Senior Data Analytics Engineer

United States - Remote OneSignal is a leading omnichannel customer engagement solution, powering personalized customer journeys across mobile and web push notifications, in-app messaging, SMS, and email. On a mission to democratize customer engagement, we enable businesses to keep their 1.5B monthly active users engaged and up to date by delivering over 1.3T messages a year! 1 in 4 app publishers trust OneSignal to power their customer engagement! And we support companies in 140 countries! Our customers range from startups and small businesses just getting off the ground to established companies such as Live Nation, American Express, Whole Foods, Zynga, Bitcoin.com, and many more. We’re Series C, venture-backed by SignalFire, Rakuten Ventures, Y Combinator, HubSpot, and BAM Elevate. We offer remote work as the default option in the United States in California, Colorado, Massachusetts, New York, New Jersey, Oregon, Pennsylvania, Texas, Utah and Washington. As well as in the UK, Singapore, and Canada - with plans to expand the locations we support in the future. Some roles are hybrid roles and will be listed as such. We have offices in San Mateo, CA and London, UK, and offer flex seating options for employees to work together in-person in NY and other areas. Hiring in Singapore is done in partnership with a local EOR, and hiring in Canada is done in partnership with Rippling's EOR. OneSignal has a lot of the great tech startup qualities you'd expect, but we don't stop there. Our massive scale and small team, emphasis on collaboration, and focus on ownership and personal growth make OneSignal a uniquely great place to work.

About The Team:

The operations team is a highly strategic and analytical team that helps guide and implement strategic initiatives across the company. We are looking for a Data & Analytics specialist to connect and organize our data across the company to drive visibility into performance and strategy across our sales, marketing, product, operations, finance, and engineering efforts. The ideal candidate will have some background in data engineering.

What You'll Do:

• Design, build and maintain business-critical data and distributed systems that will provide real time and reliable data to for all of our go to market tools and internal users
• Connect our production backend / data to business systems including salesforce, marketo, intercom, google analytics, metabase, etc. This can include working with a data warehouse / data lake, organizing large scale data (we send 10 billion notifications a day), and building ETLs to business systems
• Evaluate ways to increase the efficiency of internal data flows and centralize sources of truth
• Innovate,...