, or an equivalent quantitative field

• Experience with video and streaming data

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $104,300/year in our lowest geographic market up to $202,800/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.