Marketing Analyst, Paid Search
Looking for a company that inspires passion, courage and imagination, where you can be part of the team shaping the future of global commerce?Want to shape how millions of people buy, sell, connect, and share around the world? If you’re interested in joining a purpose driven community that is dedicated to creating an ambitious and inclusive workplace, join – a company you can be proud to be a part of.
Our purpose is to connect people through inspiring eventexperiences. We connect fans with their favorite teams, shows and artists and introduce them to the ones they'll love next. As the largest ticket marketplace in the world, we enable fans to buy and sell tickets to tens of thousands of events, whenever they want, through our desktop and mobileexperiences, including our app for iPhone, iPad, Apple Watch and Android. Offering a superior fan experience at its core, we reinvented the ticket resale market in 2 and continues to lead it through innovation. Our industry firsts include the introduction of the first ticketing application, the first interactive seat mapping tool and the first live entertainment rewards program, Fan Rewards™. Our business partners include more than 130 properties in MLB, NBA, NHL, MLS and NCAA, plus AEG, AXS and Spectra Ticketing & Fan Engagement. With the acquisition of Ticketbis in August 2016, throughout the world, we provide the total end-to-end event going experience.
We are seeking an expert SEM marketing analyst for our Marketing Analytics team to work closely with the marketing team, and the business team, alongside other Analytics and Data Science resources supporting optimizing our SEM effort and spending. The role reports to the Director of Marketing Analytics, alongside peers in Product Analytics, eCommerce Analytics, Data Science, Reporting, and Data Warehousing.
The ideal candidate combines outstanding business acumen and communication skills with excellent quant skills, with particular experienceapplying experimental design and analysis and multivariate modeling methodologies to optimizing paid search marketing.
The role is a San Francisco-based, at our headquarters. Candidates must be local or willing to relocate to the Bay Area.
Understand, inform, and contribute to the improvement of the business objectives and strategy of the SEM team and bridge from those to regular analyses and read-outs reporting performance and progress against the objectives, where the strategy is succeeding, and what should be done to double down on success or remediate where we’re falling short.
Work side-by-side daily with the SEM team, learning how they operate and producing analyses and narrated reports that help them do that as effectively as possible.
Identify opportunities to improve our SEM efforts and speak your mind to your colleagues in Marketing in 1:1s and large meetings.
Support on going planning and forecasting.
Design and analyze controlled experiments to measure incremental impact as well as constantly improve elements of Paid Search (ad copy, key word selection and bidding, all aspects of timing: day part, weekday, days-to-event, etc.)
Identify optimization opportunities and perform sizing analysis to assess the incremental audience, revenue, contribution margin and other potential impacts to core KPIs.
Identify opportunities to work with the reporting team to modify existing reports in our Reporting Portal, as well as adding new reports, as needed to keep abreast of the needs of the business.
Understand and help your colleagues understand how to prioritize reporting and analysis needs, favoring must-haves relative to nice-to-haves.
Must have extensive experience in SEM Marketing Analytics; fluent in the jargon unique to that discipline.
Fluency in web analytics and deep technical understanding of how data are created from first party and third party web beacons.
SQL fluency and willingness to learn HiveQL mandatory.
Proficiency with R, or the Python libraries a strong plus.
Excellent critical thinker with strong quantitative skills.
Demonstrably strong communication skills: truly knows what it means to assemble a story from data and can easily explain how and demonstrate it. Strong listening skills as well as the skills to persuade particularly based on evidence.
Thorough experience designing and analyzing experiments in a variety of circumstances, including eCommerce.
Strong interpersonal and communication skills, with a strong emphasis on teamwork, initiative, integrity, and native leadership skills.
At least 5 years in performance marketing analytics roles.
At least 3 of those years in SEM analytics.
BS/BA degree in a quantitative discipline, e.g., Math, Statistics, Physics, Operations Research, Economics, CS, etc., from a top tier school. Strong preference for candidates with advanced degrees in the same disciplines.