At Snap, I lead marketing science for Tech advertisers. This entails building measurement learning agendas to test new ad products / bidding strategies and running bespoke analyses using data from advertisers and Snap user behavior. My additional focus is on data clean rooms (DCR), and I work closely with DCR/identity vendors and clients to set up clean rooms and data-flows, and conduct data analyses that tie ad impressions to advertiser outcomes (signups, purchases, subscriptions, etc.).

I was a principal analytics consultant within a sales team that supported direct-to-consumer retail advertisers. I oversaw measurement engagements with advertisers and developed learning agendas to prove the value of Google Search and YouTube. This included executing incrementality studies (geo-experiments, conversion lift studies), running bespoke industry analysis using Google search data and weaving in data from MMM models and Google Analytics (GA4) to improve advertiser outcomes such as ROAS (return on ad spend).

May 2022 - Nov 2022 - Product Analytics, Amazon Advertising

As part of the Amazon DSP product analytics team, I provided analytics support for Amazon's media planning tool used by advertisers to plan media across 1P and 3{ CTV inventory.

Oct 2021 - May 2022 - Physical Store Ads

I set up the data foundation for business and campaign metrics reporting for Amazon's new out-of-home business uni - Physical Stores Ads. Our flagship product allowed advertisers to buy inventory across digital screens in Amazon's suite of grocer stores spanning Whole Foods, Amazon Fresh, and Amazon Go.

My focus was split across sourcing and reporting business metrics, creating narratives on advertiser performance and participation, and setting up campaign reporting. video and static ads placed on digital screens to engage with grocery customers who shop in-store. I created reproducible analysis frameworks that allowed our sales teams to create meaningful narratives on campaign performance for our advertising customers.

comiXology (CMX) is a digital comics platform, wholly owned by Amazon since 2014, that hosts a vast library of mainstream and independent comics accessible via a la carte purchases, our dedicated comics subscription program, and available to Amazon customers via our Prime and Kindle Unlimited initiatives. I reported to comiXology’s CEO and led business intelligence and analytics efforts with oversight across data engineering, reporting automation and ad hoc insights generation across ongoing product and marketing initiatives. In 2021, we migrated comixology.com over to Amazon and I led efforts to create analysis frameworks to understand the ebb and flow of paying a la carte and subscription customers across Amazon and CMX.

My focus within the Jira Cloud Platform team was to help Product Managers make data-informed decisions. Part of this was achieved by curating analytics resources (analytics events, code, documentation, dashboards), communicating gaps in analytics instrumentation and working with a team of developers dedicated to bringing practical measurements to life.

I lead efforts to help patent "NavDex" - a suite of UX metrics that helped quantify the navigation experience in Jira.